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» Learning from Highly Structured Data by Decomposition
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ICML
2004
IEEE
15 years 11 months ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
KDD
2002
ACM
154views Data Mining» more  KDD 2002»
15 years 10 months ago
Mining Protein Contact Maps
The 3D conformation of a protein may be compactly represented in a symmetrical, square, boolean matrix of pairwise, inter-residue contacts, or "contact map". The contact...
Jingjing Hu, Xiaolan Shen, Yu Shao, Chris Bystroff...
84
Voted
BMCBI
2008
123views more  BMCBI 2008»
14 years 10 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
ISBI
2002
IEEE
15 years 11 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
87
Voted
PVLDB
2008
121views more  PVLDB 2008»
14 years 9 months ago
QueryScope: visualizing queries for repeatable database tuning
Reading and perceiving complex SQL queries has been a time consuming task in traditional database applications for decades. When it comes to decision support systems with automati...
Ling Hu, Kenneth A. Ross, Yuan-Chi Chang, Christia...