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151
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ICCV
2007
IEEE
16 years 5 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
ICASSP
2009
IEEE
15 years 10 months ago
A hybrid method for deconvolution of Bernoulli-Gaussian processes
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertü...
129
Voted
CAISE
1994
Springer
15 years 7 months ago
A Collaborative Process-Centered Environment Kernel
The Collaborative Process-Centered Environment project (CPCE) aims at applying process modeling approach and technology to a given class of collaborative applications. The challeng...
Jacques Lonchamp
134
Voted
CVPR
2011
IEEE
14 years 7 months ago
Visual textures as realizations of multivariate log-Gaussian Cox processes
In this paper, we address invariant keypoint-based texture characterization and recognition. Viewing keypoint sets associated with visual textures as realizations of point process...
Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
131
Voted
ESANN
2006
15 years 5 months ago
Stochastic Processes for Canonical Correlation Analysis
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
Colin Fyfe, Gayle Leen