1. SVM 2002: Niagara Falls, Canada

@proceedings{DBLP:conf/svm/2002,
  editor    = {Seong-Whan Lee and
               Alessandro Verri},
  title     = {Pattern Recognition with Support Vector Machines, First International
               Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002, Proceedings},
  booktitle = {SVM},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2388},
  year      = {2002},
  isbn      = {3-540-44016-X},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Invited Papers

• Neelanjan Mukherjee, Sayan Mukherjee:
  Predicting Signal Peptides with Support Vector Machines. 1-7
  
• Ronan Collobert, Yoshua Bengio, Samy Bengio:
  Scaling Large Learning Problems with Hard Parallel Mixtures. 8-23
  

Computational Issues

• Pablo Navarrete, Javier Ruiz-del-Solar:
  On the Generalization of Kernel Machines. 24-39
  
• David M. J. Tax, Piotr Juszczak:
  Kernel Whitening for One-Class Classification. 40-52
  
• Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen:
  A Fast SVM Training Algorithm. 53-67
  
• Giorgio Fumera, Fabio Roli:
  Support Vector Machines with Embedded Reject Option. 68-82
  

Object Recognition

• Annalisa Barla, Emanuele Franceschi, Francesca Odone, Alessandro Verri:
  Image Kernels. 83-96
  
• Barbara Caputo, Gyuri Dorkó, Heinrich Niemann:
  Combining Color and Shape Information for Appearance-Based Object Recognition Using Ultrametric Spin Glass-Markov Random Fields. 97-111
  
• Chikahito Nakajima, Massimiliano Pontil:
  Maintenance Training of Electric Power Facilities Using Object Recognition by SVM. 112-119
  
• Roman Genov, Gert Cauwenberghs:
  Kerneltron: Support Vector `Machine' in Silicon. 120-134
  

Pattern Recognition

• Stanley M. Bileschi, Bernd Heisele:
  Advances in Component-Based Face Detection. 135-143
  
• L. Walawalkar, Mohammed Yeasin, Anand M. Narasimhamurthy, Rajeev Sharma:
  Support Vector Learning for Gender Classification Using Audio and Visual Cues: A Comparison. 144-159
  
• Ming-Wei Chang, Chih-Jen Lin, Ruby C. Weng:
  Analysis of Nonstationary Time Series Using Support Vector Machines. 160-170
  
• Chellu Chandra Sekhar, Kazuya Takeda, Fumitada Itakura:
  Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines. 171-185
  

Applications

• Mike Fugate, James R. Gattiker:
  Anomaly Detection Enhanced Classification in Computer Intrusion Detection. 186-197
  
• Mariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Jacek M. Zurada, Andrzej Wróbel:
  Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex. 198-212
  
• Hyeran Byun, Seong-Whan Lee:
  Applications of Support Vector Machines for Pattern Recognition: A Survey. 213-236
  
• Asanobu Kitamoto:
  Typhoon Analysis and Data Mining with Kernel Methods. 237-248
  

Poster Papers

• Fabrizio Smeraldi, Josef Bigün, Wulfram Gerstner:
  Support Vector Features and the Role of Dimensionality in Face Authentication. 249-259
  
• Yong Ma, Xiaoqing Ding:
  Face Detection Based on Cost-Sensitive Support Vector Machines. 260-267
  
• Seonghoon Kang, Hyeran Byun, Seong-Whan Lee:
  Real-Time Pedestrian Detection Using Support Vector Machines. 268-277
  
• Shantanu Chakrabartty, Gert Cauwenberghs:
  Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition. 278-292
  
• Kwang In Kim, Keechul Jung, Jin Hyung Kim:
  Color Texture-Based Object Detection: An Application to License Plate Localization. 293-309
  
• Stefan Rüping:
  Support Vector Machines in Relational Databases. 310-320
  
• Zeyu Li, Shiwei Tang, Shuicheng Yan:
  Multi-Class SVM Classifier Based on Pairwise Coupling. 321-333
  
• Jennifer Huang, Volker Blanz, Bernd Heisele:
  Face Recognition Using Component-Based SVM Classification and Morphable Models. 334-341
  
• Jianmin Li, Bo Zhang, Fuzong Lin:
  A New Cache Replacement Algorithm in SMO. 342-353
  
• Nedjem-Eddine Ayat, Mohamed Cheriet, Ching Y. Suen:
  Optimization of the SVM Kernels Using an Empirical Error Minimization Scheme. 354-369
  
• Dihua Xi, Seong-Whan Lee:
  Face Detection Based on Support Vector Machines. 370-387
  
• Björn Johansson, Fredrik Kahl:
  Detecting Windows in City Scenes. 388-396
  
• Hyun-Chul Kim, Shaoning Pang, Hong-Mo Je, Daijin Kim, Sung Yang Bang:
  Support Vector Machine Ensemble with Bagging. 397-407
  
• Eulanda Miranda dos Santos, Herman Martins Gomes:
  A Comparative Study of Polynomial Kernel SVM Applied to Appearance-Based Object Recognition. 408-418
  

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