159 search results - page 3 / 32 » Learning weighted distances for relevance feedback in image ... |
CISST
2004
13 years 8 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...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
CIVR
2005
Springer
14 years 1 months ago
2005
Springer
We analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavio...
ISCIS
2009
Springer
14 years 2 months ago
2009
Springer
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
IJIG
2002
13 years 7 months ago
2002
In this paper, a sub-vector weighting scheme is proposed for the case of small sample in image retrieval with relevance feedback. By partitioning a multi-dimensional visual featur...