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» Estimating Entropy and Entropy Norm on Data Streams
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ICASSP
2011
IEEE
14 years 1 months ago
An efficient rank-deficient computation of the Principle of Relevant Information
One of the main difficulties in computing information theoretic learning (ITL) estimators is the computational complexity that grows quadratically with data. Considerable amount ...
Luis Gonzalo Sánchez Giraldo, José C...
PAMI
2006
143views more  PAMI 2006»
14 years 9 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
ISBI
2006
IEEE
15 years 10 months ago
Sample dependence correction for order selection in fMRI analysis
Multivariate analysis methods such as independent component analysis (ICA) have been applied to the analysis of functional magnetic resonance imaging (fMRI) data to study the brai...
Tülay Adali, Vince D. Calhoun, Yi-Ou Li
ECCV
2008
Springer
15 years 11 months ago
Calibration from Statistical Properties of the Visual World
What does a blind entity need in order to determine the geometry of the set of photocells that it carries through a changing lightfield? In this paper, we show that very crude know...
Etienne Grossmann, José António Gasp...
SIAMCOMP
2002
152views more  SIAMCOMP 2002»
14 years 9 months ago
Maintaining Stream Statistics over Sliding Windows
We consider the problem of maintaining aggregates and statistics over data streams, with respect to the last N data elements seen so far. We refer to this model as the sliding wind...
Mayur Datar, Aristides Gionis, Piotr Indyk, Rajeev...