110 search results - page 6 / 22 » Stretching Bayesian Learning in the Relevance Feedback of Im... |
ICASSP
2007
IEEE
14 years 3 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
CVPR
1998
IEEE
14 years 11 months ago
1998
IEEE
A new algorithm and systematic evaluation is presented for searching a database via relevance feedback. It represents a new image display strategy for the PicHunter system [2, 1]....
KES
2005
Springer
14 years 2 months ago
2005
Springer
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
PRIS
2001
13 years 10 months ago
2001
: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful ...
CISST
2004
13 years 10 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...