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» Models for Incomplete and Probabilistic Information
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AIME
2007
Springer
15 years 8 months ago
Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes
Abstract. Disease processes in patients are temporal in nature and involve uncertainty. It is necessary to gain insight into these processes when aiming at improving the diagnosis,...
Stefan Visscher, Peter J. F. Lucas, Ildikó ...
CSFW
2012
IEEE
13 years 6 months ago
Measuring Information Leakage Using Generalized Gain Functions
Abstract—This paper introduces g-leakage, a rich generalization of the min-entropy model of quantitative information flow. In g-leakage, the benefit that an adversary derives f...
Mário S. Alvim, Konstantinos Chatzikokolaki...
DAS
2010
Springer
15 years 2 months ago
Information extraction by finding repeated structure
Repetition of layout structure is prevalent in document images. In document design, such repetition conveys the underlying logical and functional structure of the data. For exampl...
Evgeniy Bart, Prateek Sarkar
ICASSP
2011
IEEE
14 years 8 months ago
Multistream speaker diarization through Information Bottleneck system outputs combination
Speaker diarization of meetings recorded with Multiple Distant Microphones makes extensive use of multiple feature streams like MFCC and Time Delay of Arrivals (TDOA). Typically t...
Deepu Vijayasenan, Fabio Valente, Petr Motlí...
CLEF
2009
Springer
15 years 5 months ago
Unsupervised Word Decomposition with the Promodes Algorithm
We present Promodes, an algorithm for unsupervised word decomposition, which is based on a probabilistic generative model. The model considers segment boundaries as hidden variable...
Sebastian Spiegler, Bruno Golénia, Peter A....