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SUMMARY:MBO method for image processing and classification using a graphic
 al framework
DTSTART:20150603T140000
DTSTAMP:20260406T172854Z
UID:6e19217d7ee613a7b9a329a2762710df855838134cbdd2da7a6921b5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Ekaterina Merkurjev\, UCLA\nWe present a graph-based algor
 ithm for image processing and classification of high-dimensional data. The
  semi-supervised method uses a graph adaptation of the classical numerical
  Merriman-Bence-Osher (MBO) scheme\, and can be extended to the multiclass
  case via the Gibbs simplex. We show examples of the application of the al
 gorithm in the areas of image inpainting\, image segmentation and object d
 etection using hyperspectral video sequences.\nBio: Solid background in ap
 plied and computational mathematics\, differential equations\, numerical a
 nalysis\, optimization\, scientific computing.\nVariational and PDE-based 
 methods for machine learning\, data analysis\, and image processing using 
 a graphical framework. Applications include classification of high-dimensi
 onal data\, image segmentation and image inpainting.
LOCATION:INF119
STATUS:CONFIRMED
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