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» The framework approach for constraint satisfaction
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AIPS
2004
15 years 7 months ago
Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Branislav Kveton, Milos Hauskrecht
IJON
2006
103views more  IJON 2006»
15 years 6 months ago
Kernel extrapolation
We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled ...
S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri ...
CVPR
2012
IEEE
13 years 8 months ago
Dense Lagrangian motion estimation with occlusions
We couple occlusion modeling and multi-frame motion estimation to compute dense, temporally extended point trajectories in video with significant occlusions. Our approach combine...
Susanna Ricco, Carlo Tomasi
ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Robust Visual Tracking using L1 Minimization
In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corru...
Xue Mei, Haibin Ling
IROS
2008
IEEE
258views Robotics» more  IROS 2008»
16 years 24 days ago
3D active appearance model for aligning faces in 2D images
Abstract— Perceiving human faces is one of the most important functions for human robot interaction. The active appearance model (AAM) is a statistical approach that models the s...
Chun-Wei Chen, Chieh-Chih Wang