A Novel algorithm in relevance feedback in region-based image retrieval system
- Author(s):
- Publication title:
- Storage and Retrieval for Media Databases 2003
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 5021
- Pub. Year:
- 2003
- Page(from):
- 438
- Page(to):
- 445
- Pages:
- 8
- Pub. info.:
- Bellingham, Wash.: SPIE-The International Society for Optical Engineering
- ISSN:
- 0277786X
- ISBN:
- 9780819448217 [0819448214]
- Language:
- English
- Call no.:
- P63600/5021
- Type:
- Conference Proceedings
Similar Items:
1
Conference Proceedings
Relevance feedback using a Bayesian classifier in content-based image retrieval
SPIE-The International Society for Optical Engineering |
7
Conference Proceedings
Retrieval of multi- and hyperspectral images using an interactive relevance feedback form of content-based image retrieval
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
3
Conference Proceedings
Relevance feedback for shape-based pathology in spine x-ray image retrieval [6145-21]
SPIE - The International Society of Optical Engineering |
9
Conference Proceedings
Attribute visualization and relevance feedback in the content-based image retrieval of medical images
SPIE - The International Society of Optical Engineering |
SPIE-The International Society for Optical Engineering |
10
Conference Proceedings
Logistic regression model for relevance feedback in content-based image retrieval
SPIE-The International Society for Optical Engineering |
5
Conference Proceedings
Incorporating negative examples in one-class SVM for relevance feedback in image retrieval
SPIE-The International Society for Optical Engineering |
11
Conference Proceedings
Feature-adaptive relevance feedback (FA-RF) for content-based image retrieval
SPIE - The International Society of Optical Engineering |
SPIE-The International Society for Optical Engineering |
12
Conference Proceedings
Relevance Feedback in Image Retrieval: A New Approach using Positive and Negative Examples
SPIE-The International Society for Optical Engineering |