Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Tree wavelets"'
Autor:
Maher Salloum, Nathan D. Fabian, David M. Hensinger, Jina Lee, Elizabeth M. Allendorf, Ankit Bhagatwala, Myra L. Blaylock, Jacqueline H. Chen, Jeremy A. Templeton, Irina Tezaur
Publikováno v:
Data Science and Engineering, Vol 3, Iss 1, Pp 1-23 (2017)
Abstract Exascale computing promises quantities of data too large to efficiently store and transfer across networks in order to be able to analyze and visualize the results. We investigate compressed sensing (CS) as an in situ method to reduce the si
Externí odkaz:
https://doaj.org/article/a64fa43256494184a5cbaf6fddcba48f
Autor:
Eleyan, Gülden, Telatar, Ziya
Publikováno v:
Volume: 7, Issue: 2 478-493
Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi
Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi
In this study, feature extraction is performed using Gabor wavelet transforms and Dual Tree wavelet transforms for face detection. Artificial neural networks with feed forward are used in the classification step. In the first of the proposed algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b1556daa9ac73b67c3ec191b7c24872c
https://dergipark.org.tr/tr/pub/sujest/issue/43923/540776
https://dergipark.org.tr/tr/pub/sujest/issue/43923/540776
Autor:
David M. Hensinger, Jeremy Alan Templeton, Elizabeth M. Allendorf, Maher Salloum, Jacqueline H. Chen, Nathan Fabian, Myra Blaylock, Ankit Bhagatwala, Irina Kalashnikova Tezaur, Jina Lee
Publikováno v:
Data Science and Engineering, Vol 3, Iss 1, Pp 1-23 (2017)
Exascale computing promises quantities of data too large to efficiently store and transfer across networks in order to be able to analyze and visualize the results. We investigate compressed sensing (CS) as an in situ method to reduce the size of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73d5dced13f7d01589dee449b2f3426c
http://link.springer.com/article/10.1007/s41019-017-0042-4
http://link.springer.com/article/10.1007/s41019-017-0042-4
Autor:
Eleyan, Gülden, Telatar, Ziya
Bu çalışmada yüz algılama için Gabor dalgacık dönüşümleri ve Çift Ağaç dalgacık dönüşümleri kullanılarak öznitelik çıkarımı yapılmıştır. Sınıflandırma basamağında ileri beslemeli yapay sinir ağları kullanılmışt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4883::6e61aa844252695c5cf1f9664a60501d
https://hdl.handle.net/20.500.12395/41167
https://hdl.handle.net/20.500.12395/41167
Akademický článek
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Autor:
Ivica Kopriva, Damir Seršić
Publikováno v:
ICIP (1)
Blind source separation (BSS) problem is commonly solved by means of independent component analysis (ICA) assuming statistically independent and non-Gaussian sources. The strict independence assumption can be relaxed to existence of subbands where si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f6f45ca2a75bc943891d7bde0017ed2
https://doi.org/10.1109/icip.2007.4378984
https://doi.org/10.1109/icip.2007.4378984
Autor:
Ivica Kopriva
Blind source separation is a field developed in signal processing and neural network communities over last 15-20 years. It found numerous applications in science and engineering such as acoustics, biomedical signal analysis, communications, image seg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2b0941c1df31102173f256e273341cf1
https://www.bib.irb.hr/309484
https://www.bib.irb.hr/309484
Autor:
Sharpnack, James
Publikováno v:
Dissertations.
This thesis addresses statistical estimation and testing of signals over a graph when measurements are noisy and high-dimensional. Graph structured patterns appear in applications as diverse as sensor networks, virology in human networks, congestion
Externí odkaz:
http://repository.cmu.edu/dissertations/246
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1250&context=dissertations
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1250&context=dissertations
Conference
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Conference
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