模式识别及支持向量机

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
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
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Author Index