The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
We extend multiclass SVM to multiple prototypes per class. For this framework, we give a compact constrained quadratic problem and we suggest an efficient algorithm for its optimi...
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
A line detection and segmentation technique is presented. The proposed technique is an improved version of an older technique. The experiments have been performed on the dataset o...
Distance-Based Amplitude Panning (DBAP) has recently been proposed as a new technique for panning sound sources in two and three dimensional spaces spaces. In this paper, DBAP is ...
Dimitar Kostadinov, Joshua D. Reiss, Valeri Mladen...