92 search results - page 2 / 19 » Least Square Incremental Linear Discriminant Analysis |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
We present a new technique that improves upon existing structure from motion (SFM) methods. We propose a SFM algorithm that is both recursive and optimal. Our method incorporates ...
JMLR
2010
13 years 2 days ago
2010
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
BMCBI
2006
13 years 5 months ago
2006
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
ML
2002
ACM
13 years 5 months ago
2002
ACM
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...