Program

You are invited to participate in an intensive, one-day, single-track workshop on practical applications of  Support Vector Machines for pattern recognition. This workshop aims to facilitate debates on pattern recognition systems based on support vector machines and to provide a chance for the researchers in the area to exchange up-to-date knowledge and experiences. Saturday, August 10, 2002 08:00 ~ 08:10  Opening 08:10 ~ 09:30  Session I: Computational Issues                          C.-J. Lin (National Taiwan University, Taiwan) On the Generalization of Kernel Machines P. Navarrete, J. Ruiz del Solar (University of Chile, Chile) Kernel Whitening for One-class Classification D.M.J. Tax, P. Juszczak (GMD, Germany) A Fast SVM Training Algorithm         J. Dong, A. Krzyżak, C.Y. Suen (Concordia University, Canada) Support Vector Machines with Embedded Reject Option G. Fumera, F. Roli (University of Cagliari, Italy) 09:30 ~ 10:10  Invited Paper I                          S.-W. Lee (Korea University, Korea ) Predicting Signal Peptides with Support Vector Machines N. Mukherjee, S. Mukherjee (MIT, USA) 10:10 ~ 10:40  Coffee Break 10:40 ~ 12:00  Session II: Object Recognition                          B. Heisele (MIT, USA) Image Kernels A. Barla, E. Franceschi, F. Odone, A. Verri (University of Genova, Italy) Combining Color and Shape Information for Appearance-based Object Recognition using Ultrametric Spin Glass-Markov Random Fields B. Caputo, Gy. Dorkó, H. Niemann (Smith-Kettlewell Eye Research Institute, USA) Maintenance Training of Electric Power Facilities using Object Recognition by SVM C. Nakajima, M. Pontil (Central Research Institute of Electric Power Industry, Japan) Kerneltron: Support Vector 'Machine' in Silicon R. Genov, G. Cauwenberghs (Johns Hopkins University, USA) 12:00 ~ 13:00  Lunch 13:00 ~ 14:30  Poster Session Support Vector Features and the Role of Dimensionality in Face Authentication F. Smeraldi, J. Bigun, W. Gerstner (Halmstad University, Sweden) Face Detection Based on Cost-Sensitive Support Vector Machines Y. Ma, X. Ding (Tsinghua University, P.R.China) Real-time Pedestrian Detection using Support Vector Machines S.-H. Kang, H.-R. Byun, S.-W. Lee(Korea University, Korea) Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition S. Chakrabartty, G. Cauwenberghs(Johns Hopkins University, USA) Color Texture-based Object Detection: an Application to License Plate Localization K.I. Kim, K. Jung, J.H. Kim (KAIST, Korea) Support Vector Machines in Relational Databases S. Rüping (University of Dortmund, Germany) Multi-class SVM Classifier Based on Pairwise Coupling Z. Li, S. Tang, S. Yan (Peking University, P.R.China) Face Recognition Using Component-based SVM Classification and Morphable Models J. Huang, V. Blanz, B. Heisele (MIT, USA) A New Cache Replacement Algorithm in SMO J. Li, B. Zhang, F. Lin (Tsinghua University, P.R.China) Optimization of the SVM Kernels using an Empirical Error Minimization Scheme N.E. Ayat, M. Cheriet, C.Y. Suen (Concordia University, Canada) Face Detection Based on Support Vector Machines D. Xi, S.-W. Lee (Korea University, Korea) Detecting Windows in City Scenes B. Johansson, F. Kahl (Lund University, Sweden) Support Vector Machine Ensemble with Bagging H.-C. Kim, S. Pang, H.-M. Je, D. Kim, S.-Y. Bang (Pohang University of Science and Technology, Korea) A Comparative Study of Polynomial Kernel SVM Applied to Appearance-Based Object Recognition E.M. Santos, H.M. Gomes (Universidade Federal da Paraiba, Brazil) 14:30 ~ 15:50  Session III: Pattern Recognition                          G. Cauwenberghs (Johns Hopkins University, USA) Advances in Component-based Face Detection S.M. Bileschi, B. Heisele (MIT, USA) Support Vector Learning for Gender Classification Using Audio and Visual Cues: A Comparison L. Walawalkar, M. Yeasin, A. Narasimhamurthy, R. Sharma (Pennsylvania State University, USA) Analysis of Nonstationary Time Series using Support Vector Machines M.-W. Chang, C.-J. Lin, R.C. Weng (National Taiwan University, Taiwan) Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus using Support Vector Machines C.C. Sekhar, K. Takeda, F. Itakura (Nagoya University, Japan) 15:50 ~ 16:20  Coffee Break 16:20 ~ 17:00  Invited Paper II                          A. Verri (University of Genova, Italy) Scaling Large Learning Problems with Hard Parallel Mixtures R. Collobert, Y. Bengio, S. Bengio (University of Montreal, Canada) 17:00 ~ 18:20  Session IV: Applications                           F. Roli (University of Cagliari, Italy) Anomaly Detection Enhanced Classification in Computer Intrusion Detection M. Fugate, J.R. Gattiker (Los Alamos National Laboratory, USA) Sparse Correlation Kernel Analysis and Evolutionary Algorithm-based Modeling of the Sensory Activity within the Rat's Barrel Cortex M. Milanova, T.G. Smolinski, G.M. Boratyn, J.M. Zurada, A. Wrobel (University of Arkansas, USA) Applications of Support Vector Machines for Pattern Recognition: A Survey H.-R. Byun, S.-W. Lee (Yonsei University, Korea) Typhoon Analysis and Data Mining with Kernel Methods A. Kitamoto (National Institute of Informatics, Japan)

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