Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
What does the retina know about natural scenes?
Neural Computation
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appearance-based hand sign recognition from intensity image sequences
Computer Vision and Image Understanding
Discriminative Common Vectors for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
State-based SHOSLIF for indoor visual navigation
IEEE Transactions on Neural Networks
Performance of similarity measures based on histograms of local image feature vectors
Pattern Recognition Letters
Ring-to-line mapping and orientation invariant transform for Chinese seal character recognition
International Journal of Computer Mathematics
Palm-print recognition by matrix discriminator
Expert Systems with Applications: An International Journal
Short Communication: Face recognition using message passing based clustering method
Journal of Visual Communication and Image Representation
To obtain orthogonal feature extraction using training data selection
Proceedings of the 18th ACM conference on Information and knowledge management
(2D)2PCA-ICA: a new approach for face representation and recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
r-Theta and orientation invariant transform and signal combining for fingerprint recognition
Expert Systems with Applications: An International Journal
Recognition of JPEG compressed face images based on AdaBoost
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
CBIR over multiple projections of 3D objects
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Orientation distance-based discriminative feature extraction for multi-class classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
TAKES: a fast method to select features in the kernel space
Proceedings of the 20th ACM international conference on Information and knowledge management
Facial image analysis using subspace segregation based on class information
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
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In this paper, a fast incremental principal non-Gaussian directions analysis algorithm, called IPCA-ICA, is introduced. This algorithm computes the principal components of a sequence of image vectors incrementally without estimating the covariance matrix (so covariance-free) and at the same time transforming these principal components to the independent directions that maximize the non-Gaussianity of the source. Two major techniques are used sequentially in a real-time fashion in order to obtain the most efficient and independent components that describe a whole set of human faces database. This procedure is done by merging the runs of two algorithms based on principal component analysis (PCA) and independent component analysis (ICA) running sequentially. This algorithm is applied to face recognition problem. Simulation results on different databases showed high average success rate of this algorithm compared to others.