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» Machine learning problems from optimization perspective
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ICML
2007
IEEE
16 years 4 months ago
Full regularization path for sparse principal component analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
NIPS
2007
15 years 4 months ago
Statistical Analysis of Semi-Supervised Regression
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
John D. Lafferty, Larry A. Wasserman
126
Voted
IUI
2005
ACM
15 years 8 months ago
Active preference learning for personalized calendar scheduling assistance
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....
PAMI
2011
14 years 10 months ago
Robust Bilayer Segmentation and Motion/Depth Estimation with a Handheld Camera
—Extracting high-quality dynamic foreground layers from a video sequence is a challenging problem due to the coupling of color, motion, and occlusion. Many approaches assume that...
Guofeng Zhang, Jiaya Jia, Wei Hua, Hujun Bao
159
Voted
HICSS
2003
IEEE
200views Biometrics» more  HICSS 2003»
15 years 8 months ago
A Dynamic Assignment Problem in a Mobile System with Limited Bandwidth
The assignment problem originally arising from parallel and distributed computing has been investigated intensively since the 70’s when Harold Stone proposed a method to solve i...
Yang Wang 0006, Thomas Kunz