Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Vahid Khanagha"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
Blind identification of MIMO FIR systems has widely received attentions in various fields of wireless data communications. Here, we use Particle Swarm Optimization (PSO) as the update mechanism of the well-known inverse filtering approach and we show
Externí odkaz:
https://doaj.org/article/a9b3a0ec8e4a493ba536e1e218553cff
Autor:
Zhihong Liu, Junyu Yan, Xichao Teng, Byungjae Lee, Daiqiang Li, Yuling Tang, Vladimir Yurovskiy, Hong Zhao, Peter J. Schüffler, Zhang Li, Yilong Li, Yiyu Hong, Geert Litjens, Yi Jiang, Jiehua Zhang, Tao Tan, Li Yu, Yanling Liu, Xiaoliang Sun, Junsu Ko, Qifeng Yu, Yushan Zheng, Yu-cheng Chen, Pavel Maevskikh, Ni Li, Shujiao Sun, Yang Xiao, Qianni Zhang, Ching-Wei Wang, Vahid Khanagha, Hui Chen, Lihong Liu, Hyun Jung
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, 25, 2, pp. 429-440
IEEE Journal of Biomedical and Health Informatics, 25, 429-440
IEEE Journal of Biomedical and Health Informatics, 25, 429-440
Accurate segmentation of lung cancer in pathology slides is a critical step in improving patient care. We proposed the ACDC@LungHP (Automatic Cancer Detection and Classification in Whole-slide Lung Histopathology) challenge for evaluating different c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34571551515604be901cd3ca58a88a58
http://arxiv.org/abs/2008.09352
http://arxiv.org/abs/2008.09352
Context Aware Lung Cancer Annotation in Whole Slide Images Using Fully Convolutional Neural Networks
Autor:
Vahid Khanagha, Sanaz Aliari Kardehdeh
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030272715
ICIAR (2)
ICIAR (2)
We propose a novel machine learning based methodology for detection and annotation of areas in Whole Slide lung Images (WSI) that are affected by lung cancer. Contrary to the trend of processing WSIs in small overlapping patches to generate a heat-ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8216f1873bdada64b5bc8e1fb206a832
https://doi.org/10.1007/978-3-030-27272-2_30
https://doi.org/10.1007/978-3-030-27272-2_30
Publikováno v:
IEEE Transactions on Audio, Speech and Language Processing
IEEE Transactions on Audio, Speech and Language Processing, 2014
IEEE Transactions on Audio, Speech and Language Processing, 2014
International audience; This paper presents a novel algorithm for automatic detection of Glottal Closure Instants (GCI) from the speech signal. Our approach is based on a novel multiscale method that relies on precise estimation of a multiscale param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d66d08d890d21fc058043df21ab00370
https://doi.org/10.1109/taslp.2014.2352451
https://doi.org/10.1109/taslp.2014.2352451
Publikováno v:
Digital Signal Processing
Digital Signal Processing, 2014
Digital Signal Processing, 2014
International audience; This paper presents the application of a radically novel approach, called the Microcanonical Multiscale Formalism (MMF) to speech analysis. MMF is based on precise estimation of local scaling parameters that describe the inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db643784b1a1c7d7a6a0cf6acb3b7491
https://inria.hal.science/hal-01059348
https://inria.hal.science/hal-01059348
Autor:
Vahid Khanagha, Khalid Daoudi
Publikováno v:
Nonlinear Speech Processing (NOLISP)
Nonlinear Speech Processing (NOLISP), International Speech Communication Association, Jun 2013, Mons, Belgium
Advances in Nonlinear Speech Processing ISBN: 9783642388460
NOLISP
Nonlinear Speech Processing (NOLISP), International Speech Communication Association, Jun 2013, Mons, Belgium
Advances in Nonlinear Speech Processing ISBN: 9783642388460
NOLISP
International audience; We propose a unified non-linear approach that offers an ef- ficient closed-form solution for the problem of sparse linear prediction analysis. The approach is based on our previous work for minimization of the weighted l2 -nor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e96b110d40c336f40081f4b3f94c04ab
https://inria.hal.science/hal-00850456
https://inria.hal.science/hal-00850456
Publikováno v:
Neurocomputing
Neurocomputing, 2013, Special issue on Non-Linear Speech Signal processing
Neurocomputing, Elsevier, 2013, Special issue on Non-Linear Speech Signal processing
Digital.CSIC. Repositorio Institucional del CSIC
instname
Neurocomputing, 2013, Special issue on Non-Linear Speech Signal processing
Neurocomputing, Elsevier, 2013, Special issue on Non-Linear Speech Signal processing
Digital.CSIC. Repositorio Institucional del CSIC
instname
6 pages, 3 figures
Looking for new perspectives to analyze non-linear dynamics of speech, this paper presents a novel approach based on a microcanonical multiscale formulation which allows the geometric and statistical description of multiscale
Looking for new perspectives to analyze non-linear dynamics of speech, this paper presents a novel approach based on a microcanonical multiscale formulation which allows the geometric and statistical description of multiscale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43b1dd452e3c07ac3017f166136eed35
https://inria.hal.science/hal-00685019/file/Neuro2012.pdf
https://inria.hal.science/hal-00685019/file/Neuro2012.pdf
Autor:
Vahid Khanagha, Khalid Daoudi
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing
EURASIP Journal on Audio, Speech, and Music Processing, 2013, 3, ⟨10.1186/1687-4722-2013-3⟩
EURASIP Journal on Audio, Speech, and Music Processing, 2013, 3, ⟨10.1186/1687-4722-2013-3⟩
EURASIP Journal on Audio, Speech, and Music Processing, Special Issue on Sparse Modeling for Speech and Audio Processing; International audience; We propose an efficient closed-form solution to the problem of sparse linear prediction analysis of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90cbe27772d422febd6e8cf9f183f2a7
https://inria.hal.science/hal-00709168
https://inria.hal.science/hal-00709168
Autor:
Vahid Khanagha, Khalid Daoudi
Publikováno v:
Interspeech 2012.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d1cf47190aa42580ab7c026b37d87ed
https://doi.org/10.21437/interspeech.2012-265
https://doi.org/10.21437/interspeech.2012-265
Publikováno v:
ICASSP
ICASSP 2011
ICASSP 2011, May 2011, Prague, Czech Republic
ICASSP 2011
ICASSP 2011, May 2011, Prague, Czech Republic
International audience; In an earlier work, we proposed a novel phonetic segmentation method based on speech analysis under the Microcanonical Multiscale Formalism (MMF). The latter relies on the computation of local geometrical parameters, singulari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f50e51e012a281b81ffd027a3ee1915
https://doi.org/10.1109/icassp.2011.5947350
https://doi.org/10.1109/icassp.2011.5947350