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» Improving the Efficiency of Non-Deterministic Computations
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CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
APPT
2005
Springer
14 years 3 months ago
Grid Developing Environment in CGSP System
Abstract. Grid computing is becoming a mainstream technology for multiinstitutional distributed resources sharing and system integration. Normally, the programmer's productivi...
Weimin Zheng, Lisen Mu, Qing Wang, Yongwei Wu
ICCV
2009
IEEE
1198views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Implicit Color Segmentation Features for Pedestrian Detection
We investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Trig...
Patrick Ott and Mark Everingham
CVPR
2004
IEEE
14 years 11 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
CVPR
2007
IEEE
14 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