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ORCIDHoward Hua Yang
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2000 – 2009
- 2000
[j12]Howard Hua Yang, Sarel van Vuuren, Sangita Sharma, Hynek Hermansky
:
Relevance of time-frequency features for phonetic and speaker-channel classification. Speech Commun. 31(1): 35-50 (2000)
1990 – 1999
- 1999
- [c13]Howard Hua Yang, Sarel van Vuuren, Hynek Hermansky:
Relevancy of time-frequency features for phonetic classification measured by mutual information. ICASSP 1999: 225-228 - [c12]Howard Hua Yang, John E. Moody:
Data Visualization and Feature Selection: New Algorithms for Nongaussian Data. NIPS 1999: 687-702 - [c11]Howard Hua Yang, Hynek Hermansky:
Search for Information Bearing Components in Speech. NIPS 1999: 803-812 - 1998
- [j11]Howard Hua Yang, Shun-ichi Amari:
Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons. Neural Comput. 10(8): 2137-2157 (1998) - [j10]Howard Hua Yang, Shun-ichi Amari, Andrzej Cichocki:
Information-theoretic approach to blind separation of sources in non-linear mixture. Signal Process. 64(3): 291-300 (1998) - [j9]Howard Hua Yang:
On-line blind equalization via on-line blind separation. Signal Process. 68(3): 271-281 (1998) - 1997
- [j8]Howard Hua Yang, Shun-ichi Amari:
Adaptive On-line Learning Algorithms for Blind Separation-Maximization Entropy and Minimum Mutual Information. Neural Comput. 9(7): 1457-1482 (1997) - [j7]Howard Hua Yang, Yingbo Hua:
Performance comparison of two methods for 2-D frequency estimation in both medium and high SNR cases. Signal Process. 58(2): 215-221 (1997) - [j6]Howard Hua Yang, Yingbo Hua:
On performance of cross-relation method for blind-channel identification. Signal Process. 62(2): 187-205 (1997) - [j5]Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang:
Asymptotic statistical theory of overtraining and cross-validation. IEEE Trans. Neural Networks 8(5): 985-996 (1997) - [c10]Howard Hua Yang, Shun-ichi Amari:
Blind equalization of switching channels by ICA and learning of learning rate. ICASSP 1997: 1849-1852 - [c9]Lei Xu, Chi Chiu Cheung, Howard Hua Yang, Shun-ichi Amari:
Independent component analysis by the information-theoretic approach with mixture of densities. ICNN 1997: 1821-1826 - [c8]Howard Hua Yang, Shun-ichi Amari, Andrzej Cichocki:
Information backpropagation for blind separation of sources in nonlinear mixture. ICNN 1997: 2141-2146 - [c7]Howard Hua Yang, Shun-ichi Amari:
The Efficiency and the Robustness of Natural Gradient Descent Learning Rule. NIPS 1997: 385-391 - [c6]Howard Hua Yang:
Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring. NIPS 1997: 696-702 - 1996
- [j4]Farhan A. Baqai, Yingbo Hua, Howard Hua Yang:
Matrix Pencil Methods for 2-d Frequency Estimation. J. Circuits Syst. Comput. 6(3): 187-196 (1996) - [j3]Eng Siong Chng, Howard Hua Yang, Siegfried Bös:
Orthogonal least-squares learning algorithm with local adaptation process for the radial basis function networks. IEEE Signal Process. Lett. 3(8): 253-255 (1996) - [j2]Howard Hua Yang, Yingbo Hua:
On rank of block Hankel matrix for 2-D frequency detection and estimation. IEEE Trans. Signal Process. 44(4): 1046-1048 (1996) - [c5]Howard Hua Yang, Shun-ichi Amari:
Two Gradient Descent Algorithms for Blind Signal Separation. ICANN 1996: 287-292 - 1995
- [c4]Yingbo Hua, Howard Hua Yang, Mingyong Zhou:
Blind system identification using multiple sensors. ICASSP 1995: 3171-3174 - [c3]Howard Hua Yang:
Intrinsic Oscillations of Neural Networks. ICNN 1995: 3044-3047 - [c2]Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang:
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? NIPS 1995: 176-182 - [c1]Shun-ichi Amari, Andrzej Cichocki, Howard Hua Yang:
A New Learning Algorithm for Blind Signal Separation. NIPS 1995: 757-763 - 1994
- [j1]Howard Hua Yang, Yingbo Hua:
Statistical analysis of an eigendecomposition based method for 2-D frequency estimation. Autom. 30(1): 157-168 (1994)
Coauthor Index
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