554 search results - page 91 / 111 » Lattice Independent Component Analysis for fMRI Analysis |
FORTE
1994
13 years 10 months ago
1994
Critical safety and liveness properties of a concurrent system can often be proven with the help of a reachability analysis of a finite state model. This type of analysis is usual...
BMCBI
2010
13 years 9 months ago
2010
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
PAMI
2002
13 years 8 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
BMCBI
2010
13 years 9 months ago
2010
Background: Many analyses of microarray association studies involve permutation, bootstrap resampling and crossvalidation, that are ideally formulated as embarrassingly parallel c...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...