Biblio

Author Keyword Title Type [ Year(Desc)]
Filters: First Letter Of Last Name is A  [Clear All Filters]
2008
Adler A, Salhov M.  2008.  A carrier-grade wireless LAN network implementation. IEEE Microwave Magazine. 9(4):108-119.
2010
Adler A., Hel-Or Y., Elad M..  2010.  A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations. European Conference on Computer Vision (ECCV) . :622-635.
Adler A., Hel-Or Y., Elad M..  2010.  A weighted discriminative approach for image denoising with overcomplete representations. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :782-785.
2011
Adler A., Emiya V., Jafari M.G, Elad M., Gribonval R., Plumbley M.D.  2011.  A constrained matching pursuit approach to audio declipping. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :329-332.
2012
Adler A., Emiya V., Jafari M.G, Elad M., Gribonval R., Plumbley M.D.  2012.  Audio Inpainting. IEEE Transactions on Audio, Speech, and Language Processing. 20(3):922-932.
2013
Adler A., Elad M., Hel-Or Y..  2013.  Probabilistic Subspace Clustering Via Sparse Representations. IEEE Signal Processing Letters. 20(1):63-66.
2015
Adler A., Elad M., Hel-Or Y..  2015.  Linear-Time Subspace Clustering via Bipartite Graph Modeling. IEEE Transactions on Neural Networks and Learning Systems. 26(10):2234-2246.
Adler A., Elad M., Hel-Or Y., Rivlin E..  2015.  Sparse Coding with Anomaly Detection. Journal of Signal Processing Systems, Springer. 79(2):179–188.
2016
Adler A..  2016.  Covariance-Assisted Matching Pursuit. IEEE Signal Processing Letters. 23(1):149-153.
2017
Adler A., Boublil D., Zibulevsky M..  2017.  Block-based compressed sensing of images via deep learning. IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).
Adler A., Elad M., Zibulevsky M..  2017.  Compressed Learning: A Deep Neural Network Approach. Signal Processing with Adaptive Sparse Structured Representations (SPARS).
2018
Zisselman E., Adler A., Elad M..  2018.  Compressed Learning for Image Classification: A Deep Neural Network Approach. Handbook of Numerical Analysis. 19:3-17.
Adler A., Wax M..  2018.  Constant Modulus Beamforming Via Low-Rank Approximation. IEEE Statistical Signal Processing Workshop (SSP). :776-780.
Araya-Polo M., Jennings J., Adler A., Dahlke T..  2018.  Deep Learning Tomography. The Leading Edge. 37(1):58–66.
Araya-Polo M., Jennings J., Adler A., Dahlke T..  2018.  Deep Learning Tomography. The Leading Edge. 37(1):58–66.
2019
Adler A., Wax M..  2019.  Blind Constant Modulus Multiuser Detection via Low-Rank Approximation. IEEE Signal Processing Letters. 26(9):1290-1294.
Adler A., Wax M..  2019.  Constant Modulus Algorithms via Low-Rank Approximation. Signal Processing. 160(7):263-270.
Adler A., Araya-Polo M., Poggio T..  2019.  Deep Recurrent Architectures for Seismic Tomography. 81st EAGE Conference and Exhibition.
Adler A., Araya-Polo M., Poggio T..  2019.  Deep Recurrent Architectures for Seismic Tomography. 81st EAGE Conference and Exhibition.
Adler A., Wax M..  2019.  Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution. 27th European Conference on Signal Processing (EUSIPCO).
2020
Araya-Polo M., Adler A., .Farris S, Jennings J..  2020.  Fast and Accurate Seismic Tomography via Deep Learning. Deep Learning: Algorithms and Applications. :129-156.
Araya-Polo M., Adler A., .Farris S, Jennings J..  2020.  Fast and Accurate Seismic Tomography via Deep Learning. Deep Learning: Algorithms and Applications. :129-156.
Wax M., Adler A..  2020.  Localization of Multiple Sources With Known Waveforms by Array Response Matching. Signal Processing.
Wax M., Adler A..  2020.  Subspace-Constrained Array Response Estimation in the Presence of Model Errors. IEEE Transactions on Signal Processing. 69:417-427.
Wullach T., Adler A., Minkov E..  2020.  Towards Hate Speech Detection at Large via Deep Generative Modeling. IEEE Internet Computing.

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