Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
"Spatial structures and spatial reasoning are essential to perception and cognition. Much
day-to-day practical information is about what happens at certain spatial locations....
Abstract. We address the problem of modeling the spatial and temporal second-order statistics of video sequences that exhibit both spatial and temporal regularity, intended in a st...
Compression of encrypted data can be achieved by employing Slepian-Wolf coding (SWC). However, how to efficiently exploit the source dependency in an encrypted colored signal such...