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Regression based bandwidth selection for segmentation using Parzen windows
Maneesh Singh,
Narendra Ahuja
Electrical and Computer Engineering
National Center for Supercomputing Applications (NCSA)
Siebel School of Computing and Data Science
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peer-review
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Dive into the research topics of 'Regression based bandwidth selection for segmentation using Parzen windows'. Together they form a unique fingerprint.
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Keyphrases
Regression-based Method
100%
Bandwidth Selection
100%
Bandwidth Parameter
100%
Parzen Window
100%
Real Image
33%
First Use
33%
Pixel Image
33%
Modal
33%
Image Segmentation
33%
Continuous Signals
33%
Mean Shift
33%
Iterative Process
33%
Regression Model
33%
Density Function
33%
Non-stationary Statistics
33%
Error Criterion
33%
Pixel Cluster
33%
Modal Density
33%
Global Error
33%
Automatic Selection
33%
Image Segment
33%
Engineering
Convergent
100%
Real Image
100%
Iterative Process
100%
Continuous Signal
100%
Global Error
100%
Modal Density
100%
Band Width
100%
Computer Science
Continuous Signal
100%
Iterative Process
100%
Density Function
100%
mean shift
100%