Hao Shen
Hao Shen
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning
J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold
Mechatronics 34, 1-11, 2016
Joint matrices decompositions and blind source separation: A survey of methods, identification, and applications
G Chabriel, M Kleinsteuber, E Moreau, H Shen, P Tichavsky, A Yeredor
IEEE Signal Processing Magazine 31 (3), 34-43, 2014
First steps towards an intelligent laser welding architecture using deep neural networks and reinforcement learning
J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold
2nd International Conference on System-Integrated Intelligence: Challenges …, 2014
Fast kernel-based independent component analysis
H Shen, S Jegelka, A Gretton
IEEE transactions on signal processing 57 (9), 3498-3511, 2009
Blind source separation with compressively sensed linear mixtures
M Kleinsteuber, H Shen
IEEE signal processing letters 19 (2), 107-110, 2011
Local convergence analysis of FastICA and related algorithms
H Shen, M Kleinsteuber, K Hüper
Neural Networks, IEEE Transactions on 19 (6), 1022-1032, 2008
Reconstructible nonlinear dimensionality reduction via joint dictionary learning
X Wei, H Shen, Y Li, X Tang, F Wang, M Kleinsteuber, YL Murphey
IEEE transactions on neural networks and learning systems 30 (1), 175-189, 2018
Towards a mathematical understanding of the difficulty in learning with feedforward neural networks
H Shen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
HRTF customization using multiway array analysis
M Rothbucher, M Durkovic, H Shen, K Diepold
18th European Signal Processing Conference, EUSIPCO 2010, 229-233, 2010
Formation control using GQ (λ) reinforcement learning
M Knopp, C Aykın, J Feldmaier, H Shen
2017 26th IEEE International Symposium on Robot and Human Interactive …, 2017
Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition
X Wei, Y Li, H Shen, W Xiang, YL Murphey
Pattern Recognition 66, 412-424, 2017
Uniqueness analysis of non-unitary matrix joint diagonalization
M Kleinsteuber, H Shen
IEEE Transactions on Signal Processing 61 (7), 1786-1796, 2013
Video is a cube
C Keimel, M Rothbucher, H Shen, K Diepold
IEEE Signal Processing Magazine 28 (6), 41-49, 2011
Fast kernel ICA using an approximate newton method
H Shen, S Jegelka, A Gretton
International Conference on Artificial Intelligence and Statistics, 476-483, 2007
Complex blind source separation via simultaneous strong uncorrelating transform
H Shen, M Kleinsteuber
International Conference on Latent Variable Analysis and Signal Separation …, 2010
Trace quotient meets sparsity: A method for learning low dimensional image representations
X Wei, H Shen, M Kleinsteuber
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Dynamical Textures Modeling via Joint Video Dictionary Learning
X Wei, Y Li, H Shen, F Chen, M Kleinsteuber, Z Wang
IEEE Transactions on Image Processing 26 (6), 2929-2943, 2017
A conjugate gradient algorithm for blind sensor calibration in sparse recovery
H Shen, M Kleinsteuber, C Bilen, R Gribonval
Machine Learning for Signal Processing (MLSP), 2013 IEEE International …, 2013
Block Jacobi-type methods for non-orthogonal joint diagonalisation
H Shen, K Hüper
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009
An adaptive dictionary learning approach for modeling dynamical textures
X Wei, H Shen, M Kleinsteuber
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
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