137 search results - page 21 / 28 » Estimating Entropy and Entropy Norm on Data Streams |
88
Voted
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
One of the main difficulties in computing information theoretic learning (ITL) estimators is the computational complexity that grows quadratically with data. Considerable amount ...
108
Voted
PAMI
2006
14 years 11 months ago
2006
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 ...
ISBI
2006
IEEE
16 years 9 days ago
2006
IEEE
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...
ECCV
2008
Springer
16 years 1 months ago
2008
Springer
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...
105
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SIAMCOMP
2002
14 years 11 months ago
2002
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...