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MM
2009
ACM
185views Multimedia» more  MM 2009»
14 years 1 months ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
ERCIMDL
1997
Springer
169views Education» more  ERCIMDL 1997»
13 years 11 months ago
Relevance Feedback and Query Expansion for Searching the Web: A Model for Searching a Digital Library
: A fully operational large scale digital library is likely to be based on a distributed architecture and because of this it is likely that a number of independent search engines m...
Alan F. Smeaton, Francis Crimmins
ICTIR
2009
Springer
14 years 2 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 26 days ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
MLDM
1999
Springer
13 years 11 months ago
Independent Feature Analysis for Image Retrieval
Content-based image retrieval methods based on the Euclidean metric expect the feature space to be isotropic. They su€er from unequal di€erential relevance of features in comput...
Jing Peng, Bir Bhanu