12. ICANN 2002:
Madrid,
Spain
José R. Dorronsoro (Ed.):
Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings.
Lecture Notes in Computer Science 2415 Springer 2002, ISBN 3-540-44074-7 BibTeX
@proceedings{DBLP:conf/icann/2002,
editor = {Jos{\'e} R. Dorronsoro},
title = {Artificial Neural Networks - ICANN 2002, International Conference,
Madrid, Spain, August 28-30, 2002, Proceedings},
booktitle = {ICANN},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {2415},
year = {2002},
isbn = {3-540-44074-7},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Computational Neuroscience
- Gustavo Deco, Edmund T. Rolls:
A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data.
3-8
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- Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado:
A Neural Model of Spatio Temporal Coordination in Prehension.
9-14
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- Andreas Thiel, Christian W. Eurich, Helmut Schwegler:
Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback.
15-20
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- Wolfgang Einhäuser, Christoph Kayser, Konrad P. Körding, Peter König:
Learning Multiple Feature Representations from Natural Image Sequences.
21-26
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- Carlos Aguirre, Ramón Huerta, Fernando J. Corbacho, Pedro Pascual:
Analysis of Biologically Inspired Small-World Networks.
27-32
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- Jarmo Hurri, Aapo Hyvärinen:
Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video.
33-38
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- Maria Marinaro, Silvia Scarpetta:
Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks.
39-44
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- Bruce P. Graham:
Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse.
45-50
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- Barbara Caputo, Heinrich Niemann:
Storage Capacity of Kernel Associative Memories.
51-56
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- Jörg Lücke, Christoph von der Malsburg, Rolf P. Würtz:
Macrocolumns as Decision Units.
57-62
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- Thomas Wennekers:
Nonlinear Analysis of Simple Cell Tuning in Visual Cortex.
63-68
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- Phill Rowcliffe, Jianfeng Feng, Hilary Buxton:
Clustering within Integrate-and-Fire Neurons for Image Segmentation.
69-74
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- Rogério de Oliveira, Luiz Henrique Alves Monteiro:
Symmetry Detection Using Global-Locally Coupled Maps.
75-80
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- Pietro Berkes, Laurenz Wiskott:
Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties.
81-86
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- Thomas Strösslin, Christophe Krebser, Angelo Arleo, Wulfram Gerstner:
Combining Multimodal Sensory Input for Spatial Learning.
87-92
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- Rüdiger Kupper, Reinhard Eckhorn:
A Neural Network Model Generating Invariance for Visual Distance.
93-98
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- Ilya A. Rybak, Dmitry G. Ivashko, Boris I. Prilutsky, M. Anthony Lewis, John K. Chapin:
Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG.
99-104
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- Angel Nevado, Malcolm P. Young, Stefano Panzeri:
Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques.
105-110
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- Maurizio Mattia, Paolo Del Giudice:
Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays.
111-116
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- Nhamo Mtetwa, Leslie S. Smith, Amir Hussain:
Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons.
117-122
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- Peter Auer, Harald Burgsteiner, Wolfgang Maass:
Reducing Communication for Distributed Learning in Neural Networks.
123-128
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- David R. C. Dominguez, Elka Korutcheva, W. K. Theumann, Rubem Erichsen Jr.:
Flow Diagrams of the Quadratic Neural Network.
129-134
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- Gianluigi Mongillo, Daniel J. Amit:
Dynamics of a Plastic Cortical Network.
135-140
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- Michele Giugliano, Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Stefano Fusi:
Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron.
141-146
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- Kris De Meyer, J. Mark Bishop, Slawomir J. Nasuto:
Small-World Effects in Lattice Stochastic Diffusion Search.
147-152
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- Burkhard Iske, Axel Löffler, Ulrich Rückert:
A Direction Sensitive Network Based on a Biophysical Neurone Model.
153-159
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- Roberto Latorre, Francisco de Borja Rodríguez Ortiz, Pablo Varona:
Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis.
160-166
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- Francisco de Borja Rodríguez Ortiz, Roberto Latorre, Pablo Varona:
Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis.
167-173
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- José Manuel Ferrández de Vicente, Markus Bongard, Francisco García de Quirós, Jose Angel Bolea, Eduardo Fernández:
Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory.
174-179
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- Giancarlo La Camera, Alexander Rauch, Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi:
Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations.
180-185
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- David C. Sterratt, Arjen van Ooyen:
Does Morphology Influence Temporal Plasticity?
186-191
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- Christopher Johansson, Anders Sandberg, Anders Lansner:
Attractor Neural Networks with Hypercolumns.
192-197
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- Eduardo Sánchez Vila, Senén Barro, Antonio Canedo:
Edge Detection and Motion Discrimination in the Cuneate Nucleus.
198-203
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- Alessandro Usseglio Viretta, Stefano Fusi, Shih-Chii Liu:
Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks.
204-209
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- Darryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe:
Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons.
210-215
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- Francisco García-Córdova, Javier Molina-Vilaplana, Juan López Coronado:
A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform.
216-222
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- Rubén Moreno, Néstor Parga:
Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input.
223-228
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- Jens R. Otterpohl, Klaus Pawelzik:
Iterative Population Decoding Based on Prior Beliefs.
229-234
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- Giancarlo La Camera, Stefano Fusi, Walter Senn, Alexander Rauch, Hans-Rudolf Lüscher:
When NMDA Receptor Conductances Increase Inter-spike Interval Variability.
235-240
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- Stefano Fusi:
Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity.
241-247
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- Manuel A. Sánchez-Montañés, Luis F. Lago-Fernández, Nazareth P. Castellanos, Ángel Merchán-Pérez, Jon I. Arellano, Javier DeFelipe:
A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy.
248-253
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- Wolfgang Maass:
On the Computational Power of Neural Microcircuit Models: Pointers to the Literature.
254-258
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Connectionist Cognitive Science
- Erol Gelenbe, Ricardo Lent, Zhiguang Xu:
Networking with Cognitive Packets.
259-264
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- J. G. (Iain) Wallace, Kevin Bluff:
Episodic Memory: A Connectionist Interpretation.
265-270
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- Hervé Frezza-Buet:
Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach.
271-276
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- Ivilin Stoianov, Marco Zorzi, Suzanna Becker, Carlo Umilta:
Associative Arithmetic with Boltzmann Machines: The Role of Number Representations.
277-283
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- Douglas Eck, Jürgen Schmidhuber:
Learning the Long-Term Structure of the Blues.
284-289
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- Antonella Bua, Marco Gori, Fabrizio Santini:
Recursive Neural Networks Applied to Discourse Representation Theory.
290-295
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- Sheila Garfield, Stefan Wermter:
Recurrent Neural Learning for Helpdesk Call Routing.
296-301
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- Jerzy J. Korczak, Emmanuel Blindauer:
An Approach to Encode Multilayer Perceptrons.
302-307
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- J. Mark Bishop, Slawomir J. Nasuto, Kris De Meyer:
Dynamic Knowledge Representation in Connectionist Systems.
308-313
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- Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchís:
Generative Capacities of Cellular Automata Codification for Evolution of NN Codification.
314-322
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Data Analysis and Pattern Recognition
- J. David Buldain Pérez:
Entropic Measures with Radial Basis Units.
323-328
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- Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller:
New Methods for Splice Site Recognition.
329-336
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- Yoshifusa Ito:
A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks.
337-343
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- Ali Syed Saad Azhar, Hussain N. Al-Duwaish:
Identification of Wiener Model Using Radial Basis Functions Neural Networks.
344-350
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- Max Welling, Geoffrey E. Hinton:
A New Learning Algorithm for Mean Field Boltzmann Machines.
351-357
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- Hsin Chen, Alan F. Murray:
A Continuous Restricted Boltzmann Machine with a Hardware-Amenable Learning Algorithm.
358-363
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- José Elías Herrero Jaraba, Carlos Orrite-Uruñuela, J. David Buldain Pérez, Armando Roy-Yarza:
Human Recognition by Gait Analysis Using Neural Networks.
364-369
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- Barbara Hammer, Marc Strickert, Thomas Villmann:
Learning Vector Quantization for Multimodal Data.
370-376
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- Miroslaw Galicki, Lutz Leistritz, Herbert Witte:
Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities.
377-382
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- Bart Bakker, Tom Heskes:
Model Clustering for Neural Network Ensembles.
383-388
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- José Luis Fernández-Villacañas Martín, Mónica Sierra Sánchez:
Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms?
389-394
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- Jesús Manuel Besada-Juez, Miguel A. Sanz-Bobi:
Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network.
395-400
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- Andreas Alexander Albrecht, Staal A. Vinterbo, C. K. Wong, Lucila Ohno-Machado:
A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data.
401-407
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- Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
Neural Minimax Classifiers.
408-413
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- Martin Lauer:
Sampling Parameters to Estimate a Mixture Distribution with Unknown Size.
414-419
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- Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist:
Selecting Neural Networks for Making a Committee Decision.
420-425
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- Patrice Fleury, Alan F. Murray, H. Martin Reekie:
High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning.
426-431
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- Sebastian Weng, Jochen J. Steil:
Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling.
432-437
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- Miguel L. Bote-Lorenzo, Yannis A. Dimitriadis, Eduardo Gómez-Sánchez:
A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-Fuzzy System for On-Line Handwriting Recognition.
438-443
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- Giancarlo Ferrari-Trecate, Marco Muselli:
A New Learning Method for Piecewise Linear Regression.
444-449
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- Thore Graepel, Nicol N. Schraudolph:
Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems.
450-455
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- Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo:
Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems.
456-461
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- Victor M. Preciado:
Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network.
462-467
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- Davide Anguita, Matteo Gagliolo:
MDL Based Model Selection for Relevance Vector Regression.
468-473
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- Mario Köppen:
On the Training of a Kolmogorov Network.
474-479
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- Nojun Kwak, Chong-Ho Choi:
A New Method of Feature Extraction and Its Stability.
480-485
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- Khalid Benabdeslem, Younès Bennani, Eric Janvier:
Visualization and Analysis of Web Navigation Data.
486-491
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- Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii:
Missing Value Estimation Using Mixture of PCAs.
492-497
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- Jakob Svensson, Manfred von Hellermann, Ralf König:
High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas.
498-503
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- Krzysztof Grabczewski, Wlodzislaw Duch:
Heterogeneous Forests of Decision Trees.
504-509
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- Stéphane Bounkong, David Saad, David Lowe:
Independent Component Analysis for Domain Independent Watermarking.
510-515
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- Thomas Ragg, Frank Padberg, Ralf Schoknecht:
Applying Machine Learning to Solve an Estimation Problem in Software Inspections.
516-521
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- Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii:
Clustering of Gene Expression Data by Mixture of PCA Models.
522-527
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- Masashi Sugiyama, Klaus-Robert Müller:
Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces.
528-534
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- Takafumi Kanamori:
A New Sequential Algorithm for Regression Problems by Using Mixture Distribution.
535-540
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- Damián López, María José Castro:
Neural-Based Classification of Blocks from Documents.
541-546
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- Sancho Salcedo-Sanz, Mario de Prado-Cumplido, Fernando Pérez-Cruz, Carlos Bousoño-Calzón:
Feature Selection via Genetic Optimization.
547-552
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- Jesús González, Ignacio Rojas, Héctor Pomares:
Neural Networks, Clustering Techniques, and Function Approximation Problems.
553-558
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- Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser:
Evolutionary Training of Neuro-fuzzy Patches for Function Approximation.
559-564
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- César Martínez, Alfons Juan, Francisco Casacuberta:
Using Recurrent Neural Networks for Automatic Chromosome Classification.
565-570
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- Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik:
A Mixed Ensemble Approach for the Semi-supervised Problem.
571-576
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- Álvaro Mateos, Javier Herrero, Joaquín Dopazo:
Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes.
577-582
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- Gérald Gavin, Olivier Teytaud:
Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error.
583-588
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- Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto, Ignacio Rojas:
SSA, SVD, QR-cp, and RBF Model Reduction.
589-594
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- Martijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner:
Linkage Analysis: A Bayesian Approach.
595-600
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- Alessandro Sperduti:
On Linear Separability of Sequences and Structures.
601-606
Electronic Edition (Springer LINK) BibTeX
- Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann:
Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data.
607-612
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- Pedro J. Zufiria, Carlos Rivero:
EM-Based Radial Basis Function Training with Partial Information.
613-618
Electronic Edition (Springer LINK) BibTeX
- Matteo Giudici, Filippo Queirolo, Maurizio Valle:
Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters.
619-624
Electronic Edition (Springer LINK) BibTeX
- Alejandro Sierra, Fernando J. Corbacho:
Input and Output Feature Selection.
625-630
Electronic Edition (Springer LINK) BibTeX
- Luis F. Lago-Fernández, Fernando J. Corbacho:
Optimal Extraction of Hidden Causes.
631-636
Electronic Edition (Springer LINK) BibTeX
- Manuel A. Sánchez-Montañés, Fernando J. Corbacho:
Towards a New Information Processing Measure for Neural Computation.
637-642
Electronic Edition (Springer LINK) BibTeX
- Magnus Stensmo:
A Scalable and Efficient Probabilistic Information Retrieval and Text Mining System.
643-648
Electronic Edition (Springer LINK) BibTeX
- Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi:
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit.
649-654
Electronic Edition (Springer LINK) BibTeX
- Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters.
655-660
Electronic Edition (Springer LINK) BibTeX
- Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
Hierarchical Model Selection for NGnet Based on Variational Bayes Inference.
661-666
Electronic Edition (Springer LINK) BibTeX
- Brieuc Conan-Guez, Fabrice Rossi:
Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach.
667-672
Electronic Edition (Springer LINK) BibTeX
- José R. Dorronsoro, Ana M. González:
Natural Gradient and Multiclass NLDA Networks.
673-680
Electronic Edition (Springer LINK) BibTeX
Kernel Methods
- Gavin C. Cawley, Nicola L. C. Talbot:
A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines.
681-686
Electronic Edition (Springer LINK) BibTeX
- Vladimir Cherkassky, Yunqian Ma:
Selection of Meta-parameters for Support Vector Regression.
687-693
Electronic Edition (Springer LINK) BibTeX
- Thore Graepel:
Kernel Matrix Completion by Semidefinite Programming.
694-699
Electronic Edition (Springer LINK) BibTeX
- Masa-aki Sato, Shigeyuki Oba:
Incremental Sparse Kernel Machine.
700-707
Electronic Edition (Springer LINK) BibTeX
- Alain Rakotomamonjy, Stéphane Canu:
Frame Kernels for Learning.
707-712
Electronic Edition (Springer LINK) BibTeX
- Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle:
Robust Cross-Validation Score Function for Non-linear Function Estimation.
713-719
Electronic Edition (Springer LINK) BibTeX
- Bart Hamers, Johan A. K. Suykens, Bart De Moor:
Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models.
720-726
Electronic Edition (Springer LINK) BibTeX
- Koji Tsuda, Motoaki Kawanabe:
The Leave-One-Out Kernel.
727-732
Electronic Edition (Springer LINK) BibTeX
- Silvio Borer, Wulfram Gerstner:
Support Vector Representation of Multi-categorical Data.
733-738
Electronic Edition (Springer LINK) BibTeX
- Takashi Takahashi, Takio Kurita:
Robust De-noising by Kernel PCA.
739-744
Electronic Edition (Springer LINK) BibTeX
- Peter Meinicke, Thorsten Twellmann, Helge Ritter:
Maximum Contrast Classifiers.
745-750
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- Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Puncturing Multi-class Support Vector Machines.
751-756
Electronic Edition (Springer LINK) BibTeX
- Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Multi-dimensional Function Approximation and Regression Estimation.
757-762
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- Javier M. Moguerza, Alberto Muñoz, Manuel Martín-Merino:
Detecting the Number of Clusters Using a Support Vector Machine Approach.
763-768
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- George Siolas, Florence d'Alché-Buc:
Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling.
769-776
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Robotics and Control
- Masa-aki Sato, Yutaka Nakamura, Shin Ishii:
Reinforcement Learning for Biped Locomotion.
777-782
Electronic Edition (Springer LINK) BibTeX
- Martin Hülse, Frank Pasemann:
Dynamical Neural Schmitt Trigger for Robot Control.
783-788
Electronic Edition (Springer LINK) BibTeX
- David McMinn, Grant M. Maxwell, Christopher MacLeod:
Evolutionary Artificial Neural Networks for Quadruped Locomotion.
789-794
Electronic Edition (Springer LINK) BibTeX
- Jörg Conradt, Pascal Simon, Michel Pescatore, Paul F. M. J. Verschure:
Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance.
795-800
Electronic Edition (Springer LINK) BibTeX
- Randa Herzallah, David Lowe:
A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems.
801-806
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- Rodolfo E. Haber, Angel Alique, José R. Alique:
Tool Wear Prediction in Milling Using Neural Networks.
807-812
Electronic Edition (Springer LINK) BibTeX
- Ralf Schoknecht, Martin A. Riedmiller:
Speeding-up Reinforcement Learning with Multi-step Actions.
813-818
Electronic Edition (Springer LINK) BibTeX
- Branimir Todorovic, Miomir Stankovic, Claudio Moraga:
Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification.
819-824
Electronic Edition (Springer LINK) BibTeX
- Wolfgang Hübner, Hanspeter A. Mallot:
Integration of Metric Place Relations in a Landmark Graph.
825-830
Electronic Edition (Springer LINK) BibTeX
- Steffen Simon, Friedhelm Schwenker, Hans A. Kestler, Gerhard K. Kraetzschmar, Günther Palm:
Hierarchical Object Classification for Autonomous Mobile Robots.
831-836
Electronic Edition (Springer LINK) BibTeX
- J. A. Becerra, Richard J. Duro, José Santos Reyes:
Self Pruning Gaussian Synapse Networks for Behavior Based Robots.
837-843
Electronic Edition (Springer LINK) BibTeX
- Samuel Benzaquen, Carolina Chang:
Second-Order Conditioning in Mobile Robots.
844-849
Electronic Edition (Springer LINK) BibTeX
- Lukas Lichtensteiger, Rolf Pfeifer:
An Optimal Sensor Morphology Improves Adaptability of Neural Network Controllers.
850-855
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- Vicente Ruiz de Angulo, Carme Torras:
Learning Inverse Kinematics via Cross-Point Function Decomposition.
856-864
Electronic Edition (Springer LINK) BibTeX
Selforganization
- Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
The Principal Components Analysis Self-Organizing Map.
865-870
Electronic Edition (Springer LINK) BibTeX
- Elias Pampalk, Andreas Rauber, Dieter Merkl:
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps.
871-876
Electronic Edition (Springer LINK) BibTeX
- Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann:
Rule Extraction from Self-Organizing Networks.
877-883
Electronic Edition (Springer LINK) BibTeX
- Akira Hirose, Tomoyuki Nagashima:
Predictive Self-Organizing Map for Vector Quantization of Migratory Signals.
884-889
Electronic Edition (Springer LINK) BibTeX
- Mustapha Lebbah, Christian Chabanon, Fouad Badran, Sylvie Thiria:
Categorical Topological Map.
890-895
Electronic Edition (Springer LINK) BibTeX
- Christo Panchev, Stefan Wermter, Huixin Chen:
Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites.
896-901
Electronic Edition (Springer LINK) BibTeX
- Axel Saalbach, Gunther Heidemann, Helge Ritter:
Parametrized SOMs for Object Recognition and Pose Estimation.
902-907
Electronic Edition (Springer LINK) BibTeX
- Alessio Plebe:
An Effective Traveling Salesman Problem Solver Based on Self-Organizing Map.
908-913
Electronic Edition (Springer LINK) BibTeX
- Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse:
Coordinating Principal Component Analyzers.
914-919
Electronic Edition (Springer LINK) BibTeX
- Roberto Viviani:
Lateral Interactions in Self-Organizing Maps.
920-926
Electronic Edition (Springer LINK) BibTeX
- Anssi Lensu, Pasi Koikkalainen:
Complexity Selection of the Self-Organizing Map.
927-932
Electronic Edition (Springer LINK) BibTeX
- John Aldo Lee, Michel Verleysen:
Nonlinear Projection with the Isotop Method.
933-938
Electronic Edition (Springer LINK) BibTeX
- Jens Christian Claussen, Heinz G. Schuster:
Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map.
939-944
Electronic Edition (Springer LINK) BibTeX
- Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas:
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks.
945-950
Electronic Edition (Springer LINK) BibTeX
- Juha Vesanto, Mika Sulkava:
Distance Matrix Based Clustering of the Self-Organizing Map.
951-956
Electronic Edition (Springer LINK) BibTeX
- Dimitrios Vogiatzis, Andreas Stafylopatis:
Mapping the Growing Neural Gas to Situation Calculus.
957-962
Electronic Edition (Springer LINK) BibTeX
- Ernesto Chiarantoni, Giuseppe Acciani, Girolamo Fornarelli, Silvano Vergura:
Robust Unsupervised Competitive Neural Network by Local Competitive Signals.
963-968
Electronic Edition (Springer LINK) BibTeX
- Anand Panangadan, Michael G. Dyer:
Goal Sequencing for Construction Agents in a Simulated Environment.
969-974
Electronic Edition (Springer LINK) BibTeX
- Guilherme De A. Barreto, Aluizio F. R. Araújo:
Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map.
975-980
Electronic Edition (Springer LINK) BibTeX
- Markus Koskela, Jorma Laaksonen, Erkki Oja:
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps.
981-986
Electronic Edition (Springer LINK) BibTeX
- Andrew Hunter, Richard Lee Kennedy:
A Pareto Self-Organizing Map.
987-992
Electronic Edition (Springer LINK) BibTeX
- Apostolos Georgakis, Constantine Kotropoulos, Ioannis Pitas:
A SOM Variant Based on the Wilcoxon Test for Document Organization and Retrieval.
993-998
Electronic Edition (Springer LINK) BibTeX
- Jaakko Peltonen, Arto Klami, Samuel Kaski:
Learning More Accurate Metrics for Self-Organizing Maps.
999-1004
Electronic Edition (Springer LINK) BibTeX
- Ignacio Díaz Blanco, Abel A. Cuadrado Vega, Alberto B. Diez González:
Correlation Visualization of High Dimensional Data Using Topographic Maps.
1005-1012
Electronic Edition (Springer LINK) BibTeX
Signal and Time Series Analysis
- Arthur Flexer, Georg Gruber, Georg Dorffner:
Continuous Unsupervised Sleep Staging Based on a Single EEG Signal.
1013-1018
Electronic Edition (Springer LINK) BibTeX
- Kai Chun Chiu, Lei Xu:
Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management.
1019-1024
Electronic Edition (Springer LINK) BibTeX
- Zhiyong Liu, Lei Xu:
On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model.
1025-1030
Electronic Edition (Springer LINK) BibTeX
- Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic:
Error Functions for Prediction of Episodes of Poor Air Quality.
1031-1036
Electronic Edition (Springer LINK) BibTeX
- José L. Sanz-González, Francisco Álvarez-Vaquero:
Adaptive Importance Sampling Technique for Neural Detector Training.
1037-1042
Electronic Edition (Springer LINK) BibTeX
- Hans van Lint, Serge P. Hoogendoorn, Henk J. van Zuylen:
State Space Neural Networks for Freeway Travel Time Prediction.
1043-1048
Electronic Edition (Springer LINK) BibTeX
- Fabian J. Theis, Elmar Wolfgang Lang, Tobias Westenhuber, Carlos García Puntonet:
Overcomplete ICA with a Geometric Algorithm.
1049-1054
Electronic Edition (Springer LINK) BibTeX
- Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters.
1055-1069
Electronic Edition (Springer LINK) BibTeX
- Georg Zimmermann, Ralph Grothmann, Christoph Tietz, Ralph Neuneier:
Market Modeling Based on Cognitive Agents.
1061-1067
Electronic Edition (Springer LINK) BibTeX
- Mikko Kurimo, Krista Lagus:
An Efficiently Focusing Large Vocabulary Language Model.
1068-1073
Electronic Edition (Springer LINK) BibTeX
- Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components.
1074-1079
Electronic Edition (Springer LINK) BibTeX
- Héctor Allende, Claudio Moraga, Rodrigo Salas:
Robust Estimator for the Learning Process in Neural Networks Applied in Time Series.
1080-1086
Electronic Edition (Springer LINK) BibTeX
- Tobias Blaschke, Laurenz Wiskott:
An Improved Cumulant Based Method for Independent Component Analysis.
1087-1093
Electronic Edition (Springer LINK) BibTeX
- Lars Kindermann, Achim Lewandowski, Peter Protzel:
Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration.
1094-1099
Electronic Edition (Springer LINK) BibTeX
- José Luis Rojo-Álvarez, Arcadio García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Support Vector Robust Algorithms for Non-parametric Spectral Analysis.
1100-1105
Electronic Edition (Springer LINK) BibTeX
- José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez:
Support Vector Method for ARMA System Identification: A Robust Cost Interpretation.
1106-1111
Electronic Edition (Springer LINK) BibTeX
- Gleb Basalyga, Magnus Rattray:
Dynamics of ICA for High-Dimensional Data.
1112-1118
Electronic Edition (Springer LINK) BibTeX
- Riccardo Boscolo, Hong Pan, Vwani P. Roychowdhury:
Beyond Comon's Identifiability Theorem for Independent Component Analysis.
1119-1124
Electronic Edition (Springer LINK) BibTeX
- Alexandre Hauser, Pierre-Edouard Sottas, José del R. Millán:
Temporal Processing of Brain Activity for the Recognition of EEG Patterns.
1125-1130
Electronic Edition (Springer LINK) BibTeX
- Panayiotis Ch. Andreou, Chris Charalambous, Spiros H. Martzoukos:
Critical Assessment of Option Pricing Methods Using Artificial Neural Networks.
1131-1136
Electronic Edition (Springer LINK) BibTeX
- Benjamin Blankertz, Christin Schäfer, Guido Dornhege, Gabriel Curio:
Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates.
1137-1143
Electronic Edition (Springer LINK) BibTeX
- Pierre-Edouard Sottas, Wulfram Gerstner:
Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks.
1144-1149
Electronic Edition (Springer LINK) BibTeX
- Gustavo López-Risueño, Jesús Grajal, Simon Haykin, Rosa Díaz-Oliver:
Convolutional Neural Networks for Radar Detection.
1150-1155
Electronic Edition (Springer LINK) BibTeX
- Jens Kohlmorgen, Benjamin Blankertz:
A Simple Generative Model for Single-Trial EEG Classification.
1156-1161
Electronic Edition (Springer LINK) BibTeX
- Pando G. Georgiev, Andrzej Cichocki:
Robust Blind Source Separation Utilizing Second and Fourth Order Statistics.
1162-1167
Electronic Edition (Springer LINK) BibTeX
- Seungjin Choi:
Adaptive Differential Decorrelation: A Natural Gradient Algorithm.
1168-1173
Electronic Edition (Springer LINK) BibTeX
- Carmen Peláez-Moreno, Emilio Parrado-Hernández, Ascensión Gallardo-Antolín, Adrián Zambrano-Miranda, Fernando Díaz-de-María:
An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services.
1174-1179
Electronic Edition (Springer LINK) BibTeX
- Jens R. Otterpohl:
Baum-Welch Learning in Discrete Hidden Markov Models with Linear Factorial Constraints.
1180-1185
Electronic Edition (Springer LINK) BibTeX
- Alberto Suárez:
Mixtures of Autoregressive Models for Financial Risk Analysis.
1186-1194
Electronic Edition (Springer LINK) BibTeX
Vision and Image Processing
- Annalisa Barla, Francesca Odone:
Kernel-Based 3D Object Representation.
1195-1200
Electronic Edition (Springer LINK) BibTeX
- Souheila Ghennam, Khier Benmahammed:
Multiresolution Support for Adaptive Image Restoration Using Neural Networks.
1201-1206
Electronic Edition (Springer LINK) BibTeX
- Renaud Séguier, David Mercier:
Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons.
1207-1212
Electronic Edition (Springer LINK) BibTeX
- Antonio Turiel, Jean-Pierre Nadal, Néstor Parga:
An Algorithm for Image Representation as Independent Levels of Resolution.
1213-1218
Electronic Edition (Springer LINK) BibTeX
- Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx, Elena Vicario:
Circular Back-Propagation Networks for Measuring Displayed Image Quality.
1219-1224
Electronic Edition (Springer LINK) BibTeX
- Heiko Wersing, Edgar Körner:
Unsupervised Learning of Combination Features for Hierarchical Recognition Models.
1225-1230
Electronic Edition (Springer LINK) BibTeX
- Igor N. Aizenberg, Taras Bregin, Constantine Butakoff, Victor N. Karnaukhov, Nickolay S. Merzlyakov, Olga Milukova:
Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration.
1231-1236
Electronic Edition (Springer LINK) BibTeX
- Gerriet Backer, Bärbel Mertsching:
Using Neural Field Dynamics in the Context of Attentional Control.
1237-1242
Electronic Edition (Springer LINK) BibTeX
- Jens Teichert, Rainer Malaka:
A Component Association Architecture for Image Understanding.
1243-1248
Electronic Edition (Springer LINK) BibTeX
- Jonathan Owens, Andrew Hunter, Eric Fletcher:
Novelty Detection in Video Surveillance Using Hierarchical Neural Networks.
1249-1254
Electronic Edition (Springer LINK) BibTeX
- Wolfgang Stürzl, Ulrich Hoffmann, Hanspeter A. Mallot:
Vergence Control and Disparity Estimation with Energy Neurons: Theory and Implementation.
1255-1260
Electronic Edition (Springer LINK) BibTeX
- Niklas Lüdtke, Richard C. Wilson, Edwin R. Hancock:
Population Coding of Multiple Edge Orientation.
1261-1267
Electronic Edition (Springer LINK) BibTeX
- Cyrill Planta, Jörg Conradt, Adrian Jencik, Paul F. M. J. Verschure:
A Neural Model of the Fly Visual System Applied to Navigational Tasks.
1268-1274
Electronic Edition (Springer LINK) BibTeX
- Masao Shimomura, Shunji Satoh, Shogo Miyake, Hirotomo Aso:
A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention.
1275-1280
Electronic Edition (Springer LINK) BibTeX
- Anna Ceguerra, Irena Koprinska:
Automatic Fingerprint Verification Using Neural Networks.
1281-1286
Electronic Edition (Springer LINK) BibTeX
- Shutao Li, James T. Kwok, Yaonan Wang:
Fusing Images with Multiple Focuses Using Support Vector Machines.
1287-1292
Electronic Edition (Springer LINK) BibTeX
- Arne Heittmann, Ulrich Ramacher, Daniel Matolin, Jörg Schreiter, René Schüffny:
An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection Weights.
1293-1298
Electronic Edition (Springer LINK) BibTeX
- Christophe Foucher, Daniel Le Guennec, Gilles Vaucher:
Kohonen Maps Applied to Fast Image Vector Quantization.
1299-1304
Electronic Edition (Springer LINK) BibTeX
- Giuseppe Acciani, Ernesto Chiarantoni, Daniela Girimonte, Cataldo Guaragnella:
Unsupervised - Neural Network Approach for Efficient Video Description.
1305-1311
Electronic Edition (Springer LINK) BibTeX
- Klimis S. Ntalianis, Nikolaos D. Doulamis, Anastasios D. Doulamis, Stefanos D. Kollias:
Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference Sequences.
1312-1318
Electronic Edition (Springer LINK) BibTeX
- Sven Behnke:
Learning Face Localization Using Hierarchical Recurrent Networks.
1319-1324
Electronic Edition (Springer LINK) BibTeX
- Ian R. Fasel, Javier R. Movellan:
A Comparison of Face Detection Algorithms.
1325-1332
Electronic Edition (Springer LINK) BibTeX
Special Session:
Adaptivity in Neural Computation
Special Session:
Recurrent Neural Systems
Copyright © Sat May 16 23:16:12 2009
by Michael Ley (ley@uni-trier.de)
