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» Optimization techniques for small matrix multiplication
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SAC
2006
ACM
15 years 3 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
65
Voted
3DPVT
2002
IEEE
128views Visualization» more  3DPVT 2002»
15 years 2 months ago
Towards Automatic Modeling of Monuments and Towers
Three-dimensional modeling from images, when carried out entirely by a human, can be time consuming and impractical for large-scale projects. On the other hand, full automation ma...
Sabry F. El-Hakim, J.-Angelo Beraldin, Jean-Fran&c...
77
Voted
VLSID
2002
IEEE
123views VLSI» more  VLSID 2002»
15 years 10 months ago
Compiler-Directed Array Interleaving for Reducing Energy in Multi-Bank Memories
With the increased use of embedded/portable devices such as smart cellular phones, pagers, PDAs, hand-held computers, and CD players, improving energy efficiency is becoming a cri...
Victor Delaluz, Mahmut T. Kandemir, Narayanan Vija...
DCC
2010
IEEE
14 years 9 months ago
The cost of false alarms in Hellman and rainbow tradeoffs
Abstract Cryptanalytic time memory tradeoff algorithms are generic one-way function inversion techniques that utilize pre-computation. Even though the online time complexity is kno...
Jin Hong
FGCS
2006
135views more  FGCS 2006»
14 years 9 months ago
Scaling applications to massively parallel machines using Projections performance analysis tool
Some of the most challenging applications to parallelize scalably are the ones that present a relatively small amount of computation per iteration. Multiple interacting performanc...
Laxmikant V. Kalé, Gengbin Zheng, Chee Wai ...