An Optimal Transformation for Discriminant and Principal Component Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-negative Matrix Factorization with Sparseness Constraints
The Journal of Machine Learning Research
Sparse Image Coding Using a 3D Non-Negative Tensor Factorization
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Non-negative tensor factorization with applications to statistics and computer vision
ICML '05 Proceedings of the 22nd international conference on Machine learning
Nonsmooth Nonnegative Matrix Factorization (nsNMF)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Projected Gradient Methods for Nonnegative Matrix Factorization
Neural Computation
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Representation Plurality and Fusion for 3-D Face Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Orthogonal Laplacianfaces for Face Recognition
IEEE Transactions on Image Processing
Multilinear Discriminant Analysis for Face Recognition
IEEE Transactions on Image Processing
Topology Preserving Non-negative Matrix Factorization for Face Recognition
IEEE Transactions on Image Processing
IEEE Transactions on Neural Networks
On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization
IEEE Transactions on Neural Networks
Non-negative tensor factorization applied to music genre classification
IEEE Transactions on Audio, Speech, and Language Processing
Discriminant orthogonal rank-one tensor projections for face recognition
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Higher rank Support Tensor Machines for visual recognition
Pattern Recognition
Subclass discriminant Nonnegative Matrix Factorization for facial image analysis
Pattern Recognition
Tensor rank one differential graph preserving analysis for facial expression recognition
Image and Vision Computing
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Nonnegative matrix factorization (NMF) has proven to be very successful for image analysis, especially for object representation and recognition. NMF requires the object tensor (with valence more than one) to be vectorized. This procedure may result in information loss since the local object structure is lost due to vectorization. Recently, in order to remedy this disadvantage of NMF methods, nonnegative tensor factorizations (NTF) algorithms that can be applied directly to the tensor representation of object collections have been introduced. In this paper, we propose a series of unsupervised and supervised NTF methods. That is, we extend several NMF methods using arbitrary valence tensors. Moreover, by incorporating discriminant constraints inside the NTF decompositions, we present a series of discriminant NTF methods. The proposed approaches are tested for face verification and facial expression recognition, where it is shown that they outperform other popular subspace approaches.