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CVPR
2007
IEEE
15 years 11 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
CGF
2008
129views more  CGF 2008»
14 years 10 months ago
Sequential Monte Carlo Adaptation in Low-Anisotropy Participating Media
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...
Vincent Pegoraro, Ingo Wald, Steven G. Parker
BMCBI
2008
118views more  BMCBI 2008»
14 years 10 months ago
DOVIS: an implementation for high-throughput virtual screening using AutoDock
Background: Molecular-docking-based virtual screening is an important tool in drug discovery that is used to significantly reduce the number of possible chemical compounds to be i...
Shuxing Zhang, Kamal Kumar, Xiaohui Jiang, Anders ...
ATAL
2006
Springer
14 years 11 months ago
Mertacor: a successful autonomous trading agent
In this paper we present the internal architecture and bidding mechanisms designed for Mertacor, a successful trading agent, which ended up first in the Classic Trading Agent Comp...
Panos Toulis, Dionisis Kehagias, Pericles A. Mitka...
ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...