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ICIP
2006
IEEE
16 years 7 months ago
Wavelet Denoising of Multicomponent Images, using a Noise-Free Image
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. T...
Paul Scheunders, Steve De Backer
JMLR
2006
136views more  JMLR 2006»
15 years 5 months ago
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
Tonatiuh Peña Centeno, Neil D. Lawrence
CORR
2010
Springer
169views Education» more  CORR 2010»
15 years 5 months ago
Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques from Noisy Measurements
This paper examines the ability of greedy algorithms to estimate a block sparse parameter vector from noisy measurements. In particular, block sparse versions of the orthogonal mat...
Zvika Ben-Haim, Yonina C. Eldar
ICASSP
2008
IEEE
16 years 3 days ago
Signal masking in Gaussian channels
We consider the problem of modifying the noise properties of a channel in order to make the source as indecipherable as possible given the output. Applications include jamming com...
John A. Quinn, Christopher K. I. Williams
STOC
2007
ACM
112views Algorithms» more  STOC 2007»
16 years 6 months ago
Smooth sensitivity and sampling in private data analysis
We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
Kobbi Nissim, Sofya Raskhodnikova, Adam Smith