18. ICANN 2008:
Prague,
Czech Republic
Vera Kurková, Roman Neruda, Jan Koutník (Eds.):
Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I.
Lecture Notes in Computer Science 5163 Springer 2008, ISBN 978-3-540-87535-2 BibTeX
Mathematical Theory of Neurocomputing
- Shotaro Akaho:
Dimension Reduction for Mixtures of Exponential Families.
1-10
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- Bartlomiej Beliczynski, Bernardete Ribeiro:
Several Enhancements to Hermite-Based Approximation of One-Variable Functions.
11-20
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- Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Multi-category Bayesian Decision by Neural Networks.
21-30
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- Paul C. Kainen, Vera Kurková:
Estimates of Network Complexity and Integral Representations.
31-40
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- Sascha Klement, Amir Madany Mamlouk, Thomas Martinetz:
Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios.
41-50
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- Yu Nishiyama, Sumio Watanabe:
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy.
51-60
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- Yutaka Shimada, Takayuki Kimura, Tohru Ikeguchi:
Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory.
61-70
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- Martin Schüle, Thomas Ott, Ruedi Stoop:
Global Dynamics of Finite Cellular Automata.
71-78
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Learning Algorithms
- Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm:
Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training.
79-88
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- Jiaoyan Ai, Brian V. Funt, Lilong Shi:
A New Type of ART2 Architecture and Application to Color Image Segmentation.
89-98
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- Bruno Apolloni, Simone Bassis, Andrea Brega:
BICA: A Boolean Indepenedent Component Analysis Approach.
99-108
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- Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito:
Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization.
109-118
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- Wei-Chen Cheng, Cheng-Yuan Liou:
Manifold Construction Using the Multilayer Perceptron.
119-127
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- Cezary Dendek, Jacek Mandziuk:
Improving Performance of a Binary Classifier by Training Set Selection.
128-135
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- Yoshitatsu Matsuda, Kazunori Yamaguchi:
An Overcomplete ICA Algorithm by InfoMax and InfoMin.
136-144
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- Yoan Miche, Antti Sorjamaa, Amaury Lendasse:
OP-ELM: Theory, Experiments and a Toolbox.
145-154
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- Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Robust Nonparametric Probability Density Estimation by Soft Clustering.
155-164
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- Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley:
Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis.
165-174
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- Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens:
Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation.
175-184
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- Luís M. Silva, Mark Embrechts, Jorge M. Santos, Joaquim Marques de Sá:
The Influence of the Risk Functional in Data Classification with MLPs.
185-194
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- Stelios Timotheou:
Nonnegative Least Squares Learning for the Random Neural Network.
195-204
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Kernel Methods,
Statistical Learning,
and Ensemble Techniques
- Daniel Hernández-Lobato:
Sparse Bayes Machines for Binary Classification.
205-214
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- Katerina Hlavácková-Schindler:
Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution.
215-224
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- Peter Lacko, Vladimir Kvasnicka:
Mixture of Expert Used to Learn Game Play.
225-234
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- Daniel Oberhoff, Marina Kolesnik:
Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences.
235-244
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- Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr.:
Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods.
245-254
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- Ke Sun, Lei Xu:
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis.
255-264
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- Shikui Tu, Lei Shi, Lei Xu:
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis.
265-274
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- Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set.
275-284
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- Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
New Results on Combination Methods for Boosting Ensembles.
285-294
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Support Vector Machines
Reinforcement Learning
- Marek Grzes, Daniel Kudenko:
Multigrid Reinforcement Learning with Reward Shaping.
357-366
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- Yu Hiei, Takeshi Mori, Shin Ishii:
Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments.
367-376
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- Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya:
Robust Population Coding in Free-Energy-Based Reinforcement Learning.
377-386
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- Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber:
Policy Gradients with Parameter-Based Exploration for Control.
387-396
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- Yuki Taniguchi, Takeshi Mori, Shin Ishii:
A Continuous Internal-State Controller for Partially Observable Markov Decision Processes.
397-406
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- Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber:
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.
407-416
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- Jernej Zupanc:
Error-Entropy Minimization for Dynamical Systems Modeling.
417-425
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Evolutionary Computing
- Zdenek Buk, Miroslav Snorek:
Hybrid Evolution of Heterogeneous Neural Networks.
426-434
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- Oleg Kovárík, Miroslav Skrbek:
Ant Colony Optimization with Castes.
435-442
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- David Lahoz, Pedro Mateo:
Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms.
443-451
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- Daniel Novák, Ales Pilný, Pavel Kordík, Stefan Holiga, Petr Posík, R. Cerný, Richard Brzezny:
Analysis of Vestibular-Ocular Reflex by Evolutionary Framework.
452-461
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- Tomás Siegl, Pavel Kordík, Miroslav Snorek, Pavel Calda:
Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?.
462-471
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- Hong Zhang, Masumi Ishikawa:
Evolutionary Canonical Particle Swarm Optimizer - A Proposal of Meta-optimization in Model Selection.
472-481
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Hybrid Systems
- Marcin Blachnik, Wlodzislaw Duch:
Building Localized Basis Function Networks Using Context Dependent Clustering.
482-491
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- Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis, Stefanos D. Kollias:
Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics.
492-502
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- Boguslaw Cyganek:
Neuro-fuzzy System for Road Signs Recognition.
503-512
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- Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin:
Neuro-inspired Speech Recognition with Recurrent Spiking Neurons.
513-522
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- Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors.
523-532
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- Petr Hájek, Vladimír Olej:
Municipal Creditworthiness Modelling by Kohonen's Self-Organizing Feature Maps and Fuzzy Logic Neural Networks.
533-542
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- Roman Neruda, Václav Snásel, Jan Platos, Pavel Krömer, Dusan Húsek, Alexander A. Frolov:
Implementing Boolean Matrix Factorization.
543-552
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- Vladimir Kryzhanovsky, Boris Kryzhanovsky, Anatoly B. Fonarev:
Application of Potts-Model Perceptron for Binary Patterns Identification.
553-561
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- Araken de Medeiros Santos, Anne Magaly de Paula Canuto:
Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting.
562-571
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Self-organization
- Banchar Arnonkijpanich, Barbara Hammer, Alexander Hasenfuss, Chidchanok Lursinsap:
Matrix Learning for Topographic Neural Maps.
572-582
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- Antonino Fiannaca, Giuseppe Di Fatta, Salvatore Gaglio, Riccardo Rizzo, Alfonso Urso:
Clustering Quality and Topology Preservation in Fast Learning SOMs.
583-592
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- Claudius Gläser, Frank Joublin, Christian Goerick:
Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization.
593-602
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- Timo Honkela, Sami Virpioja, Jaakko Väyrynen:
Adaptive Translation: Finding Interlingual Mappings Using Self-Organizing Maps.
603-612
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- Hirotaka Inoue:
Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees.
613-622
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- Hideyuki Kato, Tohru Ikeguchi:
Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity.
623-631
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- Jan Koutník, Miroslav Snorek:
Temporal Hebbian Self-Organizing Map for Sequences.
632-641
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- Iván Machón González, Hilario López García:
FLSOM with Different Rates for Classification in Imbalanced Datasets.
642-651
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- Lucia Maddalena, Alfredo Petrosino:
A Self-organizing Neural System for Background and Foreground Modeling.
652-661
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- Víctor Mireles, Antonio Neme:
Analyzing the Behavior of the SOM through Wavelet Decomposition of Time Series Generated during Its Execution.
662-670
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- Antonio Neme, Elizabeth Chavez, Alejandra Cervera, Víctor Mireles:
Decreasing Neighborhood Revisited in Self-Organizing Maps.
671-679
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- Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A New GHSOM Model Applied to Network Security.
680-689
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- Matús Uzák, Rudolf Jaksa, Peter Sincak:
Reduction of Visual Information in Neural Network Learning Visualization.
690-699
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Control and Robotics
- Péter Gasztonyi, István Harmati:
Heuristiscs-Based High-Level Strategy for Multi-agent Systems.
700-709
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- Sven Hellbach, Sören Strauss, Julian Eggert, Edgar Körner, Horst-Michael Gross:
Echo State Networks for Online Prediction of Movement Data - Comparing Investigations.
710-719
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- Stanislav Slusny, Roman Neruda, Petra Vidnerová:
Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem.
720-729
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- Johane Takeuchi, Osamu Shouno, Hiroshi Tsujino:
Modular Neural Networks for Model-Free Behavioral Learning.
730-739
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- Cornelius Weber, Jochen Triesch:
From Exploration to Planning.
740-749
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Signal and Time Series Processing
- Theologos Athanaselis, Stelios Bakamidis, Konstantinos Mamouras, Ioannis Dologlou:
Sentence-Level Evaluation Using Co-occurences of N-Grams.
750-758
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- Pau Bofill:
Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation.
759-767
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- Miroslav Cepek, Miroslav Snorek, Václav Chudácek:
ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers.
768-777
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- Michal Cernanský, Peter Tiño:
Predictive Modeling with Echo State Networks.
778-787
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- Kai Labusch, Erhardt Barth, Thomas Martinetz:
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources.
788-797
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- Rashidi Khazaee Parviz, Nasser Mozayani, Mohammad-Reza Jahed Motlagh:
Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction.
798-807
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- Francis Wyffels, Benjamin Schrauwen, Dirk Stroobandt:
Stable Output Feedback in Reservoir Computing Using Ridge Regression.
808-817
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Image Processing
- Mohamed Berkane, Patrick Clarysse, Isabelle E. Magnin:
Spatio-temporal Summarizing Method of Periodic Image Sequences with Kohonen Maps.
818-826
Electronic Edition (link) BibTeX
- Marcin Blachnik, Jorma Laaksonen:
Image Classification by Histogram Features Created with Learning Vector Quantization.
827-836
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- Nizar Bouguila, Walid ElGuebaly:
A Statistical Model for Histogram Refinement.
837-846
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- Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos:
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach.
847-856
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- David Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou:
Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes.
857-866
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- Benedikt Kaiser, Gunther Heidemann:
A Spatio-temporal Extension of the SUSAN-Filter.
867-876
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- Rafael Marcos Luque Baena, Enrique Domínguez, Domingo López-Rodríguez, Esteban J. Palomo:
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection.
877-886
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- Marco Mora Cofré, Ruben Valenzuela, Girma Berhe:
A Hierarchic Method for Footprint Segmentation Based on SOM.
887-896
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- Judith Redi, Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx:
Co-occurrence Matrixes for the Quality Assessment of Coded Images.
897-906
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- Nikos Simou, Thanos Athanasiadis, Stefanos D. Kollias, Giorgos B. Stamou, Andreas Stafylopatis:
Semantic Adaptation of Neural Network Classifiers in Image Segmentation.
907-916
Electronic Edition (link) BibTeX
- Marina Velikova, Hennie Daniels, Maurice Samulski:
Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms.
917-926
Electronic Edition (link) BibTeX
Image Processing - Recognition Systems
- Stylianos Asteriadis, Kostas Karpouzis, Stefanos D. Kollias:
A Neuro-fuzzy Approach to User Attention Recognition.
927-936
Electronic Edition (link) BibTeX
- Thomas Bangert:
TriangleVision: A Toy Visual System.
937-950
Electronic Edition (link) BibTeX
- Alberto Ferreira de Souza, Claudine Badue, Felipe Pedroni, Elias Oliveira, Stiven Schwanz Dias, Hallysson Oliveira, Sotério Ferreira de Souza:
Face Recognition with VG-RAM Weightless Neural Networks.
951-960
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- Mathias Franzius, Niko Wilbert, Laurenz Wiskott:
Invariant Object Recognition with Slow Feature Analysis.
961-970
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- Vinod Nair, Josh Susskind, Geoffrey E. Hinton:
Analysis-by-Synthesis by Learning to Invert Generative Black Boxes.
971-981
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- Pedro L. Sánchez Orellana, Claudio Castellanos Sánchez:
A Bio-inspired Connectionist Architecture for Visual Classification of Moving Objects.
982-990
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- Yasuomi D. Sato, Jenia Jitsev, Christoph von der Malsburg:
A Visual Object Recognition System Invariant to Scale and Rotation.
991-1000
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- Aruna Shenoy, Tim M. Gale, Neil Davey, Bruce Christianson, Ray J. Frank:
Recognizing Facial Expressions: A Comparison of Computational Approaches.
1001-1010
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- Daniel Weiler, Volker Willert, Julian Eggert:
A Probabilistic Prediction Method for Object Contour Tracking.
1011-1020
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:16:14 2009
by Michael Ley (ley@uni-trier.de)