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» Combining Simple Discriminators for Object Discrimination
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ICIP
2006
IEEE
14 years 10 months ago
Variational Textured Image Decomposition with Improved Edge Segregation
Image decomposition consists of splitting an image into two or more components. One component is piecewise smooth and models object shapes. Another component consists of the textu...
Reza Shahidi, Cecilia Moloney
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 3 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
ICDAR
2003
IEEE
14 years 2 months ago
Writer Identification using Innovative Binarised Features of Handwritten Numerals
The objective of this paper is to present a number of features that can be extracted from handwritten digits and used for author verification or identification of a person’s han...
Graham Leedham, Sumit Chachra
AVSS
2009
IEEE
14 years 5 days ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
ESANN
2007
13 years 10 months ago
A novel kernel-based method for local pattern extraction in random process signals
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
Majid Beigi, Andreas Zell