725 search results - page 16 / 145 » Invariances in kernel methods: From samples to objects |
141
Voted
DAGM
2004
Springer
15 years 10 months ago
2004
Springer
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
159
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CVPR
2003
IEEE
16 years 7 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
169
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ICIP
2005
IEEE
16 years 6 months ago
2005
IEEE
This paper deals with the performance evaluation of three object invariant descriptors : Hu moments, Zernike moments and Fourier-Mellin descriptors. Experiments are conducted on a...
135
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ADMA
2006
Springer
15 years 11 months ago
2006
Springer
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
143
Voted
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper proposes a method for constructing a discriminative rotation invariant object recognition system from the set of complex moments by using a multi-class boosting algorit...