725 search results - page 16 / 145 » Invariances in kernel methods: From samples to objects |
DAGM
2004
Springer
14 years 1 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...
CVPR
2003
IEEE
14 years 9 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...
ICIP
2005
IEEE
14 years 9 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...
ADMA
2006
Springer
14 years 1 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...
ICPR
2008
IEEE
14 years 2 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...