Pattern Recognition with Support Vector Machines [electronic resource] : First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002. Proceedings /

Invited Papers -- Predicting Signal Peptides with Support Vector Machines -- Scaling Large Learning Problems with Hard Parallel Mixtures -- Computational Issues -- On the Generalization of Kernel Machines -- Kernel Whitening for One-Class Classification -- A Fast SVM Training Algorithm -- Support Vector Machines with Embedded Reject Option -- Object Recognition -- Image Kernels -- Combining Color and Shape Information for Appearance-Based Object Recognition Using Ultrametric Spin Glass-Markov Random Fields -- Maintenance Training of Electric Power Facilities Using Object Recognition by SVM -- Kerneltron: Support Vector ‘Machine’ in Silicon -- Pattern Recognition -- Advances in Component-Based Face Detection -- Support Vector Learning for Gender Classification Using Audio and Visual Cues: A Comparison -- Analysis of Nonstationary Time Series Using Support Vector Machines -- Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines -- Applications -- Anomaly Detection Enhanced Classification in Computer Intrusion Detection -- Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat’s Barrel Cortex -- Applications of Support Vector Machines for Pattern Recognition: A Survey -- Typhoon Analysis and Data Mining with Kernel Methods -- Poster Papers -- Support Vector Features and the Role of Dimensionality in Face Authentication -- Face Detection Based on Cost-Sensitive Support Vector Machines -- Real-Time Pedestrian Detection Using Support Vector Machines -- Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition -- Color Texture-Based Object Detection: An Application to License Plate Localization -- Support Vector Machines in Relational Databases -- Multi-ClassSVM Classifier Based on Pairwise Coupling -- Face Recognition Using Component-Based SVM Classification and Morphable Models -- A New Cache Replacement Algorithm in SMO -- Optimization of the SVM Kernels Using an Empirical Error Minimization Scheme -- Face Detection Based on Support Vector Machines -- Detecting Windows in City Scenes -- Support Vector Machine Ensemble with Bagging -- A Comparative Study of Polynomial Kernel SVM Applied to Appearance-Based Object Recognition.