Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Path Kernel
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0003-1114-6040
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0003-2965-2953
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2013 (English)In: ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, 2013, 50-57 p.Conference paper, Published paper (Refereed)
Abstract [en]

Kernel methods have been used very successfully to classify data in various application domains. Traditionally, kernels have been constructed mainly for vectorial data defined on a specific vector space. Much less work has been addressing the development of kernel functions for non-vectorial data. In this paper, we present a new kernel for encoding sequential data. We present our results comparing the proposed kernel to the state of the art, showing a significant improvement in classification and a much improved robustness and interpretability.

Place, publisher, year, edition, pages
2013. 50-57 p.
Keyword [en]
Kernel methods, Sequential modelling
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-108260Scopus ID: 2-s2.0-84877957575ISBN: 9789898565419 (print)OAI: oai:DiVA.org:kth-108260DiVA: diva2:579510
Conference
2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013; Barcelona; Spain; 15 February 2013 through 18 February 2013
Funder
EU, FP7, Seventh Framework Programme, 270436Swedish Foundation for Strategic Research
Note

QC 20130121

Available from: 2012-12-20 Created: 2012-12-20 Last updated: 2013-12-02Bibliographically approved

Open Access in DiVA

No full text

Other links

ScopusConference website

Authority records BETA

Pokorny, Florian T.Kragic, Danica

Search in DiVA

By author/editor
Baisero, AndreaPokorny, Florian T.Kragic, DanicaEk, Carl Henrik
By organisation
Computer Vision and Active Perception, CVAP
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 422 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf