80 search results - page 13 / 16 » Learning the Kernel Combination for Object Categorization |
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
SSPR
2010
Springer
13 years 6 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
ICONIP
2008
13 years 9 months ago
2008
Abstract. We present a biologically inspired vision system able to incrementally learn multiple visual categories by interactively presenting several hand-held objects. The overall...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
ICIAP
2009
ACM
14 years 8 months ago
2009
ACM
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...