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ESWA
2008
127views more  ESWA 2008»
13 years 10 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
SIGIR
2010
ACM
14 years 1 months ago
Probabilistic latent maximal marginal relevance
Diversity has been heavily motivated in the information retrieval literature as an objective criterion for result sets in search and recommender systems. Perhaps one of the most w...
Shengbo Guo, Scott Sanner
ICARCV
2006
IEEE
232views Robotics» more  ICARCV 2006»
14 years 3 months ago
Analysis of Relevance Feedback in Content Based Image Retrieval
: Relevance feedback in Content Based Image Retrieval(CBIR) has been an active field of research for quite some time now. Many schemes and techniques of relevance feedback exist w...
P. Suman Karthik, C. V. Jawahar
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 1 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
CIKM
2008
Springer
13 years 12 months ago
Structural relevance: a common basis for the evaluation of structured document retrieval
This paper presents a unified framework for the evaluation of a range of structured document retrieval (SDR) approaches and tasks. The framework is based on a model of tree retrie...
Mir Sadek Ali, Mariano P. Consens, Gabriella Kazai...