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» On the Complexity of Exclusion Algorithms for Optimization
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CVPR
2007
IEEE
16 years 8 months ago
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
CVPR
2008
IEEE
16 years 8 months ago
Smoothing-based Optimization
We propose an efficient method for complex optimization problems that often arise in computer vision. While our method is general and could be applied to various tasks, it was mai...
Marius Leordeanu, Martial Hebert
DAC
2006
ACM
16 years 7 months ago
Subthreshold logical effort: a systematic framework for optimal subthreshold device sizing
Subthreshold circuit designs have been demonstrated to be a successful alternative when ultra-low power consumption is paramount. However, the characteristics of MOS transistors i...
John Keane, Hanyong Eom, Tae-Hyoung Kim, Sachin S....
IPPS
1998
IEEE
15 years 11 months ago
Hyper Butterfly Network: A Scalable Optimally Fault Tolerant Architecture
Boundeddegreenetworks like deBruijn graphsor wrapped butterfly networks are very important from VLSI implementation point of view as well as for applications where the computing n...
Wei Shi, Pradip K. Srimani
VLDB
1999
ACM
89views Database» more  VLDB 1999»
15 years 11 months ago
Physical Data Independence, Constraints, and Optimization with Universal Plans
We present an optimization method and algorithm designed for three objectives: physical data independence, semantic optimization, and generalized tableau minimization. The method ...
Alin Deutsch, Lucian Popa, Val Tannen