In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
A new method for the blind separation of linear image mixtures is presented in this paper. Such mixtures often occur, when, for example, we photograph a scene through a semireflec...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
— This paper presents a high speed visual tracking method based on non simultaneous subimages acquisition. This method is formulated as a virtual visual servoing scheme. The sequ...
Redwan Dahmouche, Nicolas Andreff, Youcef Mezouar,...
A new sub-optimal subset search method for feature selection is introduced. As opposed to other till now known subset selection methods the oscillating search is not dependent on ...