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EWRL
2008
14 years 28 days ago
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Kirill Dyagilev, Shie Mannor, Nahum Shimkin
JCP
2007
115views more  JCP 2007»
13 years 11 months ago
Toward The Use Of The Time-Warping Principle With Discrete-Time Sequences
Abstract—This paper establishes a new coherent framework to extend the class of unitary warping operators to the case of discrete–time sequences. Providing some a priori consid...
Arnaud Jarrot, Cornel Ioana, André Quinquis
COLT
2006
Springer
14 years 2 months ago
Logarithmic Regret Algorithms for Online Convex Optimization
In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of points in Euclidean space, from a fixed feasible set. After ea...
Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal
CVPR
2012
IEEE
12 years 1 months ago
Bag of textons for image segmentation via soft clustering and convex shift
We propose an unsupervised image segmentation method based on texton similarity and mode seeking. The input image is first convolved with a filter-bank, followed by soft cluster...
Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu
MM
2009
ACM
187views Multimedia» more  MM 2009»
14 years 3 months ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...