Sciweavers

296 search results - page 16 / 60
» Transformation invariant component analysis for binary image...
Sort
View
ICIP
2004
IEEE
15 years 18 days ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
ICIP
2001
IEEE
15 years 17 days ago
Extraction of rotation invariant signature based on fractal geometry
In this paper, a new method of feature extraction with rotation invariant property is presented. One of the main contributions of this study is that a rotation invariant signature...
Yu Tao, Thomas R. Ioerger, Yuan Yan Tang
IJCNN
2000
IEEE
14 years 3 months ago
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
Xuequn Li, Irwin King
CORR
2007
Springer
183views Education» more  CORR 2007»
13 years 11 months ago
A complete set of rotationally and translationally invariant features for images
We propose a new set of rotationally and translationally invariant features for image or pattern recognition and classification. The new features are cubic polynomials in the pix...
Risi Imre Kondor
PR
2006
115views more  PR 2006»
13 years 11 months ago
Diagonal principal component analysis for face recognition
In this paper, a novel subspace method called diagonal principal component analysis (DiaPCA) is proposed for face recognition. In contrast to standard PCA, DiaPCA directly seeks t...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen