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ESANN
2008
13 years 9 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...
ICASSP
2009
IEEE
14 years 2 months ago
Visual saliency with side information
We propose novel algorithms for organizing large image and video datasets using both the visual content and the associated sideinformation, such as time, location, authorship, and...
Wei Jiang, Lexing Xie, Shih-Fu Chang
ICRA
2009
IEEE
121views Robotics» more  ICRA 2009»
14 years 2 months ago
Learning sequential visual attention control through dynamic state space discretization
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
Ali Borji, Majid Nili Ahmadabadi, Babak Nadjar Ara...
AIHC
2007
Springer
14 years 1 months ago
Trajectory-Based Representation of Human Actions
This work addresses the problem of human action recognition by introducing a representation of a human action as a collection of short trajectories that are extracted in areas of ...
Antonios Oikonomopoulos, Ioannis Patras, Maja Pant...
CVPR
2009
IEEE
15 years 2 months ago
Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline...
Abhinav Gupta (University of Maryland), Praveen Sr...