DocumentCode
2037120
Title
Tensor Decomposition for 3D Bars Problem
Author
Platos, Jan ; Kocibova, Jana ; Kromer, Pavel ; Moravec, Pavel ; Snasel, Vaclav
Author_Institution
Dept. of Comput. Sci., VSB - Tech. Univ. of Ostrava, Poruba
fYear
2008
fDate
26-28 June 2008
Firstpage
195
Lastpage
200
Abstract
In this paper, we compare performance of several dimension reduction techniques, namely SVD, NMF and SDD. The qualitative comparison is evaluated on a collection of bars. We compare the quality of these methods from on the base of the visual impact. We also compare dimension reduction techniques SVD and HO-SVD on tensors - 3D bars.
Keywords
image processing; singular value decomposition; tensors; 3D bars problem; SVD; dimension reduction techniques; singular value decomposition; tensor decomposition; Bars; Computer industry; Feature extraction; Image reconstruction; Management information systems; Matrix decomposition; Object recognition; Singular value decomposition; Tensile stress; Vectors; HO-SVD; NMF; SVD; dimension reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Information Systems and Industrial Management Applications, 2008. CISIM '08. 7th
Conference_Location
Ostrava
Print_ISBN
978-0-7695-3184-7
Type
conf
DOI
10.1109/CISIM.2008.15
Filename
4557860
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