| Mercer’s theorem, feature maps, and smoothing HQ Minh, P Niyogi, Y Yao International Conference on Computational Learning Theory, 154-168, 2006 | 276 | 2006 |
| 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 | 128 | 2010 |
| A new kernel-based approach for nonlinearsystem identification G Pillonetto, MH Quang, A Chiuso IEEE Transactions on Automatic Control 56 (12), 2825-2840, 2011 | 127 | 2011 |
| 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 | 94 | 2014 |
| 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 | 86 | 2013 |
| 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 | 72 | 2016 |
| 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 | 69 | 2013 |
| 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 | 64 | 2010 |
| 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 | 60 | 2015 |
| Vector-valued manifold regularization HQ Minh, V Sindhwani International Conference on Machine Learning, 2011 | 58 | 2011 |
| 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 | 57 | 2012 |
| Covariances in computer vision and machine learning HQ Minh, V Murino Springer Nature, 2022 | 40 | 2022 |
| Entropy-regularized 2-Wasserstein distance between Gaussian measures A Mallasto, A Gerolin, HQ Minh Information Geometry 5 (1), 289-323, 2022 | 36 | 2022 |
| Infinite-dimensional Log-Determinant divergences between positive definite trace class operators HQ Minh Linear Algebra and Its Applications 528, 331-383, 2017 | 28 | 2017 |
| 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 | 23 | 2016 |
| 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 | 23 | 2013 |
| Reproducing kernel Hilbert spaces in learning theory MH Quang Brown University, 2006 | 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 | 20 | 2013 |
| Algorithmic advances in Riemannian geometry and applications HQ Minh, V Murino, HQ Minh Springer, 2016 | 18 | 2016 |
| 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 | 16 | 2022 |
Vittorio MurinoProfessor @ University of Verona. Former director of PAVIS @ Italian Institute of Technology.在 iit.it 的电子邮件经过验证
