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» Sparse Image Reconstruction using Sparse Priors
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KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 4 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
VIS
2007
IEEE
235views Visualization» more  VIS 2007»
16 years 5 months ago
Efficient Surface Reconstruction using Generalized Coulomb Potentials
We propose a novel, geometrically adaptive method for surface reconstruction from noisy and sparse point clouds, without orientation information. The method employs a fast convecti...
Andrei C. Jalba, Jos B. T. M. Roerdink
ICIP
2010
IEEE
15 years 2 months ago
Compressed sensing for aperture synthesis imaging
The theory of compressed sensing has a natural application in interferometric aperture synthesis. As in many real-world applications, however, the assumption of random sampling, w...
Stephan Wenger, Soheil Darabi, Pradeep Sen, Karl-H...
ICML
2010
IEEE
15 years 5 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...
JMLR
2010
195views more  JMLR 2010»
15 years 2 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...