59 search results - page 7 / 12 » Sparse Higher-Order Principal Components Analysis |
TREC
2000
13 years 11 months ago
2000
The main goal for the Information Space system for TREC9 was early precision. To facilitate this, an emphasis was placed on seeking matches from only the TITLE, H1, H2 and H3 tags...
ICCV
1995
IEEE
14 years 1 months ago
1995
IEEE
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
ORL
2011
13 years 4 months ago
2011
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
ICPR
2002
IEEE
14 years 11 months ago
2002
IEEE
The use of higher order autocorrelations as features for pattern classification has been usually restricted to second or third orders due to high computational costs. Since the au...
ICMCS
2005
IEEE
14 years 3 months ago
2005
IEEE
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...