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GRAPHICSINTERFACE
2000
15 years 4 months ago
Model Simplification Through Refinement
As modeling and visualization applications proliferate, there arises a need to simplify large polygonal models at interactive rates. Unfortunately existing polygon mesh simplifica...
Dmitry Brodsky, Benjamin Watson
ICML
2006
IEEE
16 years 4 months ago
Using inaccurate models in reinforcement learning
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
Pieter Abbeel, Morgan Quigley, Andrew Y. Ng
132
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SIGIR
2006
ACM
15 years 9 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
TKDE
2010
150views more  TKDE 2010»
15 years 1 months ago
Prospective Infectious Disease Outbreak Detection Using Markov Switching Models
—Accurate and timely detection of infectious disease outbreaks provides valuable information which can enable public health officials to respond to major public health threats in...
Hsin-Min Lu, Daniel Zeng, Hsinchun Chen
COMPGEOM
2003
ACM
15 years 8 months ago
Billboard clouds
We introduce billboard clouds – a new approach for extreme simplification in the context of real-time rendering. 3D models are simplified onto a set of planes with texture and...
Xavier Décoret, Frédo Durand, Fran&c...