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» Question classification using support vector machines
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PPOPP
2009
ACM
16 years 4 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle
174
Voted
ICASSP
2009
IEEE
15 years 1 months ago
Target detection using incremental learning on single-trial evoked response
The human neural responses associated with cognitive events, referred as event related potentials (ERPs), can provide reliable inference for target image detection. Incremental le...
Yonghong Huang, Deniz Erdogmus, Misha Pavel, Kenne...
CVPR
2005
IEEE
16 years 5 months ago
Detecting Doctored Images Using Camera Response Normality and Consistency
The advance in image/video editing techniques has facilitated people in synthesizing realistic images/videos that may hard to be distinguished from real ones by visual examination...
Zhouchen Lin, Rongrong Wang, Xiaoou Tang, Heung-Ye...
121
Voted
ICML
2006
IEEE
16 years 4 months ago
Concept boundary detection for speeding up SVMs
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
Navneet Panda, Edward Y. Chang, Gang Wu
137
Voted
CISS
2008
IEEE
15 years 10 months ago
On optimal training and beamforming in uncorrelated MIMO systems with feedback
—This paper studies the design and analysis of optimal training-based beamforming in uncorrelated multipleinput multiple-output (MIMO) channels with known Gaussian statistics. Fi...
Francisco Rubio, Dongning Guo, Michael L. Honig, X...