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» Measuring the Quality of Approximated Clusterings
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CORR
2010
Springer
209views Education» more  CORR 2010»
14 years 11 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam
CORR
2004
Springer
136views Education» more  CORR 2004»
14 years 11 months ago
Analysis and Visualization of Index Words from Audio Transcripts of Instructional Videos
We introduce new techniques for extracting, analyzing, and visualizing textual contents from instructional videos of low production quality. Using Automatic Speech Recognition, ap...
Alexander Haubold, John R. Kender
DICTA
2003
15 years 1 months ago
Fast Adaptive Algorithm for Time-Critical Color Quantization Application
Color quantization is the process of grouping n data points to k cluster. We proposed a new approach, based on Wu’s color quantization [6]. Our approach can significantly reduce ...
Kiattisin Kanjanawanishkul, Bunyarit Uyyanonvara
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
15 years 12 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
CDC
2009
IEEE
129views Control Systems» more  CDC 2009»
15 years 4 months ago
Resource allocation for signal detection with active sensors
— We consider the problem of determining the existence of known constant signals over a set of sites, given noisy measurements obtained by a team of active sensors that can switc...
Jerome Le Ny, Michael M. Zavlanos, George J. Pappa...