67 search results - page 1 / 14 » Long term learning for image retrieval over networks |
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
ECCV
2000
Springer
14 years 6 months ago
2000
Springer
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
TKDE
2008
13 years 4 months ago
2008
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
NEUROSCIENCE
2001
Springer
13 years 9 months ago
2001
Springer
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...