A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a "chain" structure is introduced to integrate h...
While camcorders have become a commodity home appliance, few watch the recorded videos or share them with friends and relatives due to the difficulty of turning the raw footage in...
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
Abstract— In this paper, a performance analysis of a dualbranch switched diversity system operating on identically distributed Nakagami-m fading channels is presented. An adaptiv...
In this paper we describe a novel method for gait based identity verification based on Bayesian classification. The verification task is reduced to a two class problem (Client or ...