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Sang-Hoon Oh
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2020 – today
- 2021
- [j19]Jihyeon Roh, Sungjin Park, Bo-Kyeong Kim, Sang-Hoon Oh
, Soo-Young Lee
:
Unsupervised multi-sense language models for natural language processing tasks. Neural Networks 142: 397-409 (2021) - 2020
- [i3]Jihyeon Roh, Sang-Hoon Oh, Soo-Young Lee:
Unigram-Normalized Perplexity as a Language Model Performance Measure with Different Vocabulary Sizes. CoRR abs/2011.13220 (2020)
2010 – 2019
- 2019
- [j18]Geon-min Kim
, Hwaran Lee
, Bo-Kyeong Kim
, Sang-Hoon Oh
, Soo-Young Lee
:
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition. IEEE Signal Process. Lett. 26(1): 159-163 (2019) - 2018
- [j17]Ho-Gyeong Kim, Hwaran Lee
, Geon-min Kim, Sang-Hoon Oh
, Soo-Young Lee:
Rescoring of N-Best Hypotheses Using Top-Down Selective Attention for Automatic Speech Recognition. IEEE Signal Process. Lett. 25(2): 199-203 (2018) - [i2]Geon-min Kim, Hwaran Lee, Bo-Kyeong Kim, Sang-Hoon Oh, Soo-Young Lee:
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition. CoRR abs/1811.02182 (2018) - 2016
- [j16]Hwaran Lee
, Geon-min Kim, Ho-Gyeong Kim, Sang-Hoon Oh
, Soo-Young Lee:
Deep CNNs Along the Time Axis With Intermap Pooling for Robustness to Spectral Variations. IEEE Signal Process. Lett. 23(10): 1310-1314 (2016) - [i1]Hwaran Lee, Geon-min Kim, Ho-Gyeong Kim, Sang-Hoon Oh, Soo-Young Lee:
Deep CNNs along the Time Axis with Intermap Pooling for Robustness to Spectral Variations. CoRR abs/1606.03207 (2016) - 2015
- [j15]Wonil Chang, Hyun Ah Song, Sang-Hoon Oh
, Soo-Young Lee:
Noise-Robust Detection of Symmetric Axes by Self-Correcting Artificial Neural Network. Neural Process. Lett. 41(2): 179-189 (2015) - 2014
- [j14]Chang-Hyun Kim, Wonil Chang, Sang-Hoon Oh
, Soo-Young Lee:
Joint Estimation of Multiple Notes and Inharmonicity Coefficient Based on ${f_0}$-Triplet for Automatic Piano Transcription. IEEE Signal Process. Lett. 21(12): 1536-1540 (2014) - [c13]Hiroshi Wakuya, Shohei Matsuoka, Hideaki Itoh
, Sang-Hoon Oh
:
A consideration on visualization of temporal signals by feedback SOM. SCIS&ISIS 2014: 544-549 - 2012
- [c12]Wonil Chang
, Hyun Ah Song, Sang-Hoon Oh
, Soo-Young Lee:
Self-correcting Symmetry Detection Network. ICONIP (2) 2012: 559-566 - 2011
- [j13]Sang-Hoon Oh
:
Error back-propagation algorithm for classification of imbalanced data. Neurocomputing 74(6): 1058-1061 (2011) - [j12]Do-Kwan Oh, Sang-Hoon Oh
, Soo-Young Lee:
Learning One-to-Many Mapping With Locally Linear Maps Based on Manifold Structure. IEEE Signal Process. Lett. 18(9): 521-524 (2011) - [c11]Sang-Hoon Oh
:
Statistical Analyses of Various Error Functions for Pattern Classifiers. ICHIT (2) 2011: 129-133 - [c10]Sang-Hoon Oh
:
Hidden Node Pruning of Multilayer Perceptrons Based on Redundancy Reduction. ICHIT (1) 2011: 245-249
2000 – 2009
- 2009
- [j11]Hyung-Min Park
, Sang-Hoon Oh
, Soo-Young Lee:
A Bark-scale filter bank approach to independent component analysis for acoustic mixtures. Neurocomputing 73(1-3): 304-314 (2009) - 2008
- [j10]Jong-Hwan Lee
, Sang-Hoon Oh
, Soo-Young Lee:
Binaural semi-blind dereverberation of noisy convoluted speech signals. Neurocomputing 72(1-3): 636-642 (2008) - [c9]Hyun-Chul Choi, Sam-Yong Kim, Sang-Hoon Oh, Se-Young Oh, Sun-Young Cho:
Pose invariant face recognition with 3D morphable model and neural network. IJCNN 2008: 4131-4136 - 2006
- [j9]Hyung-Min Park
, Chandra Shekhar Dhir, Sang-Hoon Oh
, Soo-Young Lee:
A filter bank approach to independent component analysis for convolved mixtures. Neurocomputing 69(16-18): 2065-2077 (2006) - [j8]Hyung-Min Park
, Sang-Hoon Oh
, Soo-Young Lee:
A modified infomax algorithm for blind signal separation. Neurocomputing 70(1-3): 229-240 (2006) - [c8]Hyung-Min Park, Jong-Hwan Lee
, Sang-Hoon Oh
, Soo-Young Lee:
Blind Deconvolution with Sparse Priors on the Deconvolution Filters. ICA 2006: 658-665 - 2004
- [c7]Seok-Hoon Kim, Sang-Hoon Oh, Jung-Hoon Hahm:
A design of digital rights management system utilizing multimedia content identifiers. ICWI 2004: 1057-1060 - [c6]Hyung-Min Park, Sang-Hoon Oh
, Soo-Young Lee:
Blind Equalization Using Direct Channel Estimation. ICA 2004: 562-569 - [c5]Jong-Hwan Lee
, Sang-Hoon Oh
, Soo-Young Lee:
Blind Dereverberation of Single-Channel Speech Signals Using an ICA-Based Generative Model. ICONIP 2004: 1070-1075 - 2003
- [j7]Hyung-Min Park
, Sang-Hoon Oh
, Soo-Young Lee:
A filter bank approach to independent component analysis and its application to adaptive noise cancelling. Neurocomputing 55(3-4): 755-759 (2003) - [c4]Hyung-Min Park, Sang-Hoon Oh, Soo-Young Lee:
A uniform oversampled filter bank approach to independent component analysis. ICASSP (5) 2003: 249-252
1990 – 1999
- 1999
- [j6]Sang-Hoon Oh
, Soo-Young Lee:
A new error function at hidden layers for past training of multilayer perceptrons. IEEE Trans. Neural Networks 10(4): 960-964 (1999) - [j5]Sang-Hoon Oh
, Soo-Young Lee:
Corrections to "a new error function at hidden layers for fast training of multilayer perceptrons". IEEE Trans. Neural Networks 10(6): 1541-1541 (1999) - [c3]Sang-Hoon Oh, Soo-Young Lee:
Optimal learning rates for each pattern and neuron in gradient descent training of multilayer perceptrons. IJCNN 1999: 1635-1638 - 1998
- [c2]Sang-Hoon Oh, Soo-Young Lee:
Accelerating the Learning Speed of Multilayer Perceptrons with a New Error Function for Hidden Layer. ICONIP 1998: 1008-1011 - 1997
- [j4]Sang-Hoon Oh
:
Improving the error backpropagation algorithm with a modified error function. IEEE Trans. Neural Networks 8(3): 799-803 (1997) - [c1]Sang-Hoon Oh
:
Generalization of the cross-entropy error function to improve the error backpropagation algorithm. ICNN 1997: 1856-1861 - 1995
- [j3]Sang-Hoon Oh
, Youngjik Lee:
Sensitivity analysis of single hidden-layer neural networks with threshold functions. IEEE Trans. Neural Networks 6(4): 1005-1007 (1995) - 1994
- [j2]Sang-Hoon Oh
, Youngjik Lee:
Effect of nonlinear transformations on correlation between weighted sums in multilayer perceptrons. IEEE Trans. Neural Networks 5(3): 508-510 (1994) - 1993
- [j1]Youngjik Lee, Sang-Hoon Oh
, Myung Won Kim:
An analysis of premature saturation in back propagation learning. Neural Networks 6(5): 719-728 (1993)
Coauthor Index
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