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JMLR
2012
13 years 1 months ago
Perturbation based Large Margin Approach for Ranking
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar
ECCV
2008
Springer
16 years 25 days ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher
ICDE
2008
IEEE
178views Database» more  ICDE 2008»
16 years 9 days ago
On the Optimal Selection of k in the k-Anonymity Problem
When disseminating data involving human subjects, researchers have to weigh in the requirements of privacy of the individuals involved in the data. A model widely used for enhancin...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
ICC
2007
IEEE
130views Communications» more  ICC 2007»
15 years 5 months ago
Queuing with Adaptive Modulation over MIMO Wireless Links for Deadline Constrained Traffic: Cross-Layer Analysis and Design
In this paper, we consider a deadline constrained traffic and analyze the joint effects of packet queuing and adaptive modulation (AM) for packet transmission in MIMO systems. We p...
Jalil S. Harsini, Farshad Lahouti
ATAL
2007
Springer
15 years 5 months ago
SSDPOP: improving the privacy of DCOP with secret sharing
Multi-agent systems designed to work collaboratively with groups of people typically require private information that people will entrust to them only if they have assurance that ...
Rachel Greenstadt, Barbara J. Grosz, Michael D. Sm...