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ECCV
2004
Springer
15 years 11 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
IPSN
2005
Springer
15 years 3 months ago
A scheme for robust distributed sensor fusion based on average consensus
— We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a si...
Lin Xiao, Stephen P. Boyd, Sanjay Lall
TIP
2002
129views more  TIP 2002»
14 years 9 months ago
A vision-based masking model for spread-spectrum image watermarking
Abstract-- We present a perceptual model for hiding a spreadspectrum watermark of variable amplitude and density in an image. The model takes into account the sensitivity and maski...
Martin Kutter, Stefan Winkler
ICIP
2009
IEEE
14 years 7 months ago
A compressive-sensing based watermarking scheme for sparse image tampering identification
In this paper we describe a robust watermarking scheme for image tampering identification and localization. A compact representation of the image is first produced by assembling a...
Giuseppe Valenzise, Marco Tagliasacchi, Stefano Tu...
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
15 years 10 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...