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ICASSP
2010
IEEE
15 years 1 months ago
Fundamental limits of image denoising: Are we there yet?
In this paper, we study the fundamental performance limits of image denoising where the aim is to recover the original image from its noisy observation. Our study is based on a ge...
Priyam Chatterjee, Peyman Milanfar
CORR
2007
Springer
169views Education» more  CORR 2007»
15 years 24 days ago
Algorithmic Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
Alexey V. Chernov, Marcus Hutter, Jürgen Schm...
105
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AUTOMATICA
2002
93views more  AUTOMATICA 2002»
15 years 20 days ago
Hybrid state estimation: a target tracking application
In this paper we present a framework in which the general hybrid filtering or state estimation problem can be formulated. The problem of joint tracking and classification can be f...
Yvo Boers, Hans Driessen
SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
15 years 2 months ago
Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
Shuguo Han, Wee Keong Ng
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 5 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...