Advances in statistical pattern recognition
Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications
Floating search methods in feature selection
Pattern Recognition Letters
Novel Methods for Subset Selection with Respect to Problem Knowledge
IEEE Intelligent Systems
Feature selection toolbox software package
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Classifier-Independent Feature Selection Based on Non-parametric Discriminant Analysis
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Comparison of Classifier-Specific Feature Selection Algorithms
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A Framework for Classifier Fusion: Is It Still Needed?
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A Divergence Criterion for Classifier-Independent Feature Selection
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Advances in Statistical Feature Selection
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Simultaneous Feature Selection and Clustering Using Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Joint Key-Frame Extraction and Object-Based Video Segmentation
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
MILES: Multiple-Instance Learning via Embedded Instance Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric classifier-independent feature selection
Pattern Recognition
A Graphical Model for Content Based Image Suggestion and Feature Selection
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
A Statistical Approach for Binary Vectors Modeling and Clustering
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
On multivariate binary data clustering and feature weighting
Computational Statistics & Data Analysis
Correcting the Kullback-Leibler distance for feature selection
Pattern Recognition Letters
On signal representations within the Bayes decision framework
Pattern Recognition
Expert Systems with Applications: An International Journal
Entropy criterion for classifier-independent feature selection
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Application of global optimization methods to model and feature selection
Pattern Recognition
| Hi-index | 0.15 |
A new feature selection procedure based on the Kullback J-divergence between two class conditional density functions approximated by a finite mixture of parameterized densities of a special type is presented. This procedure is suitable especially for multimodal data. Apart from finding a feature subset of any cardinality without involving any search procedure, it also simultaneously yields a pseudo-Bayes decision rule. Its performance is tested on real data.