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» A local approximation algorithm for maximum weight matching
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83
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ICML
2008
IEEE
15 years 10 months ago
Efficiently learning linear-linear exponential family predictive representations of state
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
David Wingate, Satinder P. Singh
TIFS
2008
157views more  TIFS 2008»
14 years 9 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
ICASSP
2011
IEEE
14 years 1 months ago
Target localization with NLOS circularly reflected AOAS
Bearings-only localization with light-of-sight (LOS) propagation is well understood. This paper concentrates on bearing-only localization with non-line-of-sight (NLOS) measurement...
Xiufeng Song, Peter Willett, Shengli Zhou
CVIU
2007
154views more  CVIU 2007»
14 years 9 months ago
Bayesian stereo matching
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...
Li Cheng, Terry Caelli
94
Voted
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
15 years 2 months ago
Maximizing aggregated revenue in sensor networks under deadline constraints
Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
Srikanth Hariharan, Ness B. Shroff