The Path Kernel
2013 (English)In: ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, 2013, 50-57 p.Conference paper (Refereed)
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.
Kernel methods, Sequential modelling
Computer Vision and Robotics (Autonomous Systems)
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-108260ScopusID: 2-s2.0-84877957575ISBN: 9789898565419OAI: oai:DiVA.org:kth-108260DiVA: diva2:579510
2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013; Barcelona; Spain; 15 February 2013 through 18 February 2013
FunderEU, FP7, Seventh Framework Programme, 270436Swedish Foundation for Strategic Research
QC 201301212012-12-202012-12-202013-12-02Bibliographically approved