Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
In this paper we describe a method that estimates the motion of a calibrated camera (settled on an experimental vehicle) and the tridimensional geometry of the environment. The on...
E. Mouragnon, Fabien Dekeyser, Patrick Sayd, Maxim...
We present a new scheduling algorithm, which is a synthesis of all the remarkable features of pretransmission coordination-based protocols for broadcast and select star networks. ...
Panagiotis G. Sarigiannidis, Georgios I. Papadimit...