Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
The nature of statistical learning theory
The nature of statistical learning theory
SIAM Review
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalization performance of support vector machines and other pattern classifiers
Advances in kernel methods
Least Squares Support Vector Machine Classifiers
Neural Processing Letters
Semiparametric support vector and linear programming machines
Proceedings of the 1998 conference on Advances in neural information processing systems II
Proximal support vector machine classifiers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: From Theory to Applications
Face Recognition: From Theory to Applications
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Object-based visual attention for computer vision
Artificial Intelligence
Semantic Organization of Scenes Using Discriminant Structural Templates
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A robust minimax approach to classification
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Convex Optimization
Learning the Kernel Matrix with Semidefinite Programming
The Journal of Machine Learning Research
Region-based image retrieval using integrated color, shape, and location index
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Semisupervised learning from different information sources
Knowledge and Information Systems
Using Markov chain Monte Carlo and dynamic programming for event sequence data
Knowledge and Information Systems
A Two-Stage Linear Discriminant Analysis via QR-Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Semi-supervised learning with an imperfect supervisor
Knowledge and Information Systems
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Neural Computation
Beyond streams and graphs: dynamic tensor analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Human Carrying Status in Visual Surveillance
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Introduction to Mathematical Programming: Applications and Algorithms
Introduction to Mathematical Programming: Applications and Algorithms
Video classification using transform coefficients
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Negative Samples Analysis in Relevance Feedback
IEEE Transactions on Knowledge and Data Engineering
A robust multimodal approach for emotion recognition
Neurocomputing
Local face sketch synthesis learning
Neurocomputing
Active post-refined multimodality video semantic concept detection with tensor representation
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Shot-based video retrieval with optical flow tensor and HMMs
Pattern Recognition Letters
Two-dimensional subspace classifiers for face recognition
Neurocomputing
Letters: Local ridge regression for face recognition
Neurocomputing
Discriminative optical flow tensor for video semantic analysis
Computer Vision and Image Understanding
Reversibility improved lossless data hiding
Signal Processing
An Online Approach for Mining Collective Behaviors from Molecular Dynamics Simulations
RECOMB 2'09 Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology
Feature extraction based on Laplacian bidirectional maximum margin criterion
Pattern Recognition
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Regional category parsing in undirected graphical models
Pattern Recognition Letters
Multi-video synopsis for video representation
Signal Processing
Tensor distance based multilinear multidimensional scaling for image and video analysis
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Image quality assessment based on multiscale geometric analysis
IEEE Transactions on Image Processing
Uncorrelated multilinear principal component analysis for unsupervised multilinear subspace learning
IEEE Transactions on Neural Networks
Distance approximating dimension reduction of Riemannian manifolds
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Entropy controlled Laplacian regularization for least square regression
Signal Processing
Maximum margin criterion with tensor representation
Neurocomputing
Feature extraction based on fuzzy 2DLDA
Neurocomputing
Relative Margin Support Tensor Machines for gait and action recognition
Proceedings of the ACM International Conference on Image and Video Retrieval
Object trajectory clustering via tensor analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A unified tensor level set for image segmentation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Low-resolution gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Plant classification using leaf image based on 2D linear discriminant analysis
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Tensor-based locally maximum margin classifier for image and video classification
Computer Vision and Image Understanding
A survey of multilinear subspace learning for tensor data
Pattern Recognition
Hierarchical visual event pattern mining and its applications
Data Mining and Knowledge Discovery
Manifold elastic net: a unified framework for sparse dimension reduction
Data Mining and Knowledge Discovery
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
Automatic seizure detection incorporating structural information
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Similarity boosting for label noise tolerance in protein-chemical interaction prediction
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Empirical discriminative tensor analysis for crime forecasting
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
Expert Systems with Applications: An International Journal
Survey: Subspace methods for face recognition
Computer Science Review
Accelerated singular value thresholding for matrix completion
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Higher rank Support Tensor Machines for visual recognition
Pattern Recognition
Joint geometry and variability for image recognition
Neurocomputing
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Biview face recognition in the shape-texture domain
Pattern Recognition
Visual saliency detection using information divergence
Pattern Recognition
Facial expression recognition based on Hessian regularized support vector machine
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Multi-view hypergraph learning by patch alignment framework
Neurocomputing
A tensor factorization based least squares support tensor machine for classification
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Face recognition using Weber local descriptors
Neurocomputing
Multiple rank multi-linear SVM for matrix data classification
Pattern Recognition
A Bayesian factorised covariance model for image analysis
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A Comprehensive Survey to Face Hallucination
International Journal of Computer Vision
Hi-index | 0.00 |
Tensor representation is helpful to reduce the small sample size problem in discriminative subspace selection. As pointed by this paper, this is mainly because the structure information of objects in computer vision research is a reasonable constraint to reduce the number of unknown parameters used to represent a learning model. Therefore, we apply this information to the vector-based learning and generalize the vector-based learning to the tensor-based learning as the supervised tensor learning (STL) framework, which accepts tensors as input. To obtain the solution of STL, the alternating projection optimization procedure is developed. The STL framework is a combination of the convex optimization and the operations in multilinear algebra. The tensor representation helps reduce the overfitting problem in vector-based learning. Based on STL and its alternating projection optimization procedure, we generalize support vector machines, minimax probability machine, Fisher discriminant analysis, and distance metric learning, to support tensor machines, tensor minimax probability machine, tensor Fisher discriminant analysis, and the multiple distance metrics learning, respectively. We also study the iterative procedure for feature extraction within STL. To examine the effectiveness of STL, we implement the tensor minimax probability machine for image classification. By comparing with minimax probability machine, the tensor version reduces the overfitting problem.