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ICML
2008
IEEE
16 years 7 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
ICML
2008
IEEE
16 years 7 months ago
A least squares formulation for canonical correlation analysis
Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projects both sets of variables int...
Liang Sun, Shuiwang Ji, Jieping Ye
ICML
2005
IEEE
16 years 7 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
ICSE
2009
IEEE-ACM
16 years 7 months ago
How we refactor, and how we know it
Much of what we know about how programmers refactor in the wild is based on studies that examine just a few software projects. Researchers have rarely taken the time to replicate ...
Emerson R. Murphy-Hill, Chris Parnin, Andrew P. Bl...
ISBI
2008
IEEE
16 years 7 months ago
Non-tracking-based 2D strain estimation in tagged MRI
Tagged MRI is a non-invasive technique to assess myocardial deformations. In this paper, we developed a novel non-tracking-based strain estimation method for tagged MRI. This meth...
Zhen Qian, Dimitris N. Metaxas, Leon Axel