1

Learning canonical correlations of paired tensor sets via tensor-to-vector projection
Canonical correlation analysis (CCA) is a useful technique for measuring relationship between two sets of vector data. For paired …
Cite Link PDF
Non-intrusive head movement analysis of videotaped seizures of epileptic origin
In this work we propose a non-intrusive video analytic system for patient’s body parts movement analysis in Epilepsy Monitoring …
Cite Link
Markerless video analysis for movement quantification in pediatric epilepsy monitoring
This paper proposes a markerless video analytic system for quantifying body part movements in pediatric epilepsy monitoring. The system …
Cite Link
Visualization and clustering of crowd video content in MPCA subspace
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal …
Cite Link
Regularized common spatial patterns with generic learning for EEG signal classification
The common spatial patterns (CSP) algorithm is commonly used to extract discriminative spatial filters for the classification of …
Cite Link Code
Face recognition with biometric encryption for privacy-enhancing self-exclusion
Face recognition has been employed in various security-related applications such as surveillance, mugshot identification, e-passport, …
Cite Link
Uncorrelated multilinear principal component analysis through successive variance maximization
Tensorial data are frequently encountered in various machine learning tasks today and dimensionality reduction is one of their most …
Cite Link PDF
Boosting LDA with regularization on MPCA features for gait recognition
In this paper, we present a boosted linear discriminant analysis (LDA) solution with regularization on features extracted by the …
Cite Link
Uncorrelated multilinear discriminant analysis with regularization for gait recognition
This paper proposes a novel uncorrelated multilinear discriminant analysis (UMLDA) algorithm for the challenging problem of gait …
Cite Link
Gait recognition through MPCA plus LDA
This paper solves the gait recognition problem in a multilinear principal component analysis (MPCA) framework. Gait sequences are …
Cite Link