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CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
14 years 1 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
ATAL
2007
Springer
13 years 10 months ago
A reinforcement learning based distributed search algorithm for hierarchical peer-to-peer information retrieval systems
The dominant existing routing strategies employed in peerto-peer(P2P) based information retrieval(IR) systems are similarity-based approaches. In these approaches, agents depend o...
Haizheng Zhang, Victor R. Lesser
ESWS
2004
Springer
14 years 4 days ago
Learning to Harvest Information for the Semantic Web
Abstract. In this paper we describe a methodology for harvesting information from large distributed repositories (e.g. large Web sites) with minimum user intervention. The methodol...
Fabio Ciravegna, Sam Chapman, Alexiei Dingli, Yori...
DL
1998
Springer
180views Digital Library» more  DL 1998»
13 years 11 months ago
Automatic Subject Indexing Using an Associative Neural Network
The global growth in popularity of the World Wide Web has been enabled in part by the availability of browser based search tools which in turn have led to an increased demand for ...
Yi-Ming Chung, William M. Pottenger, Bruce R. Scha...
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 5 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...