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ICMLA
2009
13 years 7 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
BIRTHDAY
2008
Springer
14 years 11 hour ago
On Natural Non-dcpo Domains
As Dag Normann has recently shown, the fully abstract model for PCF of hereditarily sequential functionals is not -complete and therefore not continuous in the traditional terminol...
Vladimir Sazonov
ICIP
2010
IEEE
13 years 8 months ago
An aliasing detection algorithm based on suspicious colocalizations of Fourier coefficients
We propose a new algorithm to detect the presence and the localization of aliasing in a single digital image.Considering the image in Fourier domain, the fact that two frequencies...
Baptiste Coulange, Lionel Moisan
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 4 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
ICCV
2007
IEEE
14 years 12 months ago
Penrose Pixels Super-Resolution in the Detector Layout Domain
We present a novel approach to reconstruction based superresolution that explicitly models the detector's pixel layout. Pixels in our model can vary in shape and size, and th...
Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn