Peax: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning

Fritz Lekschas; Brant Peterson; Daniel Haehn; Eric Ma; Nils Gehlenborg; Hanspeter Pfister

doi:10.1111/cgf.13971

Peax: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning

Fritz Lekschas
, Brant Peterson
, Daniel Haehn
, Eric Ma
, Nils Gehlenborg
, Hanspeter Pfister

Computer Science

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	167-179
Number of pages	13
Journal	Computer Graphics Forum
Volume	39
Issue number	3
DOIs	https://doi.org/10.1111/cgf.13971
State	Published - Jun 1 2020

ASJC Scopus Subject Areas

Computer Graphics and Computer-Aided Design

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10.1111/cgf.13971

Cite this

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title = "Peax: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning",

author = "Fritz Lekschas and Brant Peterson and Daniel Haehn and Eric Ma and Nils Gehlenborg and Hanspeter Pfister",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s) Computer Graphics Forum {\textcopyright} 2020 The Eurographics Association and John Wiley \& Sons Ltd. Published by John Wiley \& Sons Ltd.",

year = "2020",

month = jun,

day = "1",

doi = "10.1111/cgf.13971",

language = "English",

volume = "39",

pages = "167--179",

journal = "Computer Graphics Forum",

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TY - JOUR

T1 - Peax

T2 - Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning

AU - Lekschas, Fritz

AU - Peterson, Brant

AU - Haehn, Daniel

AU - Ma, Eric

AU - Gehlenborg, Nils

AU - Pfister, Hanspeter

PY - 2020/6/1

Y1 - 2020/6/1

UR - https://www.scopus.com/pages/publications/85088115177

UR - https://www.scopus.com/pages/publications/85088115177#tab=citedBy

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DO - 10.1111/cgf.13971

M3 - Article

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EP - 179

JO - Computer Graphics Forum

JF - Computer Graphics Forum

IS - 3

ER -

Peax: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning

ASJC Scopus Subject Areas

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