—Achieving high-performance while reducing power consumption is a key concern as technology scaling is reaching its limits. It is well-accepted that application-specific custom ...
Ardavan Pedram, Andreas Gerstlauer, Robert A. van ...
Abstract. Instance retraction is a difficult problem for concept learning by version spaces. This chapter introduces a family of version-space representations called one-sided inst...
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H....
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
This paper introduces an extension of Hartley's selfcalibration technique [8] based on properties of the essential matrix, allowing for the stable computation of varying foca...
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...