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» Textural Features and Relevance Feedback for Image Retrieval
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ICPR
2008
IEEE
16 years 26 days ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
ICITA
2005
IEEE
15 years 5 months ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
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...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
MIR
2004
ACM
113views Multimedia» more  MIR 2004»
15 years 5 months ago
Texture based medical image indexing and retrieval: application to cardiac imaging
Although digital images indexing and querying techniques have extensively been studied for the last years, few systems are dedicated to medical images today while the need for con...
Tristan Glatard, Johan Montagnat, Isabelle E. Magn...
ICIP
1997
IEEE
16 years 1 months ago
Content-Based Image Retrieval with Relevance Feedback in MARS
Yong Rui, Thomas S. Huang, Sharad Mehrotra
CBMS
2003
IEEE
15 years 5 months ago
Retrieval by Content of Medical Images Using Texture for Tissue Identification
This work aims at supporting the retrieval and indexing of medical images by extracting and organizing intrinsic features of them, more specifically texture attributes from images...
Joaquim Cezar Felipe, Agma J. M. Traina, Caetano T...