We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
The notion of embedding a class of dichotomies in a class of linear half spaces is central to the support vector machines paradigm. We examine the question of determining the mini...
Many embedded systems contain resource constrained microcontrollers where applications, operating system components and device drivers reside within a single address space with no...
Ram Kumar, Akhilesh Singhania, Andrew Castner, Edd...
In this paper, we present a methodology for low-cost and rapid context switch for multithreaded embedded processors with realtime guarantees. Context-switch, which involves saving...