2903 search results - page 103 / 581 » The Dark Side of Object Learning: Learning Objects |
107
Voted
CVPR
2004
IEEE
16 years 2 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...
103
click to vote
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
105
Voted
ICANN
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
OTM
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. This paper presents a knowledge-based approach to eLearning, where the domain ontology plays central role as a resource structuring the learning content and supporting ï¬...
96
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key ...