Discriminative optical flow tensor for video semantic analysis
Computer Vision and Image Understanding
A new approach for face recognition by sketches in photos
Signal Processing
A least squares formulation for a class of generalized eigenvalue problems in machine learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Gabor texture in active appearance models
Neurocomputing
Learned local Gabor patterns for face representation and recognition
Signal Processing
Binary sparse nonnegative matrix factorization
IEEE Transactions on Circuits and Systems for Video Technology
Fast Haar transform based feature extraction for face representation and recognition
IEEE Transactions on Information Forensics and Security
Correlative linear neighborhood propagation for video annotation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Transfer Discriminative Logmaps
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A new and fast implementation for null space based linear discriminant analysis
Pattern Recognition
Generalized discriminant analysis: a matrix exponential approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Distance approximating dimension reduction of Riemannian manifolds
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Discriminative orthogonal neighborhood-preserving projections for classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Biased discriminant euclidean embedding for content-based image retrieval
IEEE Transactions on Image Processing
Constrained Laplacian Eigenmap for dimensionality reduction
Neurocomputing
Outlier-resisting graph embedding
Neurocomputing
Entropy controlled Laplacian regularization for least square regression
Signal Processing
Active reranking for web image search
IEEE Transactions on Image Processing
Maximum margin criterion with tensor representation
Neurocomputing
Feature extraction based on fuzzy 2DLDA
Neurocomputing
Semi-supervised learning with varifold Laplacians
Neurocomputing
Regularization parameter choice in locally linear embedding
Neurocomputing
Discriminant analysis via support vectors
Neurocomputing
Supervised learning of local projection kernels
Neurocomputing
Weighted feature extraction with a functional data extension
Neurocomputing
Discrminative geometry preserving projections
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Evolutionary cross-domain discriminative hessian eigenmaps
IEEE Transactions on Image Processing
Biologically inspired feature manifold for scene classification
IEEE Transactions on Image Processing
Pattern Recognition Letters
Fusing local patterns of gabor magnitude and phase for face recognition
IEEE Transactions on Image Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An integrated aurora image retrieval system: AuroraEye
Journal of Visual Communication and Image Representation
Discriminative codeword selection for image representation
Proceedings of the international conference on Multimedia
Feature extraction for fMRI-based human brain activity recognition
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
Variational inference with graph regularization for image annotation
ACM Transactions on Intelligent Systems and Technology (TIST)
Non-goal scene analysis for soccer video
Neurocomputing
Local Kernel Feature Analysis (LKFA) for object recognition
Neurocomputing
Speed up kernel discriminant analysis
The VLDB Journal — The International Journal on Very Large Data Bases
m-SNE: multiview stochastic neighbor embedding
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Backward-forward least angle shrinkage for sparse quadratic optimization
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Manifold elastic net: a unified framework for sparse dimension reduction
Data Mining and Knowledge Discovery
Feature level analysis for 3D facial expression recognition
Neurocomputing
Orthogonal Complete Discriminant Locality Preserving Projections for Face Recognition
Neural Processing Letters
Face Recognition Using Kernel UDP
Neural Processing Letters
Recognition of adult images, videos, and web page bags
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
Discriminative concept factorization for data representation
Neurocomputing
Optimized cluster-based filtering algorithm for graph metadata
Information Sciences: an International Journal
Efficient image matching using weighted voting
Pattern Recognition Letters
Image-based facial sketch-to-photo synthesis via online coupled dictionary learning
Information Sciences: an International Journal
Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme
Information Sciences: an International Journal
Discriminative information preservation for face recognition
Neurocomputing
Enhanced fisher discriminant criterion for image recognition
Pattern Recognition
Multi-scale gist feature manifold for building recognition
Neurocomputing
Kernel approximately harmonic projection
Neurocomputing
Query difficulty estimation for image retrieval
Neurocomputing
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Maxi-Min discriminant analysis via online learning
Neural Networks
Kinect image classification using LLC
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Neural Processing Letters
Joint geometry and variability for image recognition
Neurocomputing
Clustering via geometric median shift over Riemannian manifolds
Information Sciences: an International Journal
Local structure divergence index for image quality assessment
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Color fractal structure model for reduced-reference colorful image quality assessment
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
KIMEL: A kernel incremental metalearning algorithm
Signal Processing
Fast multi-view segment graph kernel for object classification
Signal Processing
Multiple kernel local Fisher discriminant analysis for face recognition
Signal Processing
Cartoon features selection using Diffusion Score
Signal Processing
Ordinal regularized manifold feature extraction for image ranking
Signal Processing
Biview face recognition in the shape-texture domain
Pattern Recognition
Towards the Optimal Discriminant Subspace
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Local discriminative distance metrics ensemble learning
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
Exploiting fisher and fukunaga-koontz transforms in chernoff dimensionality reduction
ACM Transactions on Knowledge Discovery from Data (TKDD)
Multi-view hypergraph learning by patch alignment framework
Neurocomputing
Robust spectral regression for face recognition
Neurocomputing
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on ACM SIGKDD 2012
Generalized mean for feature extraction in one-class classification problems
Pattern Recognition
G-Optimal Feature Selection with Laplacian regularization
Neurocomputing
Color-to-gray based on chance of happening preservation
Neurocomputing
Multi-class learning from class proportions
Neurocomputing
Face recognition using Weber local descriptors
Neurocomputing
Multiple linear regression modeling for compositional data
Neurocomputing
Target detection based on a dynamic subspace
Pattern Recognition
Recognizing architecture styles by hierarchical sparse coding of blocklets
Information Sciences: an International Journal
A Bayesian factorised covariance model for image analysis
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Regularized discriminant entropy analysis
Pattern Recognition
Similar handwritten Chinese character recognition by kernel discriminative locality alignment
Pattern Recognition Letters
A Rayleigh-Ritz style method for large-scale discriminant analysis
Pattern Recognition
Multiple spatial pooling for visual object recognition
Neurocomputing
Hi-index | 0.14 |
Subspace selection approaches are powerful tools in pattern classification and data visualization. One of the most important subspace approaches is the linear dimensionality reduction step in the Fisher's linear discriminant analysis (FLDA), which has been successfully employed in many fields such as biometrics, bioinformatics, and multimedia information management. However, the linear dimensionality reduction step in FLDA has a critical drawback: for a classification task with c classes, if the dimension of the projected subspace is strictly lower than c - 1, the projection to a subspace tends to merge those classes, which are close together in the original feature space. If separate classes are sampled from Gaussian distributions, all with identical covariance matrices, then the linear dimensionality reduction step in FLDA maximizes the mean value of the Kullback-Leibler (KL) divergences between different classes. Based on this viewpoint, the geometric mean for subspace selection is studied in this paper. Three criteria are analyzed: 1) maximization of the geometric mean of the KL divergences, 2) maximization of the geometric mean of the normalized KL divergences, and 3) the combination of 1 and 2. Preliminary experimental results based on synthetic data, UCI Machine Learning Repository, and handwriting digits show that the third criterion is a potential discriminative subspace selection method, which significantly reduces the class separation problem in comparing with the linear dimensionality reduction step in FLDA and its several representative extensions.