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» Input Modeling Using Quantile Statistical Methods
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119
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SIGIR
2000
ACM
15 years 7 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
129
Voted
CIT
2006
Springer
15 years 6 months ago
Fuzzy data mining for customer loyalty analysis
One of the major conceptual analyses in analytical CRM is customer loyalty. Current methods use user defined and statistical methods for loyalty analysis. One of the major limitat...
Jay B. Simha, S. S. Iyengar
138
Voted
SGP
2004
15 years 5 months ago
Shape Segmentation Using Local Slippage Analysis
We propose a method for segmentation of 3D scanned shapes into simple geometric parts. Given an input point cloud, our method computes a set of components which possess one or mor...
Natasha Gelfand, Leonidas J. Guibas
112
Voted
IISWC
2008
IEEE
15 years 9 months ago
Accelerating multi-core processor design space evaluation using automatic multi-threaded workload synthesis
The design and evaluation of microprocessor architectures is a difficult and time-consuming task. Although small, handcoded microbenchmarks can be used to accelerate performance e...
Clay Hughes, Tao Li
153
Voted
TIP
2002
179views more  TIP 2002»
15 years 2 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki