225 search results - page 13 / 45 » A Semi-Supervised Active Learning Framework for Image Retrie... |
CISST
2004
13 years 9 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
Combining learning with vision techniques in interactive image retrieval has been an active research topic during the past few years. However, existing learning techniques either ...
MICCAI
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
BDA
2007
13 years 9 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...