Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition
Learning Nonlinear Manifolds from Time Series
Learning Semantic Scene Models by Trajectory Analysis
Learning to Combine Bottom-Up and Top-Down Segmentation
Learning to Detect Objects of Many Classes Using Binary Classifiers
Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
Machine Learning for High-Speed Corner Detection
Maximally Stable Local Description for Scale Selection
Modeling 3D Objects from Stereo Views and Recognizing Them in Photographs
Molding Face Shapes by Example
Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers
Multiclass Image Labeling with Semidefinite Programming
Multivalued Default Logic for Identity Maintenance in Visual Surveillance
Multivariate Relevance Vector Machines for Tracking
Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization
Non Linear Temporal Textures Synthesis: A Monte Carlo Approach