835 search results - page 1 / 167 » Optimal Linear Representations of Images for Object Recognit... |
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
Although linear representations are frequently used in image analysis, their performances are seldom optimal in specific applications. This paper proposes a stochastic gradient al...
ICMLA
2007
13 years 6 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
CVPR
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper we show that Ullman and Basri’s linear combination (LC) representation, which was originally proposed for alignment-based object recognition, can be used for outli...