225 search results - page 19 / 45 » A Semi-Supervised Active Learning Framework for Image Retrie... |
CVPR
2012
IEEE
12 years 22 days ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...
MIR
2005
ACM
14 years 1 months ago
2005
ACM
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
CIVR
2003
Springer
14 years 22 days ago
2003
Springer
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
NIPS
1997
13 years 8 months ago
1997
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...