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CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
16 years 5 days 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
KIVS
2005
Springer
16 years 3 days ago
Caching for Improved Retrieval in Peer-to-Peer Networks
: In modern information systems the dominant retrieval paradigms have shifted from exact matching towards retrieving a list of the most relevant objects. This is because users usua...
Wolf-Tilo Balke, Wolfgang Nejdl, Wolf Siberski, Uw...
CLEF
2004
Springer
16 years 20 hour ago
Medical Image Retrieval Using Texture, Locality and Colour
We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed. We used textur...
Peter Howarth, Alexei Yavlinsky, Daniel Heesch, St...
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ICMCS
2000
IEEE
137views Multimedia» more  ICMCS 2000»
15 years 11 months ago
Automatic Query Generation for Content-Based Image Retrieval
We describe a subsystem of a content-based image retrieval (CBIR) environment that supports a user in the definition of image similarity. Out of a single image or a set of query i...
Christian Breiteneder, Horst Eidenberger
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
15 years 11 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...