date: 2020-02-13T02:13:45Z
pdf:PDFVersion: 1.7
pdf:docinfo:title: Efficient Structure-preserving Support Tensor Train Machine
xmp:CreatorTool: LaTeX with hyperref package
access_permission:can_print_degraded: true
subject: Proceedings of the International Conference on Machine Learning 2020
dc:format: application/pdf; version=1.7
pdf:docinfo:creator_tool: LaTeX with hyperref package
access_permission:fill_in_form: true
pdf:encrypted: false
dc:title: Efficient Structure-preserving Support Tensor Train Machine
modified: 2020-02-13T02:13:45Z
cp:subject: Proceedings of the International Conference on Machine Learning 2020
pdf:docinfo:subject: Proceedings of the International Conference on Machine Learning 2020
pdf:docinfo:creator: Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.17 (TeX Live 2016) kpathsea version 6.2.2
meta:author: Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
trapped: False
meta:creation-date: 2020-02-13T02:13:45Z
created: 2020-02-13T02:13:45Z
access_permission:extract_for_accessibility: true
Creation-Date: 2020-02-13T02:13:45Z
Author: Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
producer: pdfTeX-1.40.17
pdf:docinfo:producer: pdfTeX-1.40.17
pdf:unmappedUnicodeCharsPerPage: 0
Keywords: Support Vector Machine, Tensor train decomposition, Multi-linear Algebra, Kernel Methods
access_permission:modify_annotations: true
dc:creator: Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
dcterms:created: 2020-02-13T02:13:45Z
Last-Modified: 2020-02-13T02:13:45Z
dcterms:modified: 2020-02-13T02:13:45Z
title: Efficient Structure-preserving Support Tensor Train Machine
Last-Save-Date: 2020-02-13T02:13:45Z
pdf:docinfo:keywords: Support Vector Machine, Tensor train decomposition, Multi-linear Algebra, Kernel Methods
pdf:docinfo:modified: 2020-02-13T02:13:45Z
meta:save-date: 2020-02-13T02:13:45Z
pdf:docinfo:custom:PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.17 (TeX Live 2016) kpathsea version 6.2.2
Content-Type: application/pdf
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator: Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
dc:subject: Support Vector Machine, Tensor train decomposition, Multi-linear Algebra, Kernel Methods
access_permission:assemble_document: true
xmpTPg:NPages: 10
pdf:charsPerPage: 3948
access_permission:extract_content: true
access_permission:can_print: true
pdf:docinfo:trapped: False
meta:keyword: Support Vector Machine, Tensor train decomposition, Multi-linear Algebra, Kernel Methods
access_permission:can_modify: true
pdf:docinfo:created: 2020-02-13T02:13:45Z