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ESANN
2008
15 years 1 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
CVPR
2011
IEEE
14 years 7 months ago
Intrinsic Dense 3D Surface Tracking
This paper presents a novel intrinsic 3D surface distance and its use in a complete probabilistic tracking framework for dynamic 3D data. Registering two frames of a deforming 3D ...
Yun Zeng, Chaohui Wang, Yang Wang, David Gu, Dimit...
ICASSP
2011
IEEE
14 years 3 months ago
A knapsack problem formulation for relay selection in secure cooperative wireless communication
—Cooperative jamming (CJ) schemes support secure wireless communication in the presence of one or more eavesdroppers. Larger numbers of cooperative relays provide better secrecy ...
Shuangyu Luo, Hana Godrich, Athina P. Petropulu, H...
ICCV
2009
IEEE
16 years 4 months ago
Multiple Kernels for Object Detection
Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search for the object in all possible image subwindows....
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew...
CVPR
1998
IEEE
16 years 1 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan