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AAAI
2012
13 years 6 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous

Tutorial
905views
17 years 4 months ago
Location-aware Query Processing and Optimization
The wide spread use of cellular phones, handheld devices, and GPS-like technology enables location-aware environments where virtually all objects are aware of their locations. Loca...
CVPR
2009
IEEE
16 years 11 months ago
Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields
We propose a novel approach for improving level set seg- mentation methods by embedding the potential functions from a discriminatively trained conditional random field (CRF) in...
Dana Cobzas (University of Alberta), Mark Schmidt ...
153
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CVPR
2000
IEEE
16 years 6 months ago
Line Net Global Vectorization: an Algorithm and Its Performance Evaluation
In this paper, an efficient global algorithm for vectorizing line drawings is presented. It first extracts a seed segment of a graphic entity from a raster image to obtain its dir...
Jiqiang Song, Feng Su, Jibing Chen, Chiew-Lan Tai,...
CVPR
2007
IEEE
16 years 6 months ago
Real-time Planar Surface Segmentation in Disparity Space
An iterative Segmentation-Estimation framework for segmentation of planar surfaces in the disparity space is implemented on a Digital Signal Processor (DSP). Disparity of a scene ...
Ninad Thakoor, Sungyong Jung, Jean Gao