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ICML
2010
IEEE
15 years 7 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
JC
2007
94views more  JC 2007»
15 years 6 months ago
On the complexity of the multivariate Sturm-Liouville eigenvalue problem
We study the complexity of approximating the smallest eigenvalue of −∆ + q with Dirichlet boundary conditions on the d-dimensional unit cube. Here ∆ is the Laplacian, and th...
A. Papageorgiou
SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
15 years 4 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...
CORR
2011
Springer
175views Education» more  CORR 2011»
15 years 1 months ago
Adaptive Channel Recommendation for Dynamic Spectrum Access
—We propose a dynamic spectrum access scheme where secondary users recommend “good” channels to each other and access accordingly. We formulate the problem as an average rewa...
Xu Chen, Jianwei Huang, Husheng Li
ICCAD
2003
IEEE
145views Hardware» more  ICCAD 2003»
16 years 3 months ago
Manufacturing-Aware Physical Design
Ultra-deep submicron manufacturability impacts physical design (PD) through complex layout rules and large guardbands for process variability; this creates new requirements for ne...
Puneet Gupta, Andrew B. Kahng