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182
Voted
ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 4 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
CVPR
2008
IEEE
16 years 6 months ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
CC
2009
Springer
190views System Software» more  CC 2009»
16 years 5 months ago
SSA Elimination after Register Allocation
form uses a notational abstractions called -functions. These instructions have no analogous in actual machine instruction sets, and they must be replaced by ordinary instructions ...
Fernando Magno Quintão Pereira, Jens Palsbe...
132
Voted
ICSM
1999
IEEE
15 years 9 months ago
Bunch: A Clustering Tool for the Recovery and Maintenance of Software System Structures
Software systems are typically modified in order to extend or change their functionality, improve their performance, port them to different platforms, and so on. For developers, i...
Spiros Mancoridis, Brian S. Mitchell, Yih-Farn Che...
NIPS
1997
15 years 6 months ago
Multi-modular Associative Memory
Recent imaging studies suggest that object knowledge is stored in the brain as a distributed network of many cortical areas. Motivated by these observations, we study a multi-modu...
Nir Levy, David Horn, Eytan Ruppin