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» Approximate algorithms for neural-Bayesian approaches
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CVPR
2006
IEEE
15 years 4 months ago
Combined Depth and Outlier Estimation in Multi-View Stereo
In this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes:...
Christoph Strecha, Rik Fransens, Luc J. Van Gool
IPPS
2006
IEEE
15 years 4 months ago
Loosely-coupled loop scheduling in computational grids
Loop distribution is one of the most useful techniques to reduce the execution time of parallel applications. Traditionally, loop scheduling algorithms are implemented based on pa...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
SIGGRAPH
1999
ACM
15 years 2 months ago
Creating Generative Models from Range Images
We describe a new approach for creating concise high-level generative models from range images or other approximate representations of real objects. Using data from a variety of a...
Ravi Ramamoorthi, James Arvo
CGI
2006
IEEE
15 years 1 months ago
Feature Sensitive Out-of-Core Chartification of Large Polygonal Meshes
Mesh chartification is an important tool for processing meshes in various applications. In this paper, we present a novel feature sensitive mesh chartification technique that can h...
Sungyul Choe, Minsu Ahn, Seungyong Lee
IJCAI
2007
14 years 11 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern