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SCALESPACE
2007
Springer
15 years 10 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
TCBB
2008
126views more  TCBB 2008»
15 years 3 months ago
Graphical Models of Residue Coupling in Protein Families
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
John Thomas, Naren Ramakrishnan, Chris Bailey-Kell...
JMLR
2006
138views more  JMLR 2006»
15 years 3 months ago
Noisy-OR Component Analysis and its Application to Link Analysis
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
Tomás Singliar, Milos Hauskrecht
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
ICRA
2008
IEEE
144views Robotics» more  ICRA 2008»
15 years 10 months ago
Interacting multiple model monocular SLAM
— Recent work has demonstrated the benefits of adopting a fully probabilistic SLAM approach in sequential motion and structure estimation from an image sequence. Unlike standard...
Javier Civera, Andrew J. Davison, J. M. M. Montiel