An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...
We describe an empirical study on the feature space of interest points for natural images. Although local features have been widely used in image analysis as building blocks of va...
Pattern matching is the most computation intensive task of a network intrusion detection system (NIDS). In this paper we present a hardware architecture to speed up the pattern mat...
The present study presents a practical methodology for automatic space monitoring based solely on the perceived acoustic information. We consider the case where atypical situation...