English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Multi-field Pattern Matching Based on Sparse Feature Sampling

Wang, Z., Seidel, H.-P., & Weinkauf, T. (2016). Multi-field Pattern Matching Based on Sparse Feature Sampling. IEEE Transactions on Visualization and Computer Graphics, 22(1), 807-816. doi:10.1109/TVCG.2015.2467292.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-1A76-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-74A0-9
Genre: Journal Article

Files

show Files
hide Files
:
wang16a.pdf (Preprint), 7MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-000F-74A1-8
Name:
wang16a.pdf
Description:
-
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
© IEEE, 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in 10.1109/TVCG.2015.2467292.
License:
-

Locators

show

Creators

show
hide
 Creators:
Wang, Zhongjie1, Author           
Seidel, Hans-Peter1, Author                 
Weinkauf, Tino2, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 20152016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/TVCG.2015.2467292
BibTex Citekey: Wang2015
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: IEEE Transactions on Visualization and Computer Graphics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : IEEE Computer Society
Pages: - Volume / Issue: 22 (1) Sequence Number: - Start / End Page: 807 - 816 Identifier: ISSN: 1077-2626
CoNE: https://pure.mpg.de/cone/journals/resource/954925605807