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» Submodular Optimization under Noise
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ICIP
2010
IEEE
13 years 7 months ago
Image quantization under spatial smoothness constraints
Quantization, defined as the act of attributing a finite number of grey-levels to an image, is an essential task in image acquisition and coding. It is also intricately linked to ...
Anna Jezierska, Caroline Chaux, Hugues Talbot, Jea...
ICIP
2000
IEEE
14 years 11 months ago
Spatially Adaptive Image Denoising Under OverComplete Expansion
This paper presents a novel wavelet-based image denoising algorithm under overcomplete expansion. In order to optimize the denoising performance, we make a systematic study of bot...
Xin Li, Michael T. Orchard
CSDA
2008
112views more  CSDA 2008»
13 years 10 months ago
Robustness of Fourier estimator of integrated volatility in the presence of microstructure noise
The finite sample properties of the Fourier estimator of integrated volatility under market microstructure noise are studied. Analytic expressions for the bias and the mean square...
M. E. Mancino, S. Sanfelici
ICCV
2007
IEEE
14 years 11 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
PODS
2010
ACM
306views Database» more  PODS 2010»
14 years 2 months ago
Optimizing linear counting queries under differential privacy
Differential privacy is a robust privacy standard that has been successfully applied to a range of data analysis tasks. But despite much recent work, optimal strategies for answe...
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Mikla...