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» The Computational Complexity of Linear Optics
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PC
2002
158views Management» more  PC 2002»
13 years 10 months ago
On parallel block algorithms for exact triangularizations
We present a new parallel algorithm to compute an exact triangularization of large square or rectangular and dense or sparse matrices in any field. Using fast matrix multiplicatio...
Jean-Guillaume Dumas, Jean-Louis Roch
ICIP
2009
IEEE
13 years 8 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler
CVPR
2011
IEEE
13 years 5 months ago
Proposal Generation for Object Detection using Cascaded Ranking SVMs
Object recognition has made great strides recently. However, the best methods, such as those based on kernelSVMs are highly computationally intensive. The problem of how to accele...
Ziming Zhang, Jonathan Warrell, Philip Torr
ICASSP
2011
IEEE
13 years 1 months ago
Efficient NLMS and RLS algorithms for a class of nonlinear filters using periodic input sequences
The paper discusses computationally efficient NLMS and RLS algorithms for a broad class of nonlinear filters using periodic input sequences. The class comprises all nonlinear ...
Alberto Carini, V. John Mathews, Giovanni L. Sicur...
FCCM
2006
IEEE
195views VLSI» more  FCCM 2006»
14 years 4 months ago
A Parallel Hardware Architecture for fast Gaussian Elimination over GF(2)
This paper presents a hardware-optimized variant of the well-known Gaussian elimination over GF(2) and its highly efficient implementation. The proposed hardware architecture, we...
Andrey Bogdanov, M. C. Mertens