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ICDE
2006
IEEE
194views Database» more  ICDE 2006»
16 years 3 months ago
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
SISAP
2008
IEEE
98views Data Mining» more  SISAP 2008»
15 years 8 months ago
On Reinsertions in M-tree
In this paper we introduce a new M-tree building method, utilizing the classic idea of forced reinsertions. In case a leaf is about to split, some distant objects are removed from...
Jakub Lokoc, Tomás Skopal
113
Voted
DEXA
2003
Springer
193views Database» more  DEXA 2003»
15 years 7 months ago
Supporting KDD Applications by the k-Nearest Neighbor Join
Abstract. The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such t...
Christian Böhm, Florian Krebs
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
15 years 8 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
BMCBI
2007
153views more  BMCBI 2007»
15 years 1 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...