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AAAI
2010
13 years 8 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
UAI
1997
13 years 8 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
COMAD
2009
13 years 8 months ago
A Simple and Scalable Filter for XML Streams
XML stream querying problem involves evaluating a given, potentially large, set of query expressions on a continuous stream of XML messages. Since the messages arrive continuously...
Abdul Nizar, G. Suresh Babu, P. Sreenivasa Kumar
ECCV
2010
Springer
13 years 7 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
CGF
2010
111views more  CGF 2010»
13 years 7 months ago
One Point Isometric Matching with the Heat Kernel
A common operation in many geometry processing algorithms consists of finding correspondences between pairs of shapes by finding structure-preserving maps between them. A particul...
Maks Ovsjanikov, Quentin Mérigot, Facundo M...