This study seeks to quantify the effectiveness of a broad range of acoustic features for speaker identification and their impact in feature fusion. Sixteen different acoustic feat...
Aaron D. Lawson, Pavel Vabishchevich, Mark C. Hugg...
Software applications typically have many features that vary in their similarity. We define a measurement of similarity between pairs of features based on their underlying implem...
Jay Kothari, Trip Denton, Spiros Mancoridis, Ali S...
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
A feature extraction system based on artificial life concepts is presented. The system provides automatic character feature extraction through the local actions of autonomous feat...
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...