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» Approximating Component Selection
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104
Voted
DATE
2000
IEEE
114views Hardware» more  DATE 2000»
15 years 8 months ago
Automating RT-Level Operand Isolation to Minimize Power Consumption in Datapaths
Designs which do not fully utilize their arithmetic datapath components typically exhibit a significant overhead in power consumption. Whenever a module performs an operation who...
Michael Münch, Norbert Wehn, Bernd Wurth, Ren...
HIS
2008
15 years 5 months ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...
150
Voted
PAMI
2010
192views more  PAMI 2010»
15 years 1 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens
128
Voted
TIP
2011
124views more  TIP 2011»
14 years 10 months ago
A Geometric Method for Optimal Design of Color Filter Arrays
—A color filter array (CFA) used in a digital camera is a mosaic of spectrally selective filters, which allows only one color component to be sensed at each pixel. The missing ...
Pengwei Hao, Yan Li, Zhouchen Lin, Eric Dubois
CIKM
2009
Springer
15 years 10 months ago
Fast shortest path distance estimation in large networks
In this paper we study approximate landmark-based methods for point-to-point distance estimation in very large networks. These methods involve selecting a subset of nodes as landm...
Michalis Potamias, Francesco Bonchi, Carlos Castil...