Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Oguz Semerci"'
Autor:
Ian Anderson, Santiago Gil, Clay Gibson, Scott Wolf, Will Shapiro, Oguz Semerci, David M. Greenberg
Publikováno v:
Social Psychological and Personality Science. 12:561-572
Advances in digital technology have put music libraries at people’s fingertips, giving them immediate access to more music than ever before. Here we overcome limitations of prior research by leveraging ecologically valid streaming data: 17.6 millio
Autor:
Longqi Yang, Hugues Bouchard, Sravana Reddy, Zahra Nazari, Ben Carterette, Rosie Jones, Markus Schedl, Aasish Pappu, Helia Hashemi, Oguz Semerci, Ching-Wei Chen, Ann Clifton, Hamed Zamani, Jussi Karlgren
Publikováno v:
SIGIR
Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and creators. The great strides in search and recommendation in research an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c45cf34a59266684d92a62dd045ec8c
Autor:
Anderson, Ian, Gil, Santiago, Gibson, Clay, Wolf, Scott, Shapiro, Will, Oguz Semerci, Greenberg, David M.
Supplemental_material for “Just the Way You Are”: Linking Music Listening on Spotify and Personality by Ian Anderson, Santiago Gil, Clay Gibson, Scott Wolf, Will Shapiro, Oguz Semerci and David M. Greenberg in Social Psychological and Personality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dc18a49c99e4faed17342a75482b2ff
We present a new inner–outer iterative algorithm for edge enhancement in imaging problems. At each outer iteration, we formulate a Tikhonov-regularized problem where the penalization is expressed in the two-norm and involves a regularization operat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c85965b0cab4b6eec0ceb79c9f98c11
http://arxiv.org/abs/1912.13103
http://arxiv.org/abs/1912.13103
Autor:
Catherinee Edwards, Ben Lacker, Vladan Radosavljevic, Oguz Semerci, Alois Gruson, Clay Gibson
Publikováno v:
RecSys
We aim to surface the best of Spotify for each user on the Home page by providing a personalized space where users can find recommendations of playlists, albums, artists, podcasts tailored to their individual preferences. Hundreds of millions of user
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 5:180-184
A microwave imaging method for nondestructive testing of perfectly conducting surfaces beyond a layered media is presented. The method is an adaptation of the surface reconstruction approach by Yapar et al. to the present problem. It is based on the
Publikováno v:
SEG Technical Program Expanded Abstracts 2014.
Accurate estimation of petrophysical properties is crucial for reservoir characterization. In this work, we use a multi-objective optimization technique for the inversion of multiphysics marine data. Specifically, we simultaneously invert controlleds
Autor:
Guozhong Gao, Oguz Semerci, Maokun Li, Tarek M. Habashy, Lin Liang, Aria Abubakar, Guangdong Pan
Publikováno v:
2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium).
Accurate determination of formation petrophysical properties such as porosity, permeability, and fluid contents, is essential for hydrocarbon exploration and production. These parameters are conventionally retrieved indirectly from geophysical measur
The development of energy selective, photon counting X-ray detectors allows for a wide range of new possibilities in the area of computed tomographic image formation. Under the assumption of perfect energy resolution, here we propose a tensor-based i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bccb46284c65454bc0a241a63eecaeb1
http://arxiv.org/abs/1307.5348
http://arxiv.org/abs/1307.5348
Autor:
Eric L. Miller, Oguz Semerci
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 21(5)
Dual energy computerized tomography has gained great interest because of its ability to characterize the chemical composition of a material rather than simply providing relative attenuation images as in conventional tomography. The purpose of this pa