2100 search results - page 151 / 420 » Learning to rank on graphs |
162
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SODA
2001
ACM
15 years 7 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
168
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ICMLA
2009
15 years 4 months ago
2009
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
147
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ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
172
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ICPR
2010
IEEE
15 years 10 months ago
2010
IEEE
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
157
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FLAIRS
2001
15 years 7 months ago
2001
We introduce the graph-based relational concept learner SubdueCL. We start with a brief description of other graph-based learning systems: the Galois lattice, Conceptual Graphs, a...