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ICTIR
2009
Springer
15 years 4 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...
MMS
2007
14 years 9 months ago
Evaluating a workspace's usefulness for image retrieval
Image searching is a creative process. We have proposed a novel image retrieval system that supports creative search sessions by allowing the user to organise their search results ...
Jana Urban, Joemon M. Jose
90
Voted
RIAO
2007
14 years 11 months ago
Similarity Beyond Distance Measurement
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
Feng Kang, Rong Jin, Steven C. H. Hoi
ICSM
2009
IEEE
15 years 4 months ago
On the use of relevance feedback in IR-based concept location
Concept location is a critical activity during software evolution as it produces the location where a change is to start in response to a modification request, such as, a bug repo...
Gregory Gay, Sonia Haiduc, Andrian Marcus, Tim Men...
90
Voted
JCO
2010
75views more  JCO 2010»
14 years 8 months ago
A quadratic lower bound for Rocchio's similarity-based relevance feedback algorithm with a fixed query updating factor
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
Zhixiang Chen, Bin Fu, John Abraham