3 search results - page 1 / 1 » Global convergence of Oja's subspace algorithm for principal... |
81
Voted
TNN
1998
14 years 10 months ago
1998
—Oja’s principal subspace algorithm is a well-known and powerful technique for learning and tracking principal information in time series. A thorough investigation of the conve...
115
Voted
IDA
2009
Springer
14 years 8 months ago
2009
Springer
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
CVPR
2003
IEEE
16 years 28 days ago
2003
IEEE
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...