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ICML
2010
IEEE
15 years 8 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
JAIR
2006
101views more  JAIR 2006»
15 years 6 months ago
Resource Allocation Among Agents with MDP-Induced Preferences
Allocating scarce resources among agents to maximize global utility is, in general, computationally challenging. We focus on problems where resources enable agents to execute acti...
Dmitri A. Dolgov, Edmund H. Durfee
MTA
2007
111views more  MTA 2007»
15 years 6 months ago
Story creation from heterogeneous data sources
There are numerous applications where there is a need to rapidly infer a story about a given subject from a given set of potentially heterogeneous data sources. In this paper, we f...
Marat Fayzullin, V. S. Subrahmanian, Massimiliano ...
WIOPT
2010
IEEE
15 years 5 months ago
A multiobjective performance evaluation framework for routing in wireless ad hoc networks
—Wireless ad hoc networks are seldom characterized by one single performance metric, yet the current literature lacks a flexible framework to assist in characterizing the design...
Katia Jaffrès-Runser, Mary R. Schurgot, Cri...
CVPR
2008
IEEE
16 years 9 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah