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» Computational models of classical conditioning
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ECCV
2006
Springer
16 years 4 months ago
An Intensity Similarity Measure in Low-Light Conditions
In low-light conditions, it is known that Poisson noise and quantization noise become dominant sources of noise. While intensity difference is usually measured by Euclidean distanc...
François Alter, Yasuyuki Matsushita, Xiaoou...
115
Voted
ICML
2005
IEEE
16 years 3 months ago
Expectation maximization algorithms for conditional likelihoods
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
129
Voted
ECEASST
2010
15 years 4 days ago
Conditional Adaptive Star Grammars
Abstract. The precise specification of software models is a major concern in model-driven design of object-oriented software. In this paper, we investigate how program graphs, a la...
Berthold Hoffmann
182
Voted
ICDAR
2007
IEEE
15 years 9 months ago
Handwritten Word Recognition Using Conditional Random Fields
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
143
Voted
ICPR
2008
IEEE
16 years 4 months ago
Extraction of shoe-print patterns from impression evidence using Conditional Random Fields
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
Sargur N. Srihari, Veshnu Ramakrishnan