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JMLR
2012
13 years 9 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
INFOCOM
2012
IEEE
13 years 9 months ago
Strategizing surveillance for resource-constrained event monitoring
—Surveillance systems, such as sensor networks and surveillance camera networks, have been widely deployed to monitor events in many different scenarios. One common way to conser...
Xi Fang, Dejun Yang, Guoliang Xue
CVPR
2012
IEEE
13 years 9 months ago
Discrete-continuous optimization for multi-target tracking
The problem of multi-target tracking is comprised of two distinct, but tightly coupled challenges: (i) the naturally discrete problem of data association, i.e. assigning image obs...
Anton Andriyenko, Konrad Schindler, Stefan Roth
JCSS
2008
138views more  JCSS 2008»
15 years 6 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Fast Normalized Cut with Linear Constraints
Normalized Cut is a widely used technique for solving a variety of problems. Although finding the optimal normalized cut has proven to be NP-hard, spectral relaxations can be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...