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CP
2005
Springer
15 years 9 months ago
Solving Simple Planning Problems with More Inference and No Search
Many problems used in AI planning including Blocks, Logistics, Gripper, Satellite, and others lack the interactions that characterize puzzles and can be solved nonoptimally in low...
Vincent Vidal, Hector Geffner
DSP
2007
15 years 3 months ago
Variational and stochastic inference for Bayesian source separation
We tackle the general linear instantaneous model (possibly underdetermined and noisy) where we model the source prior with a Student t distribution. The conjugate-exponential char...
Ali Taylan Cemgil, Cédric Févotte, S...
CVPR
2004
IEEE
16 years 5 months ago
Video Repairing: Inference of Foreground and Background under Severe Occlusion
In this paper, we propose a new method, video repairing, to robustly infer missing static background and moving foreground due to severe damage or occlusion from a video. To recov...
Jiaya Jia, Tai-Pang Wu, Yu-Wing Tai, Chi-Keung Tan...
124
Voted
KES
2005
Springer
15 years 9 months ago
Bayesian Inference Driven Behavior Network Architecture for Avoiding Moving Obstacles
This paper presents a technique for an intelligent robot to adaptively behave in unforeseen and dynamic circumstances. Since the traditional methods utilized the relatively reliabl...
Hyeun-Jeong Min, Sung-Bae Cho
147
Voted
ICML
2008
IEEE
16 years 4 months ago
Training structural SVMs when exact inference is intractable
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Thomas Finley, Thorsten Joachims