11 search results - page 1 / 3 » Informative Feature Selection for Object Recognition via Spa... |
80
Voted
ICCV
2011
IEEE
13 years 10 months ago
2011
IEEE
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
89
Voted
CVPR
2008
IEEE
16 years 8 days ago
2008
IEEE
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
86
Voted
IJCV
2008
14 years 10 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...
81
Voted
CVPR
2006
IEEE
16 years 8 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...
115
Voted
ICCV
2011
IEEE
13 years 10 months ago
2011
IEEE
We present an approach for dictionary learning of action attributes via information maximization. We unify the class distribution and appearance information into an objective func...