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CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 7 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
ICML
2005
IEEE
14 years 8 months ago
An efficient method for simplifying support vector machines
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
DucDung Nguyen, Tu Bao Ho
TMI
2010
175views more  TMI 2010»
13 years 2 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
ALT
2009
Springer
14 years 4 months ago
Complexity versus Agreement for Many Views
Abstract. The paper considers the problem of semi-supervised multiview classification, where each view corresponds to a Reproducing Kernel Hilbert Space. An algorithm based on co-...
Odalric-Ambrym Maillard, Nicolas Vayatis
ICPR
2008
IEEE
14 years 2 months ago
Finding the splitting vector for image resolution up-conversion
This paper proposes a new single-frame image upconversion approach that uses prior information. The proposed method overcomes the drawbacks of the Kondo 2001 where the class membe...
Xinyu Xu, Hao Pan