217 search results - page 16 / 44 » Instance-Based Relevance Feedback for Image Retrieval |
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
Content-based image retrievalsystems use low-levelfeatures like color and texturefor image representation. Given these representationsasfeature vectors, similarity between images ...
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...
TKDE
2008
13 years 7 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...
MM
2009
ACM
14 years 2 months ago
2009
ACM
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
ICITA
2005
IEEE
14 years 1 months ago
2005
IEEE
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...