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» Handling variations and uncertainties
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DAGM
2006
Springer
13 years 10 months ago
Introducing Dynamic Prior Knowledge to Partially-Blurred Image Restoration
Abstract. The paper presents an unsupervised method for partiallyblurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of para...
Hongwei Zheng, Olaf Hellwich
ICIP
2007
IEEE
14 years 10 months ago
Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation
In this paper we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. By following...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ASPDAC
2008
ACM
78views Hardware» more  ASPDAC 2008»
13 years 10 months ago
Handling partial correlations in yield prediction
In nanometer regime, IC designs have to consider the impact of process variations, which is often indicated by manufacturing/parametric yield. This paper investigates a yield model...
Sridhar Varadan, Janet Meiling Wang, Jiang Hu
ICML
2005
IEEE
14 years 9 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
LREC
2010
137views Education» more  LREC 2010»
13 years 10 months ago
Handling of Missing Values in Lexical Acquisition
We propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. It justifies tha...
Núria Bel