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» Information measures for infinite sequences
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ICML
2007
IEEE
14 years 8 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
RECOMB
2003
Springer
14 years 7 months ago
A multi-expert system for the automatic detection of protein domains from sequence information
We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are ...
Niranjan Nagarajan, Golan Yona
AVI
2008
13 years 9 months ago
Timeline trees: visualizing sequences of transactions in information hierarchies
In many applications transactions between the elements of an information hierarchy occur over time. For example, the product offers of a department store can be organized into pro...
Michael Burch, Fabian Beck, Stephan Diehl
ICIP
2009
IEEE
13 years 5 months ago
Dynamic texture synthesis using a spatial temporal descriptor
Dynamic textures are image sequences with visual pattern repetition in time and space, such as smoke, flames, moving objects and so on. Dynamic texture synthesis is to provide a c...
Yimo Guo, Guoying Zhao, Jie Chen, Matti Pietik&aum...
ICASSP
2011
IEEE
12 years 11 months ago
A new video similarity measure model based on video time density function and dynamic programming
In this paper, we propose a novel video similarity measure model using video time density function (VTDF) and dynamic programming. First, we employ VTDF to describe the density of...
Junfeng Jiang, Xiao-Ping Zhang, Alexander C. Loui