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» Visual Data Mining in Large Geospatial Point Sets
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PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
IV
2008
IEEE
296views Visualization» more  IV 2008»
15 years 7 months ago
Revealing Subnetwork Roles using Contextual Visualization: Comparison of Metabolic Networks
This article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The v...
Romain Bourqui, Fabien Jourdan
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
15 years 5 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
15 years 2 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 5 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp