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» Evaluating Image Retrieval
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140
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ECIR
2010
Springer
15 years 6 months ago
Query Performance Prediction: Evaluation Contrasted with Effectiveness
Query performance predictors are commonly evaluated by reporting correlation coefficients to denote how well the methods perform at predicting the retrieval performance of a set of...
Claudia Hauff, Leif Azzopardi, Djoerd Hiemstra, Fr...
ICCV
1999
IEEE
16 years 7 months ago
Texture-based Image Retrieval without Segmentation
Image segmentation is not only hard and unnecessary for texture-based image retrieval, but can even be harmful. Images of either individual or multiple textures are best described...
Yossi Rubner, Carlo Tomasi
167
Voted
ICAPR
2001
Springer
15 years 9 months ago
Image Retrieval Using a Hierarchy of Clusters
The goal of this paper is to describe an efficient procedure for color-based image retrieval. The proposed procedure consists of two stages. First, the image data set is hierarchi...
Daniela Stan, Ishwar K. Sethi
154
Voted
CSSE
2008
IEEE
15 years 6 months ago
Image Retrieval Based on Bit-Plane Distribution Entropy
Based on the analysis of color histogram for image retrieval, a new descriptor, bit-plane distribution entropy (BPDE), is proposed in this paper. The image is firstly divided into ...
Zhao Shan, Wang Hai-tao
CAI
1998
Springer
15 years 4 months ago
Information Retrieval, Imaging and Probabilistic Logic
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
Fabrizio Sebastiani