P2P systems have witnessed phenomenal development in recent years. Evaluating and analyzing new and existing algorithms and techniques is a key issue for developers of P2P systems...
Tien Tuan Anh Dinh, Georgios K. Theodoropoulos, Ro...
We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
This methodological note focuses on the edge density of real world examples of networks. The edge density is a parameter of interest typically when putting up user studies in an e...
Pointing, a cornerstone of our graphical user interfaces, has been conceptualized and implemented so far as the act of selecting pixels in bitmap displays. We show that the curren...
Yves Guiard, Renaud Blanch, Michel Beaudouin-Lafon