220 search results - page 15 / 44 » Incremental Multiple Kernel Learning for object recognition |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
ACCV
1998
Springer
13 years 11 months ago
1998
Springer
This paper describes a method for recognizing partially occluded objects under different levels of illumination brightness by using the eigenspace analysis. In our previous work, w...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
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...
JMLR
2002
13 years 7 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...