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FMCAD
2009
Springer
14 years 3 months ago
Synthesizing robust systems
—Many specifications include assumptions on the environment. If the environment satisfies the assumptions then a correct system reacts as intended. However, when the environmen...
Roderick Bloem, Karin Greimel, Thomas A. Henzinger...
ICASSP
2008
IEEE
14 years 3 months ago
Robust image registration with illumination, blur and noise variations for super-resolution
Super-resolution reconstruction algorithms assume the availability of exact registration and blur parameters. Inaccurate estimation of these parameters adversely affects the quali...
Himanshu Arora, Anoop M. Namboodiri, C. V. Jawahar
ICIAP
2007
ACM
14 years 2 months ago
Robust Face Matching Under Large Occlusions
Outliers due to occlusions and contrast and offset signal deviations notably hinder recognition and retrieval of facial images. We propose a new maximum likelihood matching score ...
Georgy L. Gimel'farb, Patrice Delmas, John Morris,...
KDD
1995
ACM
216views Data Mining» more  KDD 1995»
14 years 1 days ago
Robust Decision Trees: Removing Outliers from Databases
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
George H. John
ICCV
2007
IEEE
14 years 10 months ago
pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm
We introduce the Tsallis divergence error measure in the context of pLSA matrix and tensor decompositions showing much improved performance in the presence of noise. The focus of ...
Tamir Hazan, Roee Hardoon, Amnon Shashua