dc.creator | Onchis, Darian M. | es |
dc.creator | Istin, Codruta | es |
dc.creator | Real Jurado, Pedro | es |
dc.date.accessioned | 2021-09-30T10:52:25Z | |
dc.date.available | 2021-09-30T10:52:25Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Onchis, D.M., Istin, C. y Real Jurado, P. (2019). Refined Deep Learning for Digital Objects Recognition via Betti Invariants. En CAIP 2019: 18th International Conference on Computer Analysis of Images and Patterns (613-621), Salerno, Italy: Springer. | |
dc.identifier.isbn | 978-3-030-29887-6 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/126387 | |
dc.description.abstract | In this paper, we make use of the topological invariants of
2D images for an accelerated training and an improved recognition ability
of a deep learning neural network applied to digital image objects.
For our test images, we generate the associated simplicial complexes and
from them we compute the Betti numbers which for a 2D object are the
number of connected components and the number of holes. These information
are used for training the network according to the corresponding
Betti number. Experiments on the MNIST databases are presented in
support of the proposed method. | es |
dc.description.sponsorship | European Union (UE). H2020 INFRAIA- 2016-1-730897 | es |
dc.format | application/pdf | es |
dc.format.extent | 9 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | CAIP 2019: 18th International Conference on Computer Analysis of Images and Patterns (2019), pp. 613-621. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Deep learning | es |
dc.subject | Betti numbers | es |
dc.subject | Handwritten digits | es |
dc.title | Refined Deep Learning for Digital Objects Recognition via Betti Invariants | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) | es |
dc.relation.projectID | INFRAIA- 2016-1-730897 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-030-29888-3_50 | es |
dc.identifier.doi | 10.1007/978-3-030-29888-3_50 | es |
dc.publication.initialPage | 613 | es |
dc.publication.endPage | 621 | es |
dc.eventtitle | CAIP 2019: 18th International Conference on Computer Analysis of Images and Patterns | es |
dc.eventinstitution | Salerno, Italy | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | European Union (UE). H2020 | es |