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» Applying Discrete PCA in Data Analysis
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ACMACE
2007
ACM
13 years 11 months ago
Application of dimensionality reduction techniques to HRTFS for interactive virtual environments
Fundamental to the generation of 3D audio is the HRTF processing of acoustical signals. Unfortunately, given the high dimensionality of HRTFs, incorporating them into dynamic/inte...
Bill Kapralos, Nathan Mekuz
JCIT
2010
190views more  JCIT 2010»
13 years 2 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li
IGARSS
2009
13 years 5 months ago
Rapid Detection of Agricultural Food Crop Contamination via Hyperspectral Remote Sensing
In this study, the authors investigate the use of hyperspectral imaging for food crop monitoring and contamination detection and characterization. The authors investigate the use ...
Terrance West, Lori M. Bruce, Saurabh Prasad, Dani...
VIS
2007
IEEE
130views Visualization» more  VIS 2007»
14 years 8 months ago
Interactive Visual Analysis of Perfusion Data
Perfusion data are dynamic medical image data which characterize the regional blood flow in human tissue. These data bear a great potential in medical diagnosis, since diseases can...
Steffen Oeltze, Helmut Doleisch, Helwig Hauser, ...
BMCBI
2008
121views more  BMCBI 2008»
13 years 7 months ago
Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart...