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ICCV
2003
IEEE
16 years 3 months ago
Learning How to Inpaint from Global Image Statistics
Inpainting is the problem of filling-in holes in images. Considerable progress has been made by techniques that use the immediate boundary of the hole and some prior information o...
Anat Levin, Assaf Zomet, Yair Weiss
CORR
2008
Springer
189views Education» more  CORR 2008»
15 years 1 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
TCS
2010
14 years 12 months ago
Active learning in heteroscedastic noise
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
András Antos, Varun Grover, Csaba Szepesv&a...
ESOP
2011
Springer
14 years 5 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
WWW
2001
ACM
16 years 2 months ago
Supporting Health Sciences Education with Ims-Based Multimedia Repository
Recently, the IMS Learning Resource Meta-Data Specification [1] was released, paving the way for efficient repurposing of educational multimedia in a multitude of learning environ...
Sebastian Uijtdehaage, Chris Candler, Sharon E. De...