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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
April 22, 2009
Video event classification and image segmentation based on noncausal multidimensional hidden Markov models
Xiang Ma, Dan Schonfeld, Ashfaq A Khokhar
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 29, 2008
Theoretical foundations of spatially-variant mathematical morphology part I: binary images
Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
November 2, 2006
Spatially variant morphological restoration and skeleton representation
Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
December 21, 2011
M-idempotent and self-dual morphological filters
Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 4, 2007
Object trajectory-based activity classification and recognition using hidden Markov models
Faisal I Bashir, Ashfaq A Khokhar, Dan Schonfeld
BMC Bioinformatics
|
September 20, 2008
Time-dependent ARMA modeling of genomic sequences
Jerzy S Zielinski, Nidhal Bouaynaya, Dan Schonfeld, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
September 25, 2010
Special section on distributed camera networks: sensing, processing, communication, and implementation
Rama Chellappa, Wendi Heinzelman, Janusz Konrad, et al.
Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine
|
June 3, 2020
Deep learning applied to polysomnography to predict blood pressure in obstructive sleep apnea and obesity hypoventilation: a proof-of-concept study
Bharati Prasad, Chirag Agarwal, Elan Schonfeld, et al.
Journal of Biophotonics
|
November 14, 2024
A Deep Learning-Based Approach to Characterize Skull Physical Properties: A Phantom Study
Deepika Aggrawal, Loïc Saint-Martin, Rayyan Manwar, et al.
Sleep and Vigilance
|
July 11, 2022
Deep Learning Analyses of Brain MRI to Identify Sustained Attention Deficit in Treated Obstructive Sleep Apnea: A Pilot Study
Chirag Agarwal, Saransh Gupta, Muhammad Najjar, et al.
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of 4
Search research articles
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Showing results (21-30 of 34) with videos related to
Sort By:
Page
of 4
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
April 22, 2009
Video event classification and image segmentation based on noncausal multidimensional hidden Markov models
Xiang Ma, Dan Schonfeld, Ashfaq A Khokhar
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 29, 2008
Theoretical foundations of spatially-variant mathematical morphology part I: binary images
Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
November 2, 2006
Spatially variant morphological restoration and skeleton representation
Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
December 21, 2011
M-idempotent and self-dual morphological filters
Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 4, 2007
Object trajectory-based activity classification and recognition using hidden Markov models
Faisal I Bashir, Ashfaq A Khokhar, Dan Schonfeld
BMC Bioinformatics
|
September 20, 2008
Time-dependent ARMA modeling of genomic sequences
Jerzy S Zielinski, Nidhal Bouaynaya, Dan Schonfeld, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
September 25, 2010
Special section on distributed camera networks: sensing, processing, communication, and implementation
Rama Chellappa, Wendi Heinzelman, Janusz Konrad, et al.
Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine
|
June 3, 2020
Deep learning applied to polysomnography to predict blood pressure in obstructive sleep apnea and obesity hypoventilation: a proof-of-concept study
Bharati Prasad, Chirag Agarwal, Elan Schonfeld, et al.
Journal of Biophotonics
|
November 14, 2024
A Deep Learning-Based Approach to Characterize Skull Physical Properties: A Phantom Study
Deepika Aggrawal, Loïc Saint-Martin, Rayyan Manwar, et al.
Sleep and Vigilance
|
July 11, 2022
Deep Learning Analyses of Brain MRI to Identify Sustained Attention Deficit in Treated Obstructive Sleep Apnea: A Pilot Study
Chirag Agarwal, Saransh Gupta, Muhammad Najjar, et al.
Page
of 4