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ICML
2010
IEEE
13 years 8 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
ICASSP
2010
IEEE
13 years 8 months ago
Supervised topic model for automatic image annotation
This paper presents a new probabilistic model for the task of image annotation. Our model, which we call sLDA-bin, extends supervised Latent Dirichlet Allocation (sLDA) model to h...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
ICASSP
2010
IEEE
13 years 8 months ago
A robust minimum volume enclosing simplex algorithm for hyperspectral unmixing
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
Arul-Murugan Ambikapathi, Tsung-Han Chan, Wing-Kin...
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 7 months ago
A Bayesian Review of the Poisson-Dirichlet Process
The two parameter Poisson-Dirichlet process is also known as the PitmanYor Process and related to the Chinese Restaurant Process, is a generalisation of the Dirichlet Process, and...
Wray L. Buntine, Marcus Hutter
CVIU
2008
82views more  CVIU 2008»
13 years 7 months ago
Shape matching and registration by data-driven EM
In this paper, we present an efficient and robust algorithm for shape matching, registration, and detection. The task is to geometrically transform a source shape to fit a target ...
Zhuowen Tu, Songfeng Zheng, Alan L. Yuille