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Document type:
Bachelorarbeit
Author(s):
Samuel Weber
Title:
Exploiting the Data Hierarchy with Geometry Aware Sparse Grids for Image Classification
Translated title:
Ausnutzung der Daten-Hierarchie mit geometrisch bewussten dünnen Gittern für Bild-Klassifizierung
Abstract:
Currently, the geometry aware sparse grids allow us to use only simple stencils for image classification on a normal resolution. In this thesis, I present the data hierarchy, a set of different coarsened images of the original data, that allow us to apply complex stencils on lower resolutions while still being able to process the original image through simple stencils. By exploiting the data hierarchy the accuracy in some cases is improved by nearly 5%. I also present the class of hierarchical...     »
Keywords:
Data Mining; Sparse Grids; SG++
Supervisor:
Bungartz, Hans-Joachim
Advisor:
Röhner, Kilian
Year:
2019
Quarter:
3. Quartal
Year / month:
2019-08
Month:
Aug
Language:
en
University:
Technical University of Munich
Faculty:
Fakultät für Informatik
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