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CIVR
2006
Springer
181views Image Analysis» more  CIVR 2006»
15 years 2 months ago
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
Mark J. Huiskes
ICITA
2005
IEEE
15 years 4 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
2005
ACM
176views Multimedia» more  MIR 2005»
15 years 4 months ago
Hybrid visual and conceptual image representation within active relevance feedback context
Many of the available image databases have keyword annotations associated with the images. In spite of the availability of good quality low-level visual features that reflect wel...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
15 years 2 months ago
Non-linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 4 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen