Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images
Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
Learning to Detect Objects of Many Classes Using Binary Classifiers
Robust Multi-view Face Detection Using Error Correcting Output Codes
Face Authentication Using Adapted Local Binary Pattern Histograms
Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion
Performance Evaluation of Object Detection and Tracking in Video
Template-Based Hand Pose Recognition Using Multiple Cues