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ICASSP
2010
IEEE
13 years 7 months ago
Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
Thomas J. Riedl, Andrew C. Singer, Jun Won Choi
ISSTA
2012
ACM
11 years 11 months ago
ViewPoints: differential string analysis for discovering client- and server-side input validation inconsistencies
Since web applications are easily accessible, and often store a large amount of sensitive user information, they are a common target for attackers. In particular, attacks that foc...
Muath Alkhalaf, Shauvik Roy Choudhary, Mattia Fazz...
AAAI
2010
13 years 10 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
ICIP
2000
IEEE
14 years 26 days ago
Modelling Profiles with a Mixture of Gaussians
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
James Orwell, Darrel Greenhill, Jonathan D. Rymel,...
DMTCS
2002
108views Mathematics» more  DMTCS 2002»
13 years 8 months ago
The height of q-Binary Search Trees
Abstract. q
Michael Drmota, Helmut Prodinger