2949 search results - page 105 / 590 » Universal Sparse Modeling |
109
click to vote
TMI
2008
15 years 5 days ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
106
Voted
ICIP
2010
IEEE
14 years 10 months ago
2010
IEEE
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
133
click to vote
JMLR
2012
13 years 3 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
70
Voted
NIPS
2007
15 years 2 months ago
2007
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
ISBI
2006
IEEE
16 years 1 months ago
2006
IEEE
Cardiac magnetic resonance imaging (MRI) has demonstrated to be the most accurate and reproducible tool for assessment of the cardiovascular system.Traditional quantification meth...