The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probabilit...
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Abstract. Aggressive optimization of programs often relies on analysis and transformation that cuts across the natural abstraction boundaries of the source programming language, su...
Voice over Internet Protocol (VoIP) applications must typically choose a tradeoff between the bits allocated for Forward Error Correcting (FEC) and that for the source coding to a...
In this paper, we propose a statistical optimization framework for transmitting audio sequences over wireless links. Our proposed framework protects audio frames against both temp...