2008 | ||
---|---|---|
65 | EE | Marcin Blachnik, Jorma Laaksonen: Image Classification by Histogram Features Created with Learning Vector Quantization. ICANN (1) 2008: 827-836 |
64 | EE | Ville Viitaniemi, Jorma Laaksonen: Experiments on Selection of Codebooks for Local Image Feature Histograms. VISUAL 2008: 126-137 |
63 | EE | Ville Viitaniemi, Jorma Laaksonen: Techniques for Image Classification, Object Detection and Object Segmentation. VISUAL 2008: 231-234 |
62 | EE | Zhirong Yang, Jorma Laaksonen: Principal whitened gradient for information geometry. Neural Networks 21(2-3): 232-240 (2008) |
2007 | ||
61 | EE | Ramunas Girdziusas, Jorma Laaksonen: How Marginal Likelihood Inference Unifies Entropy, Correlation and SNR-Based Stopping in Nonlinear Diffusion Scale-Spaces. ACCV (1) 2007: 811-820 |
60 | EE | Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu: Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF 2007: 445-471 |
59 | EE | Zhirong Yang, Jorma Laaksonen: Face Recognition Using Parzenfaces. ICANN (2) 2007: 200-209 |
58 | EE | Ramunas Girdziusas, Jorma Laaksonen: When is a Discrete Diffusion a Scale-Space? ICCV 2007: 1-6 |
57 | EE | Zhirong Yang, Jorma Laaksonen: Approximated Geodesic Updates with Principal Natural Gradients. IJCNN 2007: 1320-1325 |
56 | EE | Ville Viitaniemi, Jorma Laaksonen: Improving the Accuracy of Global Feature Fusion Based Image Categorisation. SAMT 2007: 1-14 |
55 | EE | Zhirong Yang, Jorma Laaksonen: Regularized Neighborhood Component Analysis. SCIA 2007: 253-262 |
54 | EE | Hannes Muurinen, Jorma Laaksonen: Video Segmentation and Shot Boundary Detection Using Self-Organizing Maps. SCIA 2007: 770-779 |
53 | EE | Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi, Hannes Muurinen: Rushes summarization with self-organizing maps. TVS 2007: 45-49 |
52 | EE | Ville Viitaniemi, Jorma Laaksonen: Empirical Investigations on Benchmark Tasks for Automatic Image Annotation. VISUAL 2007: 93-104 |
51 | EE | Markus Koskela, Alan F. Smeaton, Jorma Laaksonen: Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations. IEEE Transactions on Multimedia 9(5): 912-922 (2007) |
50 | EE | Zhirong Yang, Zhijian Yuan, Jorma Laaksonen: Projective Non-Negative Matrix Factorization with Applications to Facial Image Processing. IJPRAI 21(8): 1353-1362 (2007) |
49 | EE | Zhirong Yang, Jorma Laaksonen: Multiplicative updates for non-negative projections. Neurocomputing 71(1-3): 363-373 (2007) |
48 | EE | Matti Aksela, Jorma Laaksonen: Adaptive combination of adaptive classifiers for handwritten character recognition. Pattern Recognition Letters 28(1): 136-143 (2007) |
2006 | ||
47 | EE | Markus Koskela, Jorma Laaksonen: Semantic Concept Detection from News Videos with Self-Organizing Maps. AIAI 2006: 591-599 |
46 | EE | Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Timo Honkela: Analysis of Semantic Information Available in an Image Collection Augmented with Auxiliary Data. AIAI 2006: 600-608 |
45 | EE | Zhirong Yang, Jorma Laaksonen: A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction. ICANN (2) 2006: 330-339 |
44 | EE | Ville Viitaniemi, Jorma Laaksonen: Techniques for Still Image Scene Classification and Object Detection. ICANN (2) 2006: 35-44 |
43 | EE | Mats Sjöberg, Jorma Laaksonen, Matti Pöllä, Timo Honkela: Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors. ICANN (2) 2006: 75-83 |
42 | EE | Ville Viitaniemi, Jorma Laaksonen: Use of Image Regions in Context-Adaptive Image Classification. SAMT 2006: 169-183 |
41 | EE | Matti Aksela, Jorma Laaksonen: Using diversity of errors for selecting members of a committee classifier. Pattern Recognition 39(4): 608-623 (2006) |
2005 | ||
40 | EE | Markus Koskela, Jorma Laaksonen: Semantic Annotation of Image Groups with Self-organizing Maps. CIVR 2005: 518-527 |
39 | EE | Ramunas Girdziusas, Jorma Laaksonen: Optimal Stopping and Constraints for Diffusion Models of Signals with Discontinuities. ECML 2005: 576-583 |
38 | EE | Ramunas Girdziusas, Jorma Laaksonen: Jacobi Alternative to Bayesian Evidence Maximization in Diffusion Filtering. ICANN (2) 2005: 247-252 |
37 | EE | Mats Sjöberg, Jorma Laaksonen: Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps. ICANN (2) 2005: 841-846 |
36 | EE | Ramunas Girdziusas, Jorma Laaksonen: Use of Input Deformations with Brownian Motion Filters for Discontinuous Regression. ICAPR (1) 2005: 219-228 |
35 | EE | Matti Aksela, Jorma Laaksonen: On Adaptive Confidences for Critic-Driven Classifier Combining. ICAPR (1) 2005: 71-80 |
34 | EE | Zhirong Yang, Jorma Laaksonen: Partial Relevance in Interactive Facial Image Retrieval. ICAPR (2) 2005: 216-225 |
33 | EE | Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc J. Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang: The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 |
32 | EE | Zhirong Yang, Jorma Laaksonen: Interactive Retrieval in Facial Image Database Using Self-Organizing Maps. MVA 2005: 112-115 |
31 | EE | Ramunas Girdziusas, Jorma Laaksonen: Optimal Ratio of Lamé Moduli with Application to Motion of Jupiter Storms. SCIA 2005: 1096-1106 |
30 | EE | Zhirong Yang, Jorma Laaksonen: Approximated Classification in Interactive Facial Image Retrieval. SCIA 2005: 770-779 |
2004 | ||
29 | EE | Timo Ojala, Markus Koskela, Esa Matinmikko, Mika Rautiainen, Jorma Laaksonen, Erkki Oja: Task-Based User Evaluation of Content-Based Image Database Browsing Systems. CIVR 2004: 234-242 |
28 | EE | Markus Koskela, Jorma Laaksonen, Erkki Oja: Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. CIVR 2004: 508-516 |
27 | EE | Ramunas Girdziusas, Jorma Laaksonen: Gaussian Process Regression with Fluid Hyperpriors. ICONIP 2004: 567-572 |
26 | EE | Markus Koskela, Jorma Laaksonen, Erkki Oja: Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval. ICPR (2) 2004: 1005-1009 |
25 | EE | Jorma Laaksonen, Markus Koskela, Erkki Oja: Class distributions on SOM surfaces for feature extraction and object retrieval. Neural Networks 17(8-9): 1121-1133 (2004) |
2003 | ||
24 | EE | Mika Rummukainen, Jorma Laaksonen, Markus Koskela: An Efficiency Comparison of Two Content-Based Image Retrieval Systems, GIFT and PicSOM. CIVR 2003: 500-509 |
23 | Markus Koskela, Jorma Laaksonen: Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval. PRIS 2003: 72-79 | |
22 | EE | Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi: Using Image Segments in PicSOM CBIR System. SCIA 2003: 1106-1113 |
21 | EE | Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas: Methods for adaptive combination of classifiers with application to recognition of handwritten characters. IJDAR 6(1): 23-41 (2003) |
2002 | ||
20 | EE | Markus Koskela, Jorma Laaksonen, Erkki Oja: Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. ICANN 2002: 981-986 |
19 | EE | Markus Koskela, Jorma Laaksonen, Erkki Oja: Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. ICPR (2) 2002: 1049-1052 |
18 | EE | Vuokko Vuori, Jorma Laaksonen: A Comparison of Techniques for Automatic Clustering of Handwritten Characters. ICPR (3) 2002: 168-171 |
17 | EE | Markus Koskela, Jorma Laaksonen, Erkki Oja: MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. VISUAL 2002: 247-258 |
16 | EE | Vuokko Vuori, Jorma Laaksonen, Jari Kangas: Influence of erroneous learning samples on adaptation in on-line handwriting recognition. Pattern Recognition 35(4): 915-925 (2002) |
2001 | ||
15 | EE | Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas: Application of Adaptive Committee Classifiers in On-Line Character Recognition. ICAPR 2001: 270-279 |
14 | EE | Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. ICDAR 2001: 501- |
13 | EE | Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas: Rejection Methods for an Adaptive Committee Classifier. ICDAR 2001: 982-986 |
12 | EE | Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters. IJDAR 3(3): 150-159 (2001) |
11 | EE | Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja: Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval. Pattern Anal. Appl. 4(2-3): 140-152 (2001) |
2000 | ||
10 | EE | Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. ICPR 2000: 2331-2334 |
9 | EE | Sami S. Brandt, Jorma Laaksonen, Erkki Oja: Statistical Shape Features in Content-Based Image Retrieval. ICPR 2000: 6062-6066 |
8 | EE | Markus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja: Evaluating the Performance of Content-Based Image Retrieval Systems. VISUAL 2000: 430-441 |
7 | EE | Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja: PicSOM - content-based image retrieval with self-organizing maps. Pattern Recognition Letters 21(13-14): 1199-1207 (2000) |
1999 | ||
6 | EE | Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. ICDAR 1999: 792-795 |
5 | EE | Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas: Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters. ICDAR 1999: 796-799 |
4 | EE | Jorma Laaksonen, Markus Koskela, Erkki Oja: Content-Based Image Retrieval Using Self-Organizing Maps. VISUAL 1999: 541-548 |
1998 | ||
3 | Jorma Laaksonen, Erkki Oja: Learning Subspace Classifiers and Error-Corrective Feature Extraction. IJPRAI 12(4): 423-436 (1998) | |
1997 | ||
2 | Jorma Laaksonen: Local Subspace Classifier. ICANN 1997: 637-642 | |
1996 | ||
1 | Jorma Laaksonen, Erkki Oja: Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. ICANN 1996: 227-232 |