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» Objective Functions for Feature Discrimination
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CVPR
2007
IEEE
15 years 28 days ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
DAGM
1995
Springer
14 years 2 months ago
Learning Weights in Discrimination Functions Using a priori Constraints
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
Norbert Krüger
CVPR
2004
IEEE
14 years 2 months ago
Visual Object Categorization Using Distance-Based Discriminant Analysis
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
PAMI
2000
112views more  PAMI 2000»
13 years 10 months ago
A Noise-Adaptive Discriminant Function and Its Application to Blurred Machine-Printed Kanji Recognition
Accurate recognition of blurred images is a practical but hitherto mostly overlooked problem. In this paper, we quantify the level of noise in blurred images and propose a new modi...
Shinichiro Omachi, Fang Sun, Hirotomo Aso
DAGM
2005
Springer
14 years 4 months ago
Improving a Discriminative Approach to Object Recognition Using Image Patches
In this paper we extend a method that uses image patch histograms and discriminative training to recognize objects in cluttered scenes. The method generalizes and performs well for...
Thomas Deselaers, Daniel Keysers, Hermann Ney