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Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
|
November 9, 2020
SSGD: SPARSITY-PROMOTING STOCHASTIC GRADIENT DESCENT ALGORITHM FOR UNBIASED DNN PRUNING
Ching-Hua Lee, Igor Fedorov, Bhaskar D Rao, et al.
The Journal of the Acoustical Society of America
|
November 3, 2017
Speech quality and stable gain trade-offs in adaptive feedback cancellation for hearing aids
Ching-Hua Lee, James M Kates, Bhaskar D Rao, et al.
Advances in Neural Information Processing Systems
|
April 14, 2022
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
Kuan-Lin Chen, Ching-Hua Lee, Harinath Garudadri, et al.
Conference Record. Asilomar Conference on Signals, Systems & Computers
|
March 10, 2022
A Generalized Proportionate-Type Normalized Subband Adaptive Filter
Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D Rao, et al.
Proceedings of the ... European Signal Processing Conference (EUSIPCO). EUSIPCO (Conference)
|
March 10, 2022
Jointly Leveraging Decorrelation and Sparsity for Improved Feedback Cancellation in Hearing Aids
Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D Rao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|
May 8, 2014
Spatiotemporal sparse Bayesian learning with applications to compressed sensing of multichannel physiological signals
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, et al.
IEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society
|
June 30, 2021
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem
Alican Nalci, Igor Fedorov, Maher Al-Shoukairi, et al.
Interspeech
|
November 9, 2020
On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks
Ching-Hua Lee, Kuan-Lin Chen, Fred Harris, et al.
Signal Processing
|
June 26, 2019
A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem
Igor Fedorov, Alican Nalci, Ritwik Giri, et al.
IEEE Transactions on Medical Imaging
|
April 9, 2014
Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse Bayesian learning
Jing Wan, Zhilin Zhang, Bhaskar D Rao, et al.
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Showing results (11-20 of 24) with videos related to
Sort By:
Page
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Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
|
November 9, 2020
SSGD: SPARSITY-PROMOTING STOCHASTIC GRADIENT DESCENT ALGORITHM FOR UNBIASED DNN PRUNING
Ching-Hua Lee, Igor Fedorov, Bhaskar D Rao, et al.
The Journal of the Acoustical Society of America
|
November 3, 2017
Speech quality and stable gain trade-offs in adaptive feedback cancellation for hearing aids
Ching-Hua Lee, James M Kates, Bhaskar D Rao, et al.
Advances in Neural Information Processing Systems
|
April 14, 2022
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
Kuan-Lin Chen, Ching-Hua Lee, Harinath Garudadri, et al.
Conference Record. Asilomar Conference on Signals, Systems & Computers
|
March 10, 2022
A Generalized Proportionate-Type Normalized Subband Adaptive Filter
Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D Rao, et al.
Proceedings of the ... European Signal Processing Conference (EUSIPCO). EUSIPCO (Conference)
|
March 10, 2022
Jointly Leveraging Decorrelation and Sparsity for Improved Feedback Cancellation in Hearing Aids
Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D Rao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|
May 8, 2014
Spatiotemporal sparse Bayesian learning with applications to compressed sensing of multichannel physiological signals
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, et al.
IEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society
|
June 30, 2021
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem
Alican Nalci, Igor Fedorov, Maher Al-Shoukairi, et al.
Interspeech
|
November 9, 2020
On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks
Ching-Hua Lee, Kuan-Lin Chen, Fred Harris, et al.
Signal Processing
|
June 26, 2019
A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem
Igor Fedorov, Alican Nalci, Ritwik Giri, et al.
IEEE Transactions on Medical Imaging
|
April 9, 2014
Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse Bayesian learning
Jing Wan, Zhilin Zhang, Bhaskar D Rao, et al.
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