Sciweavers

1004 search results - page 48 / 201
» A comparison of generalized linear discriminant analysis alg...
Sort
View
PAMI
2012
11 years 11 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
PEPM
2010
ACM
14 years 5 months ago
Optimizing relational algebra operations using generic equivalence discriminators and lazy products
We show how to efficiently evaluate generic map-filter-product queries, generalizations of select-project-join (SPJ) queries in relational algebra, based on a combination of two...
Fritz Henglein
BMCBI
2008
164views more  BMCBI 2008»
13 years 8 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke
CVPR
1996
IEEE
14 years 25 days ago
Pattern Rejection
The e ciency of pattern recognition is particularly crucial in two scenarios; whenever there are a large number of classes to discriminate, and, whenever recognition must be perfo...
Simon Baker, Shree K. Nayar
CVPR
2003
IEEE
14 years 10 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma