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1. Electronic Editor: Automatic Content-based Sequential Compilation of Newspaper Articles
2. Mixture Density from Autonomous Experts
3. An Automated Report Generation Tool for the Data Understanding Phase
4. Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem
5. Thematic Indexing of Spoken Documents by Using Self-Organizing Maps
6. Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus
7. Influence of Erroneous Learning Samples on Adaptation in On-Line Handwriting Recognition
8. State Management for Process Monitoring, Diagnostics and Optimization
9. MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System
10. Analysis and Visualization of Gene Expression Data Using Self-Organizing Maps
11. An Alternative Approach to Infomax and Independent Component Analysis
12. Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains
13. Learning Metrics for SOM-Based Clustering and Visualization of Yeast Gene Expression Data
14. Clustering Based on Conditional Distributions in an Auxiliary Space
15. Advanced Analysis Methods for 3G Cellular Networks
16. Mobile Radio Access Network Monitoring Using the Self-Organizing Map
17. Text Retrieval Using Self-Organized Document Maps
18. A Novel Temporal Generative Model of Natural Video as an Internal Model in Early Vision
19. Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video
20. An Ensemble Learning Approach to Nonlinear Dynamic Blind Source Separation Using State-Space Models
21. Constructing Graphical Models for Bayesian Ensemble Learning from Simple Building Blocks
22. A Fast Semi-Blind Source Separation Algorithm
23. Two Approaches to Estimation of Overcomplete Independent Component Bases
24. Jammer Mitigation in DS-CDMA Array Systems Using Independent Component Analysis
25. An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
26. Suppression of Bit-Pulsed Jammer Signals in a DS-CDMA Array Systems Using Independent Component Analysis
27. ICA-RAKE-Switch for Jammer Cancellation in DS-CDMA Array Systems
28. Jammer Cancellation in DS-CDMA Array Systems: Pre and Post Switching of ICA and RAKE
29. Keynote Talk: Independent Component Analysis: Recent Advances
30. Modeling of Automatic Capture and Focusing of Visual Attention
31. How to Make Large Self-Organizing Maps for Nonvectorial Data
32. Speeding Up Cyclic Update Schemes by Pattern Searches
33. A Classifier Based on the Fuzzy Similarity in the Lukasiewicz Structure with Different Metrics
34. Focused Crawling Using Fictitious Play
35. Applying Decision Analysis Method in a Special Accident Management Process Control Problem
36. ICA and SOM in Text Document Analysis
37. Topics in 0-1 Data
38. Word Sense Disambiguation in Document Space
39. Two-Level Phoneme Recognition Based on Successive Use of Monophone and Diphone Models
40. Speech Modeling Using Variational Bayesian Mixture of Gaussians
41. Distance Matrix Based Clustering of the Self-Organizing Map
42. Image Analysis for Detecting Faulty Spots from Microarray Images
43. Data Analysis of Conceptual Similarities of Finnish Verbs
44. Unsupervised Discovery of Morphemes
45. Model-independent Bounding of the Supports of Boolean Formulae in Binary Data
46. Expression of Myeloid-Specific Genes in Childhood Acute Lymphoblastic Leukemia -- a cDNA Array Study
47. Residuals Generation and Visualization for Understanding Novel Process Conditions
48. An Automated Report Generation Tool for the Data Understanding Phase
49. Identification of Differentially Expressed Genes in Pulmonary Adenocarcinoma by Using a cDNA Array
50. Long-Range Control of Expression in Yeast
51. Nonnegative Matrix Factorization on Gene Expression Data
52. Activity Bubbles and Natural Image Sequences
53. Topography as a Property of the Natural Sensory World
54. Estimating Overcomplete Independent Component Bases from Image Windows
55. Non-Negative Sparse Coding
56. Sparse Coding of Natural Contours
57. A Multi-Layer Sparse Coding Network Learns Contour Coding from Natural Images
58. Bayesian Learning of Logical Hidden Markov Models
59. Towards Discovering Structural Signatures of Protein Folds based on Logical Hidden Markov Models (Extended abstract)
60. Logical Hidden Markov Models (Extended Abstract)
61. Learning Metrics
62. Discriminative Clustering: Optimal Contingency Tables by Learning Metrics
63. Learning More Accurate Metrics for Self-Organizing Maps
64. Discriminative Clustering of Text Documents
65. Selecting the Variables that Train a Self-Organizing Map (SOM) which Best Separates Predefined Clusters
66. PicSOM - Self-Organizing Image Retrieval with MPEG-7 Content Descriptions
67. Statistical Shape Features for Content-Based Image Retrieval
68. Finding Hidden Factors Using Independent Component Analysis
69. Independent Component Analysis
70. Convergence of the Symmetrical FastICA Algorithm
71. Unsupervised Learning in Neural Computation
72. Regularized Discriminative Clustering
73. Mercer Kernel-Based Clustering in Feature Space
74. Evaluating SOM as an Index in Content-Based Image Retrieval
75. Defect Image Classification with MPEG-7 Descriptors
76. Content-Based Image Retrieval in Surface Inspection
77. Content-Based Retrieval of Defect Images
78. Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps
79. Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps
80. Sleep Fragmentation in Mentally Retarded People Decreases with Increasing Daylength in Spring
81. Browsing an Electronic Mail-Order Catalogue with PicSOM Content-Based Image Retrieval System
82. Class-Confidence Critic Combining
83. Finding the Variables of Interest
84. A Comparison of Techniques for Automatic Clustering of Handwritten Characters
85. Clustering Writing Styles with a Self-Organizing Map
86. Proceedings of the Second SIAM International Conference on Data Mining, SIAM 2002
87. ECML 2002 - 12th European Conference on Machine Learning, LNCS 2430
88. Principles of Data Mining and Knowledge Discovery - 6th European Conference, PKDD 2002, LNCS 2431
89. Genome Segmentation using Piecewise Constant Intensity Models and Reversible Jump MCMC
90. Emerging Scientific Applications in Data Mining
91. Global and Local Methods in Data Mining: Basic Techniques and Open Problems
92. OSSM: A Segmentation Approach to Optimize Frequency Counting
93. A Theory of Inductive Query Answering
94. Accurate Self-Organizing Maps in Learning Metrics
95. Learning Metrics for Visualizing Gene Functional Similarities
96. STeP 2002 - Intelligence, the Art of Natural and Artificial.Proceedings of the 10th Finnish Artificial Intelligence Conference, Oulu, Finland, Sept. 15-17
97. Neljännesvuosisata Hatutusta: Hahmontunnistustutkimus Suomessa 1977-2002
98. An Efficiently Focusing Large Vocabulary Language Model
99. Language Model Adaptation in Speech Recognition using Document Maps
100. Äännemallien vertailua jatkuvassa suuren sanaston puheentunnistuksessa
101. Puheentunnistus
102. Topic Identification in Natural Language Dialogues Using Neural Networks
103. Adaptive Dialogue Systems - Interaction with Interact
104. Association Analysis for Quantitative Traits by Data Mining: QHPM
105. Blind Signal Separation and Independent Component Analysis
106. Imposing Sparsity on the Mixing Matrix in Independent Component Analysis
107. Latent Variable Models for the Topographic Organisation of Discrete and Strictly Positive Data
108. Investigatory and Analytical Approaches to Differential Gene Expression Profiling in Mantle Cell Lymphoma
109. An MDL Method for Finding Haplotype Blocks and for Estimating the Strength of Haplotype Block Boundaries