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» Optimizing for Reduced Code Space using Genetic Algorithms
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119
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DAC
2002
ACM
16 years 2 months ago
Design of a high-throughput low-power IS95 Viterbi decoder
The design of high-throughput large-state Viterbi decoders relies on the use of multiple arithmetic units. The global communication channels among these parallel processors often ...
Xun Liu, Marios C. Papaefthymiou
145
Voted
TVCG
2011
188views more  TVCG 2011»
14 years 8 months ago
Data-Parallel Octrees for Surface Reconstruction
—We present the first parallel surface reconstruction algorithm that runs entirely on the GPU. Like existing implicit surface reconstruction methods, our algorithm first builds...
Kun Zhou, Minmin Gong, Xin Huang, Baining Guo
116
Voted
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 2 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
ISNN
2011
Springer
14 years 4 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
IEEEPACT
2006
IEEE
15 years 8 months ago
An empirical evaluation of chains of recurrences for array dependence testing
Code restructuring compilers rely heavily on program analysis techniques to automatically detect data dependences between program statements. Dependences between statement instanc...
Johnnie Birch, Robert A. van Engelen, Kyle A. Gall...