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ICASSP
2007
IEEE
15 years 7 months ago
A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image Retrieval
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Konstantin Shkurko, Xiaojun Qi
ADBIS
2007
Springer
117views Database» more  ADBIS 2007»
15 years 7 months ago
Improving the Performance of M-Tree Family by Nearest-Neighbor Graphs
The M-tree and its variants have been proved to provide an efficient similarity search in database environments. In order to further improve their performance, in this paper we pro...
Tomás Skopal, David Hoksza
ICDM
2006
IEEE
107views Data Mining» more  ICDM 2006»
15 years 7 months ago
Improving Grouped-Entity Resolution Using Quasi-Cliques
The entity resolution (ER) problem, which identifies duplicate entities that refer to the same real world entity, is essential in many applications. In this paper, in particular,...
Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewo...
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
15 years 7 months ago
Scalability Management in Sensor-Network PhenomenaBases
A phenomenon appears in a sensor network when a group of sensors persist to generate similar behavior over a period of time. PhenomenaBases (or databases of phenomena) are equippe...
Mohamed H. Ali, Walid G. Aref, Ibrahim Kamel
75
Voted
CVPR
2010
IEEE
15 years 7 months ago
Line Matching Leveraged By Point Correspondences
A novel method for line matching is proposed. The basic idea is to use tentative point correspondences, which can be easily obtained by keypoint matching methods, to significantly...
Bin Fan, Fuchao Wu, Zhanyi Hu