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» On the Optimality of the Dimensionality Reduction Method
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AAAI
2000
15 years 7 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
CGF
2006
106views more  CGF 2006»
15 years 6 months ago
Silhouette Extraction in Hough Space
Object-space silhouette extraction is an important problem in fields ranging from non-photorealistic computer graphics to medical robotics. We present an efficient silhouette extr...
Matt Olson, Hao Zhang 0002
TOG
2008
70views more  TOG 2008»
15 years 6 months ago
Space-time surface reconstruction using incompressible flow
We introduce a volumetric space-time technique for the reconstruction of moving and deforming objects from point data. The output of our method is a four-dimensional space-time so...
Andrei Sharf, Dan A. Alcantara, Thomas Lewiner, Ch...
CGF
2004
113views more  CGF 2004»
15 years 6 months ago
Coherent Hierarchical Culling: Hardware Occlusion Queries Made Useful
We present a simple but powerful algorithm for optimizing the usage of hardware occlusion queries in arbitrary complex scenes. Our method minimizes the number of issued queries an...
Jirí Bittner, Michael Wimmer, Harald Piring...
177
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CVPR
2010
IEEE
15 years 5 months ago
Transform Coding for Fast Approximate Nearest Neighbor Search in High Dimensions
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...
Jonathan Brandt