Anastasios N Venetsanopoulos

Latest

• A survey of multilinear subspace learning for tensor data
• Regularized common spatial pattern with aggregation for EEG classification in small-sample setting
• Uncorrelated multilinear principal component analysis for unsupervised multilinear subspace learning
• Boosting discriminant learners for gait recognition using MPCA features
• Regularized common spatial patterns with generic learning for EEG signal classification
• A taxonomy of emerging multilinear discriminant analysis solutions for biometric signal recognition
• Uncorrelated multilinear discriminant analysis with regularization and aggregation for tensor object recognition
• Uncorrelated multilinear principal component analysis through successive variance maximization
• A full-body layered deformable model for automatic model-based gait recognition
• MPCA: Multilinear principal component analysis of tensor objects
• Multilinear principal component analysis of tensor objects for recognition
• Coarse-to-fine pedestrian localization and silhouette extraction for the gait challenge data sets
• A layered deformable model for gait analysis