TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Cosparse dictionary learning for the orthogonal case

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2015 19th International Conference on System Theory, Control and Computing, ICSTCC 2015 - Joint Conference SINTES 19, SACCS 15, SIMSIS 19
KustantajaIEEE
Sivut343-347
Sivumäärä5
ISBN (painettu)9781479984817
DOI - pysyväislinkit
TilaJulkaistu - 5 marraskuuta 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational conference on system theory, control and computing -
Kesto: 1 tammikuuta 2014 → …

Conference

ConferenceInternational conference on system theory, control and computing
Ajanjakso1/01/14 → …

Tiivistelmä

Dictionary learning is usually approached by looking at the support of the sparse representations. Recent years have shown results in dictionary improvement by investigating the cosupport via the analysis-based cosparse model. In this paper we present a new cosparse learning algorithm for orthogonal dictionary blocks that provides significant dictionary recovery improvements and representation error shrinkage. Furthermore, we show the beneficial effects of using this algorithm inside existing methods based on building the dictionary as a structured union of orthonormal bases.