178 search results - page 12 / 36 » Structured Sparse Principal Component Analysis |
CSDA
2008
13 years 7 months ago
2008
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
SIAMJO
2011
13 years 2 months ago
2011
Many applications arising in a variety of fields can be well illustrated by the task of recovering the low-rank and sparse components of a given matrix. Recently, it is discovered...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We present a framework for statistical analysis in large cohorts of structural brain connectivity, derived from diffusion weighted MRI. A brain network is defined betwe...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
We present a novel representation of shape for closed planar contours explicitly designed to possess a linear structure. This greatly simplifies linear operations such as averagin...