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Minh Ha Quang
Minh Ha Quang
Team Leader, RIKEN Center for Advanced Intelligence Project
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Mercer’s theorem, feature maps, and smoothing
HQ Minh, P Niyogi, Y Yao
International Conference on Computational Learning Theory, 154-168, 2006
2772006
Some properties of Gaussian reproducing kernel Hilbert spaces and their implications for function approximation and learning theory
HQ Minh
Constructive Approximation 32, 307-338, 2010
1282010
A new kernel-based approach for nonlinearsystem identification
G Pillonetto, MH Quang, A Chiuso
IEEE Transactions on Automatic Control 56 (12), 2825-2840, 2011
1272011
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
M Ha Quang, M San Biagio, V Murino
Advances in neural information processing systems 27, 2014
942014
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
862013
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
Journal of Machine Learning Research 17 (25), 1-72, 2016
722016
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
692013
Image and video colorization using vector-valued reproducing kernel Hilbert spaces
M Ha Quang, SH Kang, TM Le
Journal of Mathematical Imaging and Vision 37 (1), 49-65, 2010
642010
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
602015
Vector-valued manifold regularization
HQ Minh, V Sindhwani
International Conference on Machine Learning, 2011
582011
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
572012
Covariances in computer vision and machine learning
HQ Minh, V Murino
Springer Nature, 2022
402022
Entropy-regularized 2-Wasserstein distance between Gaussian measures
A Mallasto, A Gerolin, HQ Minh
Information Geometry 5 (1), 289-323, 2022
362022
Infinite-dimensional Log-Determinant divergences between positive definite trace class operators
HQ Minh
Linear Algebra and Its Applications 528, 331-383, 2017
282017
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
232016
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
232013
Reproducing kernel Hilbert spaces in learning theory
MH Quang
Brown University, 2006
222006
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
202013
Algorithmic advances in Riemannian geometry and applications
HQ Minh, V Murino, HQ Minh
Springer, 2016
182016
Alpha Procrustes metrics between positive definite operators: a unifying formulation for the Bures-Wasserstein and Log-Euclidean/Log-Hilbert-Schmidt metrics
HQ Minh
Linear Algebra and its Applications 636, 25-68, 2022
162022
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