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ASAP
2011
IEEE
228views Hardware» more  ASAP 2011»
14 years 2 months ago
A high-performance, low-power linear algebra core
—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 ...
CINQ
2004
Springer
123views Database» more  CINQ 2004»
15 years 7 months ago
One-Sided Instance-Based Boundary Sets
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....
119
Voted
CVPR
2006
IEEE
16 years 4 months ago
Learning Semantic Patterns with Discriminant Localized Binary Projections
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...
Shuicheng Yan, Tianqiang Yuan, Xiaoou Tang
106
Voted
CVPR
1999
IEEE
16 years 4 months ago
A Simple Technique for Self-Calibration
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...
Paulo R. S. Mendonça, Roberto Cipolla
121
Voted
ICML
2003
IEEE
16 years 3 months ago
Weighted Low-Rank Approximations
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...
Nathan Srebro, Tommi Jaakkola