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Jorma Laaksonen

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2008
65EEMarcin Blachnik, Jorma Laaksonen: Image Classification by Histogram Features Created with Learning Vector Quantization. ICANN (1) 2008: 827-836
64EEVille Viitaniemi, Jorma Laaksonen: Experiments on Selection of Codebooks for Local Image Feature Histograms. VISUAL 2008: 126-137
63EEVille Viitaniemi, Jorma Laaksonen: Techniques for Image Classification, Object Detection and Object Segmentation. VISUAL 2008: 231-234
62EEZhirong Yang, Jorma Laaksonen: Principal whitened gradient for information geometry. Neural Networks 21(2-3): 232-240 (2008)
2007
61EERamunas Girdziusas, Jorma Laaksonen: How Marginal Likelihood Inference Unifies Entropy, Correlation and SNR-Based Stopping in Nonlinear Diffusion Scale-Spaces. ACCV (1) 2007: 811-820
60EEThomas 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
59EEZhirong Yang, Jorma Laaksonen: Face Recognition Using Parzenfaces. ICANN (2) 2007: 200-209
58EERamunas Girdziusas, Jorma Laaksonen: When is a Discrete Diffusion a Scale-Space? ICCV 2007: 1-6
57EEZhirong Yang, Jorma Laaksonen: Approximated Geodesic Updates with Principal Natural Gradients. IJCNN 2007: 1320-1325
56EEVille Viitaniemi, Jorma Laaksonen: Improving the Accuracy of Global Feature Fusion Based Image Categorisation. SAMT 2007: 1-14
55EEZhirong Yang, Jorma Laaksonen: Regularized Neighborhood Component Analysis. SCIA 2007: 253-262
54EEHannes Muurinen, Jorma Laaksonen: Video Segmentation and Shot Boundary Detection Using Self-Organizing Maps. SCIA 2007: 770-779
53EEMarkus Koskela, Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi, Hannes Muurinen: Rushes summarization with self-organizing maps. TVS 2007: 45-49
52EEVille Viitaniemi, Jorma Laaksonen: Empirical Investigations on Benchmark Tasks for Automatic Image Annotation. VISUAL 2007: 93-104
51EEMarkus Koskela, Alan F. Smeaton, Jorma Laaksonen: Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations. IEEE Transactions on Multimedia 9(5): 912-922 (2007)
50EEZhirong Yang, Zhijian Yuan, Jorma Laaksonen: Projective Non-Negative Matrix Factorization with Applications to Facial Image Processing. IJPRAI 21(8): 1353-1362 (2007)
49EEZhirong Yang, Jorma Laaksonen: Multiplicative updates for non-negative projections. Neurocomputing 71(1-3): 363-373 (2007)
48EEMatti Aksela, Jorma Laaksonen: Adaptive combination of adaptive classifiers for handwritten character recognition. Pattern Recognition Letters 28(1): 136-143 (2007)
2006
47EEMarkus Koskela, Jorma Laaksonen: Semantic Concept Detection from News Videos with Self-Organizing Maps. AIAI 2006: 591-599
46EEMats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Timo Honkela: Analysis of Semantic Information Available in an Image Collection Augmented with Auxiliary Data. AIAI 2006: 600-608
45EEZhirong Yang, Jorma Laaksonen: A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction. ICANN (2) 2006: 330-339
44EEVille Viitaniemi, Jorma Laaksonen: Techniques for Still Image Scene Classification and Object Detection. ICANN (2) 2006: 35-44
43EEMats 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
42EEVille Viitaniemi, Jorma Laaksonen: Use of Image Regions in Context-Adaptive Image Classification. SAMT 2006: 169-183
41EEMatti Aksela, Jorma Laaksonen: Using diversity of errors for selecting members of a committee classifier. Pattern Recognition 39(4): 608-623 (2006)
2005
40EEMarkus Koskela, Jorma Laaksonen: Semantic Annotation of Image Groups with Self-organizing Maps. CIVR 2005: 518-527
39EERamunas Girdziusas, Jorma Laaksonen: Optimal Stopping and Constraints for Diffusion Models of Signals with Discontinuities. ECML 2005: 576-583
38EERamunas Girdziusas, Jorma Laaksonen: Jacobi Alternative to Bayesian Evidence Maximization in Diffusion Filtering. ICANN (2) 2005: 247-252
37EEMats Sjöberg, Jorma Laaksonen: Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps. ICANN (2) 2005: 841-846
36EERamunas Girdziusas, Jorma Laaksonen: Use of Input Deformations with Brownian Motion Filters for Discontinuous Regression. ICAPR (1) 2005: 219-228
35EEMatti Aksela, Jorma Laaksonen: On Adaptive Confidences for Critic-Driven Classifier Combining. ICAPR (1) 2005: 71-80
34EEZhirong Yang, Jorma Laaksonen: Partial Relevance in Interactive Facial Image Retrieval. ICAPR (2) 2005: 216-225
33EEMark 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
32EEZhirong Yang, Jorma Laaksonen: Interactive Retrieval in Facial Image Database Using Self-Organizing Maps. MVA 2005: 112-115
31EERamunas Girdziusas, Jorma Laaksonen: Optimal Ratio of Lamé Moduli with Application to Motion of Jupiter Storms. SCIA 2005: 1096-1106
30EEZhirong Yang, Jorma Laaksonen: Approximated Classification in Interactive Facial Image Retrieval. SCIA 2005: 770-779
2004
29EETimo 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
28EEMarkus Koskela, Jorma Laaksonen, Erkki Oja: Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. CIVR 2004: 508-516
27EERamunas Girdziusas, Jorma Laaksonen: Gaussian Process Regression with Fluid Hyperpriors. ICONIP 2004: 567-572
26EEMarkus 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
25EEJorma 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
24EEMika 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
22EEMats Sjöberg, Jorma Laaksonen, Ville Viitaniemi: Using Image Segments in PicSOM CBIR System. SCIA 2003: 1106-1113
21EEMatti 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
20EEMarkus Koskela, Jorma Laaksonen, Erkki Oja: Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. ICANN 2002: 981-986
19EEMarkus Koskela, Jorma Laaksonen, Erkki Oja: Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. ICPR (2) 2002: 1049-1052
18EEVuokko Vuori, Jorma Laaksonen: A Comparison of Techniques for Automatic Clustering of Handwritten Characters. ICPR (3) 2002: 168-171
17EEMarkus Koskela, Jorma Laaksonen, Erkki Oja: MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. VISUAL 2002: 247-258
16EEVuokko 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
15EEMatti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas: Application of Adaptive Committee Classifiers in On-Line Character Recognition. ICAPR 2001: 270-279
14EEVuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. ICDAR 2001: 501-
13EEMatti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas: Rejection Methods for an Adaptive Committee Classifier. ICDAR 2001: 982-986
12EEVuokko 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)
11EEJorma 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
10EEVuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. ICPR 2000: 2331-2334
9EESami S. Brandt, Jorma Laaksonen, Erkki Oja: Statistical Shape Features in Content-Based Image Retrieval. ICPR 2000: 6062-6066
8EEMarkus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja: Evaluating the Performance of Content-Based Image Retrieval Systems. VISUAL 2000: 430-441
7EEJorma 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
6EEVuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. ICDAR 1999: 792-795
5EEJorma 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
4EEJorma 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

Coauthor Index

1Matti Aksela [5] [13] [15] [21] [35] [41] [48]
2Moray Allan [33]
3Hugo Jair Escalante Balderas [60]
4András A. Benczúr [60]
5Christopher M. Bishop [33]
6Marcin Blachnik [65]
7Sami S. Brandt [9]
8Mátyás Brendel [60]
9Heidy Marisol Marín Castro [60]
10Olivier Chapelle [33]
11Navneet Dalal [33]
12Bálint Daróczy [60]
13Thomas Deselaers [33] [60]
14Gyuri Dorkó [33]
15Stefan Duffner [33]
16Jan Eichhorn [33]
17Mark Everingham [33]
18Jason D. R. Farquhar [33]
19Mario Fritz [33]
20Christophe Garcia [33]
21Theo Gevers [60]
22Ramunas Girdziusas [21] [27] [31] [36] [38] [39] [58] [61]
23Luc J. Van Gool [33]
24Carlos Arturo Hernández Gracidas [60]
25Tom Griffiths [33]
26Allan Hanbury [60]
27Steven C. H. Hoi (Chu-Hong Hoi) [60]
28Timo Honkela [43] [46]
29Frédéric Jurie [33]
30Jari Kangas [5] [6] [10] [12] [13] [14] [15] [16] [21]
31Daniel Keysers [33]
32Markus Koskela [4] [7] [8] [11] [17] [19] [20] [23] [24] [25] [26] [28] [29] [33] [40] [47] [51] [53]
33Sami Laakso [7] [8] [11]
34Diane Larlus [33]
35Bastian Leibe [33]
36Mingjing Li [60]
37Esa Matinmikko [29]
38Hongying Meng [33]
39Hannes Muurinen [53] [54]
40Hermann Ney [33] [60]
41Erkki Oja [1] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [17] [19] [20] [21] [25] [26] [28] [29]
42Timo Ojala [29]
43Matti Pöllä [43]
44Mika Rautiainen [29]
45Xiaoguang Rui [60]
46Mika Rummukainen [24]
47Bernt Schiele [33]
48Cordelia Schmid [33]
49Nicu Sebe [60]
50Edgar Seemann [33]
51John Shawe-Taylor [33]
52Mats Sjöberg [22] [37] [43] [46] [53]
53Alan F. Smeaton [51]
54Amos J. Storkey [33]
55Julian Stöttinger [60]
56Sándor Szedmák [33]
57Bill Triggs [33]
58Ilkay Ulusoy [33]
59Ville Viitaniemi [22] [33] [42] [44] [46] [52] [53] [56] [60] [63] [64]
60Vuokko Vuori [6] [10] [12] [14] [16] [18]
61Christopher K. I. Williams [33]
62Lei Wu [60]
63Zhirong Yang [30] [32] [34] [45] [49] [50] [55] [57] [59] [62]
64Zhijian Yuan [50]
65Jianguo Zhang [33]
66Andrew Zisserman [33]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)