503 search results - page 15 / 101 » Learning Semantic Concepts from Visual Data Using Neural Net... |
WAPCV
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
82
Voted
IJCNN
2008
IEEE
15 years 3 months ago
2008
IEEE
— The operation of V1 simple cells in primates has been traditionally modelled with linear models resembling Gabor filters, whereas the functionality of subsequent visual cortic...
105
click to vote
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a simple framework to model contextual
relationships between visual concepts. The new framework
combines ideas from previous object-centric methods
(which model conte...
ANNPR
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...