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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 9 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
CVPR
2012
IEEE
13 years 9 months ago
On multiple foreground cosegmentation
In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo se...
Gunhee Kim, Eric P. Xing
CVPR
2012
IEEE
13 years 9 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
CORR
2007
Springer
130views Education» more  CORR 2007»
15 years 6 months ago
Lagrangian Relaxation for MAP Estimation in Graphical Models
Abstract— We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an in...
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Wil...
TCOM
2008
192views more  TCOM 2008»
15 years 6 months ago
Joint source coding, routing and power allocation in wireless sensor networks
This paper proposes a cross-layer optimization framework for the wireless sensor networks. In a wireless sensor network, each sensor makes a local observation of the underlying phy...
Jun Yuan, Wei Yu