345 search results - page 1 / 69 » Multiclass Object Recognition with Sparse, Localized Feature... |
82
Voted
CVPR
2006
IEEE
16 years 27 days ago
2006
IEEE
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
IJCV
2008
14 years 11 months ago
2008
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
91
Voted
IJCNN
2008
IEEE
15 years 5 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
86
Voted
BMVC
1998
15 years 7 days ago
1998
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
ECCV
2006
Springer
16 years 23 days ago
2006
Springer
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...