Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
A fast fixed-point algorithm for independent component analysis
Neural Computation
EM algorithms for PCA and SPCA
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Applied Numerical Methods for Engineers Using MATLAB
Applied Numerical Methods for Engineers Using MATLAB
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Video Compression and Retrieval of Moving Object Location Applied to Surveillance
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A Framework for Trajectory Clustering
GSN '09 Proceedings of the 3rd International Conference on GeoSensor Networks
Fast global k-means clustering using cluster membership and inequality
Pattern Recognition
A fast nonparametric noncausal MRF-based texture synthesis scheme using a novel FKDE algorithm
IEEE Transactions on Image Processing
New fast principal component analysis for real-time face detection
Machine Graphics & Vision International Journal
TVi: a visual querying system for network monitoring and anomaly detection
Proceedings of the 8th International Symposium on Visualization for Cyber Security
Protecting Privacy Against Record Linkage Disclosure: A Bounded Swapping Approach for Numeric Data
Information Systems Research
Selective resource characterization for evaluation of system dynamics
ACM SIGMETRICS Performance Evaluation Review
PCA-based high-dimensional noisy data clustering via control of decision errors
Knowledge-Based Systems
Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's disease
International Journal of Data Mining and Bioinformatics
Local covariance filtering for color images
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
sonLP: social network link prediction by principal component regression
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Probabilistic pseudo-morphology for grayscale and color images
Pattern Recognition
Context-sensitive intra-class clustering
Pattern Recognition Letters
A feature selection method using fixed-point algorithm for DNA microarray gene expression data
International Journal of Knowledge-based and Intelligent Engineering Systems
A feature selection method using improved regularized linear discriminant analysis
Machine Vision and Applications
Hi-index | 0.10 |
In this paper we present an efficient way of computing principal component analysis (PCA). The algorithm finds the desired number of leading eigenvectors with a computational cost that is much less than that from the eigenvalue decomposition (EVD) based PCA method. The mean squared error generated by the proposed method is very similar to the EVD based PCA method.