| Mercer’s theorem, feature maps, and smoothing HQ Minh, P Niyogi, Y Yao International Conference on Computational Learning Theory, 154-168, 2006 | 188 | 2006 |
| A new kernel-based approach for nonlinearsystem identification G Pillonetto, MH Quang, A Chiuso IEEE Transactions on Automatic Control 56 (12), 2825-2840, 2011 | 87 | 2011 |
| 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 | 78 | 2010 |
| 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 | 66 | 2013 |
| 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 | 65 | 2014 |
| 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 | 63 | 2013 |
| 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 | 56 | 2010 |
| 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-JMLR, 2016 | 45 | 2016 |
| 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 | 44 | 2012 |
| Vector-valued manifold regularization HQ Minh, V Sindhwani International Conference on Machine Learning, 2011 | 44 | 2011 |
| 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 | 25 | 2015 |
| Reproducing kernel Hilbert spaces in learning theory HQ Minh | 22* | 2006 |
| Infinite-dimensional Log-Determinant divergences between positive definite trace class operators HQ Minh Linear Algebra and Its Applications 528, 331-383, 2017 | 21 | 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 | 19 | 2016 |
| 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 | 19 | 2013 |
| 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 | 19 | 2013 |
| Learning over compact metric spaces HQ Minh, T Hofmann International Conference on Computational Learning Theory, 239-254, 2004 | 15 | 2004 |
| Covariances in computer vision and machine learning HQ Minh, V Murino Synthesis Lectures on Computer Vision 7 (4), 1-170, 2017 | 14 | 2017 |
| Affine-invariant Riemannian distance between infinite-dimensional covariance operators HQ Minh International Conference on Geometric Science of Information, 30-38, 2015 | 12 | 2015 |
| Algorithmic Advances in Riemannian Geometry and Applications HQ Minh, V Murino, HQ Minh Springer, 2016 | 9 | 2016 |
Vittorio MurinoProfessor, University of Verona - Former director of PAVIS @ Italian Institute of Technology, ItalyEmail verificata su iit.it
