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» Sparse Image Reconstruction using Sparse Priors
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ICPR
2010
IEEE
15 years 8 months ago
Microaneurysm (MA) Detection Via Sparse Representation Classifier with MA and Non-MA Dictionary Learning
Diabetic retinopathy (DR) is a common complication of diabetes that damages the retina and leads to sight loss if treated late. In its earliest stage, DR can be diagnosed by microa...
Bob Zhang, Lei Zhang, Jane You, Fakhri Karray
ECCV
2004
Springer
16 years 6 months ago
Sparse Finite Elements for Geodesic Contours with Level-Sets
Level-set methods have been shown to be an effective way to solve optimisation problems that involve closed curves. They are well known for their capacity to deal with flexible top...
Martin Weber, Andrew Blake, Roberto Cipolla
ICPR
2006
IEEE
16 years 5 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
164
Voted
SMI
2006
IEEE
152views Image Analysis» more  SMI 2006»
15 years 10 months ago
A Laplacian Based Approach for Free-Form Deformation of Sparse Low-degree IMplicit Surfaces
Sparse Low-degree IMplicit (SLIM) surface [11] is a recently developed non-conforming surface representation. In this paper, a method for free-form deformation of SLIM surfaces is...
Yutaka Ohtake, Takashi Kanai, Kiwamu Kase
ICML
2006
IEEE
16 years 5 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...