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Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
brain reading structured sparsity convex optimization sparse hierarchical models inter-subject validation proximal methods
2011/6/16
Inverse inference, or “brain reading”, is a recent paradigm for analyzing functional magnetic resonance imaging (fMRI) data, based on pattern recognition and statistical learning. By predicting some c...
Multi-Scale and Hidden Resolution Time Series Models
Autoregressive models Bayesian inference Combination of multiresolution information Jerey rule of conditioning
2009/9/21
We introduce a class of multi-scale models for time series. The novel framework couples standard linear models at dierent levels of resolution via stochastic links across scales. Jerey rule of conditi...
Treelets——An adaptive multi-scale basis for sparse unordered data
Feature selection dimensionality reduction multi-resolution analysis local best basis sparsity principal component analysis
2010/4/30
In many modern applications, including analysis of gene expression
and text documents, the data are noisy, high-dimensional, and
unordered—with no particular meaning to the given order of the variab...