110 search results - page 16 / 22 » Stretching Bayesian Learning in the Relevance Feedback of Im... |
BDA
2007
13 years 10 months ago
2007
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
WWW
2009
ACM
14 years 9 months ago
2009
ACM
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
MM
2004
ACM
14 years 2 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
CLEF
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. In this report, we describe our studies with cross language and interactive image retrieval in ImageCLEF 2004. Typical cross language retrieval requires special linguisti...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...