Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
Source separation techniques like independent component analysis and the more recent non-negative matrix factorization are gaining widespread use for the monaural separation of in...
The object of this paper is to appreciate the computational limits inherent in the combinatorics of an applied concurrent (aka agent-based) language . That language is primarily m...
Pierre-Louis Curien, Vincent Danos, Jean Krivine, ...
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Mesh segmentation has become an important component in many applications in computer graphics. In the last several years, many algorithms have been proposed in this growing area, ...
Marco Attene, S. Katz, Michela Mortara, Giuseppe P...