%0 Conference Proceedings
%T Shortened Persistent Homology for a Biomedical Retrieval System with Relevance Feedback
%+ Department of Mathematics [Bologna]
%+ Advanced Research Center on Electronic Systems for Information and Communication Technologies E. De Castro [Bologna] (ARCES)
%+ CA-MI S.r.l.
%A Angeli, Alessia
%A Ferri, Massimo
%A Monti, Eleonora
%A Tomba, Ivan
%Z Part 4: MAKE-Topology
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
%C Hamburg, Germany
%Y Andreas Holzinger
%Y Peter Kieseberg
%Y A Min Tjoa
%Y Edgar Weippl
%I Springer International Publishing
%3 Machine Learning and Knowledge Extraction
%V LNCS-11015
%P 282-292
%8 2018-08-27
%D 2018
%R 10.1007/978-3-319-99740-7_20
%K Persistence diagram
%K Elementary symmetric function
%K Projected gradient
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X This is the report of a preliminary study, in which a new coding of persistence diagrams and two relevance feedback methods, designed for use with persistent homology, are combined. The coding consists in substituting persistence diagrams with complex polynomials; these are “shortened”, in the sense that only the first few coefficients are used. The relevance feedback methods play on the user’s feedback for changing the impact of the different filtering functions in determining the output.
%G English
%Z TC 5
%Z TC 8
%Z TC 12
%Z WG 8.4
%Z WG 8.9
%Z WG 12.9
%2 https://inria.hal.science/hal-02060046/document
%2 https://inria.hal.science/hal-02060046/file/472936_1_En_20_Chapter.pdf
%L hal-02060046
%U https://inria.hal.science/hal-02060046
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-TC8
%~ IFIP-WG8-4
%~ IFIP-WG8-9
%~ IFIP-CD-MAKE
%~ IFIP-WG12-9
%~ IFIP-LNCS-11015