Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Bilen, Cagdas"'
Autor:
Ferroni, Giacomo, Turpault, Nicolas, Azcarreta, Juan, Tuveri, Francesco, Serizel, Romain, Bilen, Çagdaş, Krstulović, Sacha
The ranking of sound event detection (SED) systems may be biased by assumptions inherent to evaluation criteria and to the choice of an operating point. This paper compares conventional event-based and segment-based criteria against the Polyphonic So
Externí odkaz:
http://arxiv.org/abs/2010.13648
This work defines a new framework for performance evaluation of polyphonic sound event detection (SED) systems, which overcomes the limitations of the conventional collar-based event decisions, event F-scores and event error rates. The proposed frame
Externí odkaz:
http://arxiv.org/abs/1910.08440
Autor:
Bilen, Cagdas
Multiview video is one of the emerging research areas especially among the video coding community. Transmission of multiview video over an error prone network is possible with efficient compression of these videos. But along with the studies for effi
Externí odkaz:
http://etd.lib.metu.edu.tr/upload/12608559/index.pdf
We investigate the methods that simultaneously enforce sparsity and low-rank structure in a matrix as often employed for sparse phase retrieval problems or phase calibration problems in compressive sensing. We propose a new approach for analyzing the
Externí odkaz:
http://arxiv.org/abs/1403.4267
Publikováno v:
IEEE Transactions on Signal Processing 62, 18 (2014) 4847-4856
We investigate a compressive sensing framework in which the sensors introduce a distortion to the measurements in the form of unknown gains. We focus on blind calibration, using measures performed on multiple unknown (but sparse) signals and formulat
Externí odkaz:
http://arxiv.org/abs/1308.5354
Numerous applications in signal processing have benefited from the theory of compressed sensing which shows that it is possible to reconstruct signals sampled below the Nyquist rate when certain conditions are satisfied. One of these conditions is th
Externí odkaz:
http://arxiv.org/abs/1203.5772
Magnetic Resonance Imaging (MRI) is one of the fields that the compressed sensing theory is well utilized to reduce the scan time significantly leading to faster imaging or higher resolution images. It has been shown that a small fraction of the over
Externí odkaz:
http://arxiv.org/abs/1203.4587
Autor:
Aksay, Anil, Pehlivan, Selen, Kurutepe, Engin, Bilen, Cagdas, Ozcelebi, Tanir, Akar, Gozde Bozdagi, Civanlar, M. Reha, Tekalp, A. Murat
Publikováno v:
In Signal Processing: Image Communication 2007 22(2):157-168
Akademický článek
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Publikováno v:
MissData 2015
MissData 2015, Jun 2015, Rennes, France
MissData 2015, Jun 2015, Rennes, France
International audience; We propose a general signal recovery algorithm based on NTF model that is applied to new and existing problems related to audio inpainting, source separation and audio compression.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3e3f8f9b55f297e1caedf21ca7a923b6
https://hal.inria.fr/hal-01171843
https://hal.inria.fr/hal-01171843