Minh Ha Quang
Minh Ha Quang
Unit Leader, Functional Analytic Learning Unit, RIKEN Center for Advanced Intelligence Project
Verified email at ieee.org - Homepage
TitleCited byYear
Mercer’s theorem, feature maps, and smoothing
HQ Minh, P Niyogi, Y Yao
International Conference on Computational Learning Theory, 154-168, 2006
1472006
A new kernel-based approach for nonlinearsystem identification
G Pillonetto, MH Quang, A Chiuso
IEEE Transactions on Automatic Control 56 (12), 2825-2840, 2011
742011
Some properties of Gaussian reproducing kernel Hilbert spaces and their implications for function approximation and learning theory
HQ Minh
Constructive Approximation 32 (2), 307-338, 2010
592010
Semi-supervised multi-feature learning for person re-identification
D Figueira, L Bazzani, HQ Minh, M Cristani, A Bernardino, V Murino
2013 10th IEEE International Conference on Advanced Video and Signal Based …, 2013
532013
A unifying framework for vector-valued manifold regularization and multi-view learning
MH Quang, L Bazzani, V Murino
International Conference on Machine Learning, 100-108, 2013
532013
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
MH Quang, M San Biagio, V Murino
Advances in Neural Information Processing Systems, 388-396, 2014
502014
Image and video colorization using vector-valued reproducing kernel Hilbert spaces
MH Quang, SH Kang, TM Le
Journal of Mathematical Imaging and Vision 37 (1), 49-65, 2010
472010
Vector-valued manifold regularization
HQ Minh, V Sindhwani
International Conference on Machine Learning, 2011
442011
A unifying framework in vector-valued reproducing kernel Hilbert spaces for manifold regularization and co-regularized multi-view learning
HQ Minh, L Bazzani, V Murino
The Journal of Machine Learning Research 17 (1), 769-840, 2016
382016
Scalable matrix-valued kernel learning for high-dimensional nonlinear multivariate regression and granger causality
V Sindhwani, MH Quang, AC Lozano
arXiv preprint arXiv:1210.4792, 2012
362012
Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices
L Dodero, HQ Minh, M San Biagio, V Murino, D Sona
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 42-45, 2015
232015
Reproducing kernel Hilbert spaces in learning theory
HQ Minh
22*2006
Multivariate slow feature analysis and decorrelation filtering for blind source separation
HQ Minh, L Wiskott
IEEE Transactions on Image Processing 22 (7), 2737-2750, 2013
182013
Trusting Skype: Learning the way people chat for fast user recognition and verification
G Roffo, M Cristani, L Bazzani, H Minh, V Murino
Proceedings of the IEEE International Conference on Computer Vision …, 2013
172013
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification
HQ Minh, M San Biagio, L Bazzani, V Murino
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
152016
Learning over compact metric spaces
HQ Minh, T Hofmann
International Conference on Computational Learning Theory, 239-254, 2004
132004
Infinite-dimensional Log-Determinant divergences between positive definite trace class operators
HQ Minh
Linear Algebra and its Applications 528, 331-383, 2017
122017
Affine-invariant Riemannian distance between infinite-dimensional covariance operators
HQ Minh
International Conference on Geometric Science of Information, 30-38, 2015
92015
A regularized spectral algorithm for hidden markov models with applications in computer vision
HQ Minh, M Cristani, A Perina, V Murino
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2384-2391, 2012
72012
The volume of Gaussian states by information geometry
D Felice, M Hà Quang, S Mancini
Journal of Mathematical Physics 58 (1), 012201, 2017
62017
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Articles 1–20