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CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 8 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
ICASSP
2011
IEEE
12 years 11 months ago
Downsampling graphs using spectral theory
In this paper we present methods for downsampling datasets defined on graphs (i.e., graph-signals) by extending downsampling results for traditional N-dimensional signals. In par...
Sunil K. Narang, Antonio Ortega
PAMI
2012
11 years 10 months ago
Color Constancy with Spatio-Spectral Statistics
—We introduce an efficient maximum likelihood approach for one part of the color constancy problem: removing from an image the color cast caused by the spectral distribution of ...
Ayan Chakrabarti, Keigo Hirakawa, Todd Zickler
ICIP
2007
IEEE
14 years 9 months ago
Spatio-Spectral Color Filter Array Design for Enhanced Image Fidelity
In digital imaging applications, data are typically obtained via a spatial subsampling procedure implemented as a color filter array--a physical construction whereby only a single...
Keigo Hirakawa, Patrick J. Wolfe
ICASSP
2011
IEEE
12 years 11 months ago
Variational methods for spectral unmixing of hyperspectral images
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...