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» Forecasting high-dimensional data
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72
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ICDE
2006
IEEE
126views Database» more  ICDE 2006»
15 years 3 months ago
Managing the Forecast Factory
The CORIE forecast factory consists of a set of data product generation runs that are executed daily on dedicated local resources. The goal is to maximize productivity and resourc...
Laura Bright, David Maier, Bill Howe
PAMI
2006
127views more  PAMI 2006»
14 years 9 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
ADAC
2010
110views more  ADAC 2010»
14 years 7 months ago
Robust classification for skewed data
In this paper we propose a robust classification rule for skewed unimodal distributions. For low dimensional data, the classifier is based on minimizing the adjusted outlyingness t...
Mia Hubert, Stephan Van der Veeken
95
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ICDM
2003
IEEE
178views Data Mining» more  ICDM 2003»
15 years 3 months ago
Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data
Visual media data such as an image is the raw data representation for many important applications. Reducing the dimensionality of raw visual media data is desirable since high dime...
Qi Li, Jieping Ye, Chandra Kambhamettu
BIOINFORMATICS
2006
85views more  BIOINFORMATICS 2006»
14 years 9 months ago
Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data
Summary: We present a new R package for the assessment of the reliability of clusters discovered in high dimensional DNA microarray data. The package implements methods based on r...
Giorgio Valentini