Spremljaj
Minh Ha Quang
Minh Ha Quang
Team Leader, RIKEN Center for Advanced Intelligence Project
Preverjeni e-poštni naslov na ieee.org - Domača stran
Naslov
Navedeno
Navedeno
Leto
Mercer’s theorem, feature maps, and smoothing
HQ Minh, P Niyogi, Y Yao
International Conference on Computational Learning Theory, 154-168, 2006
2882006
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
1432010
A new kernel-based approach for nonlinearsystem identification
G Pillonetto, MH Quang, A Chiuso
IEEE Transactions on Automatic Control 56 (12), 2825-2840, 2011
1382011
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
1042014
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
882013
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
792016
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
722013
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
652015
Vector-valued manifold regularization
HQ Minh, V Sindhwani
International Conference on Machine Learning, 2011
642011
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
622010
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
592012
Entropy-regularized 2-Wasserstein distance between Gaussian measures
A Mallasto, A Gerolin, HQ Minh
Information Geometry 5 (1), 289-323, 2022
502022
Covariances in computer vision and machine learning
HQ Minh, V Murino
Morgan & Claypool Publishers, 2017
462017
Infinite-dimensional Log-Determinant divergences between positive definite trace class operators
HQ Minh
Linear Algebra and Its Applications 528, 331-383, 2017
292017
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
242016
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
Operator-valued Bochner theorem, Fourier feature maps for operator-valued kernels, and vector-valued learning
HQ Minh
arXiv preprint arXiv:1608.05639, 2016
222016
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
212013
Algorithmic advances in Riemannian geometry and applications
HQ Minh, V Murino, HQ Minh
Springer, 2016
192016
Sistem trenutno ne more izvesti postopka. Poskusite znova pozneje.
Članki 1–20