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» Constraints in Weighted Averaging
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COLT
2005
Springer
15 years 5 months ago
Leaving the Span
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
Manfred K. Warmuth, S. V. N. Vishwanathan
ICASSP
2009
IEEE
15 years 6 months ago
A multiplicative weight perturbation scheme for distributed beamforming in wireless relay networks with 1-bit feedback
This paper focuses on perturbation-based distributed beamforming with 1-bit feedback for wireless amplify-and-forward relay networks. We propose to use multiplicative perturbation...
Peter Fertl, Ari Hottinen, Gerald Matz
MVA
2007
154views Computer Vision» more  MVA 2007»
15 years 1 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui
CVPR
2012
IEEE
13 years 2 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...
SLP
1993
117views more  SLP 1993»
15 years 1 months ago
Boolean Constraint Solving Using clp(FD)
We present a boolean constraint logic language clp(B/FD) built upon a language over finite domains clp(FD) which uses a local propagation constraint solver. It is based on a sing...
Philippe Codognet, Daniel Diaz