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» The maximum entropy method for analyzing retrieval measures
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CSSE
2008
IEEE
13 years 8 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
ICCBR
2007
Springer
14 years 26 days ago
A Methodology for Analyzing Case Retrieval from a Clustered Case Memory
Abstract. Case retrieval from a clustered case memory consists in finding out the clusters most similar to the new input case, and then retrieving the cases from them. Although th...
Albert Fornells, Elisabet Golobardes, Josep Maria ...
ICIP
2003
IEEE
14 years 8 months ago
Accurate real-time object tracking with linear prediction method
This paper presents an efticient technique for real-time tracking of a single moving object in terrestrial scenes using a stationary camera. The tracking algorithm is based on the...
Phaik Yong Yeoh, Syed A. R. Abu-Bakar
ECCV
2002
Springer
14 years 8 months ago
Resolution Selection Using Generalized Entropies of Multiresolution Histograms
The performances of many image analysis tasks depend on the image resolution at which they are applied. Traditionally, resolution selection methods rely on spatial derivatives of i...
Efstathios Hadjidemetriou, Michael D. Grossberg, S...
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
13 years 10 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang