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» Learning How to Inpaint from Global Image Statistics
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MICCAI
2003
Springer
14 years 6 months ago
A Statistically Based Surface Evolution Method for Medical Image Segmentation: Presentation and Validation
Abstract. In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on mini...
Eric Pichon, Allen Tannenbaum, Ron Kikinis
ICML
2010
IEEE
13 years 6 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
ISBI
2002
IEEE
14 years 6 months ago
Statistical shape model for automatic skull-stripping of brain images
This paper presents a statistical shape model for automatic skull stripping of MR brain images. A surface model of the brain boundary is hierarchically represented by a set of ove...
Zhiqiang Lao, Dinggang Shen, Christos Davatzikos
SCALESPACE
2007
Springer
13 years 11 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
FGR
2000
IEEE
147views Biometrics» more  FGR 2000»
13 years 9 months ago
Hallucinating Faces
In this paper, we study face hallucination or synthesizing a high-resolution face image from a low-resolution input, with the help of a large collection of other highresolution fa...
Simon Baker, Takeo Kanade