515 search results - page 10 / 103 » Learning Image Components for Object Recognition |
110
click to vote
CVPR
2003
IEEE
16 years 1 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...
83
Voted
DAGM
2005
Springer
15 years 5 months ago
2005
Springer
In this paper we present VOCUS: a robust computational attention system for goal-directed search. A standard bottom-up architecture is extended by a top-down component, enabling th...
72
Voted
ECTEL
2008
Springer
15 years 1 months ago
2008
Springer
This paper presents a quantitative analysis of the reuse of learning objects in real world settings. The data for this analysis was obtained from three sources: Connexions' mo...
92
Voted
CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
120
click to vote
SCIA
2005
Springer
15 years 5 months ago
2005
Springer
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...