163 search results - page 15 / 33 » Learning universal probabilistic models for fault localizati... |
112
Voted
COLT
2005
Springer
15 years 9 months ago
2005
Springer
We examine a Markovian model for the price evolution of a stock, in which the probability of local upward or downward movement is arbitrarily dependent on the current price itself...
128
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SCVMA
2004
Springer
15 years 8 months ago
2004
Springer
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
121
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NGITS
1995
Springer
15 years 7 months ago
1995
Springer
This paper investigates the problem ofautomatically learning declarative models of information sources available on the Internet. We report on ILA, a domain-independent program th...
114
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ACCV
2010
Springer
14 years 10 months ago
2010
Springer
Part Models Pablo Sala1 , Diego Macrini2 , and Sven Dickinson1 1 University of Toronto, 2 Queen's University Abstract. In recent work [1], we introduced a framework for modelr...
127
Voted
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...