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DEXA
2006
Springer
143views Database» more  DEXA 2006»
14 years 1 months ago
Multivariate Stream Data Classification Using Simple Text Classifiers
We introduce a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes as input a sliding wi...
Sungbo Seo, Jaewoo Kang, Dongwon Lee, Keun Ho Ryu
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 4 months ago
Visualization techniques for data mining of Latur district satellite imagery
This study presents a new visualization tool for classification of satellite imagery. Visualization of feature space allows exploration of patterns in the image data and insight in...
B. G. Kodge, P. S. Hiremath
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
13 years 9 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
CORR
2010
Springer
120views Education» more  CORR 2010»
13 years 4 months ago
LRM-Trees: Compressed Indices, Adaptive Sorting, and Compressed Permutations
LRM-Trees are an elegant way to partition a sequence of values into sorted consecutive blocks, and to express the relative position of the first element of each block within a prev...
Jérémy Barbay, Johannes Fischer
PRL
2006
98views more  PRL 2006»
13 years 9 months ago
Data complexity assessment in undersampled classification of high-dimensional biomedical data
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
Richard Baumgartner, Ray L. Somorjai