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CORR
2007
Springer
167views Education» more  CORR 2007»
13 years 7 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
CVPR
2007
IEEE
14 years 9 months ago
Shape Representation and Registration using Vector Distance Functions
This paper introduces a new method for shape registration by matching vector distance functions. The vector distance function representation is more flexible than the conventional...
Hossam E. Abd El Munim, Aly A. Farag
ICDE
2007
IEEE
103views Database» more  ICDE 2007»
14 years 9 months ago
TCAM-conscious Algorithms for Data Streams
Recently, there has been significant interest in developing space and time efficient solutions for answering continuous summarization queries over data streams. While these techni...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...
GIS
2007
ACM
14 years 8 months ago
Exploiting automatically inferred constraint-models for building identification in satellite imagery
The building identification (BID) problem is based on a process that uses publicly available information to automatically assign addresses to buildings in satellite imagery. In pr...
Martin Michalowski, Craig A. Knoblock, Kenneth M. ...
ICML
2007
IEEE
14 years 8 months ago
Full regularization path for sparse principal component analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...