Optimizing Wavelet Bases for Sparser Representations

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationEnergy Minimization Methods in Computer Vision and Pattern Recognition
Subtitle of host publicationEMMCVPR 2017
EditorsM. Pelillo, E. Hancock
Place of PublicationCham
PublisherSpringer
Pages249-262
ISBN (Electronic)978-3-319-78199-0
ISBN (Print)978-3-319-78198-3
DOIs
Publication statusPublished - 2018
Event2017 International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition - Venice, Italy
Duration: 30 Oct 20171 Nov 2017

Publication series

NameLecture Notes in Computer Science
Volume10746

Conference

Conference2017 International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Abbreviated titleEMMCVPR
CountryItaly
CityVenice
Period30/10/171/11/17

Cite this

Grandits, T. A., & Pock, T. (2018). Optimizing Wavelet Bases for Sparser Representations. In M. Pelillo, & E. Hancock (Eds.), Energy Minimization Methods in Computer Vision and Pattern Recognition: EMMCVPR 2017 (pp. 249-262). (Lecture Notes in Computer Science; Vol. 10746). Cham: Springer. https://doi.org/10.1007/978-3-319-78199-0_17

Optimizing Wavelet Bases for Sparser Representations. / Grandits, Thomas Andreas; Pock, Thomas.

Energy Minimization Methods in Computer Vision and Pattern Recognition: EMMCVPR 2017. ed. / M. Pelillo; E. Hancock. Cham : Springer, 2018. p. 249-262 (Lecture Notes in Computer Science; Vol. 10746).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Grandits, TA & Pock, T 2018, Optimizing Wavelet Bases for Sparser Representations. in M Pelillo & E Hancock (eds), Energy Minimization Methods in Computer Vision and Pattern Recognition: EMMCVPR 2017. Lecture Notes in Computer Science, vol. 10746, Springer, Cham, pp. 249-262, 2017 International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, Venice, Italy, 30/10/17. https://doi.org/10.1007/978-3-319-78199-0_17
Grandits TA, Pock T. Optimizing Wavelet Bases for Sparser Representations. In Pelillo M, Hancock E, editors, Energy Minimization Methods in Computer Vision and Pattern Recognition: EMMCVPR 2017. Cham: Springer. 2018. p. 249-262. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-78199-0_17
Grandits, Thomas Andreas ; Pock, Thomas. / Optimizing Wavelet Bases for Sparser Representations. Energy Minimization Methods in Computer Vision and Pattern Recognition: EMMCVPR 2017. editor / M. Pelillo ; E. Hancock. Cham : Springer, 2018. pp. 249-262 (Lecture Notes in Computer Science).
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