In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this pa...
This paper presents a design methodology for fully reconfigurable low-voltage Delta-Sigma converters as for instance used in next-generation wireless applications. The design metho...
Abstract— Optimal motions are usually used as joint reference trajectories for repetitive or complex motions. In the case of soccer robots, the kicking motion is usually a benchm...
Sebastien Lengagne, Philippe Fraisse, Nacim Ramdan...
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...