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ORCIDHà Quang Minh
Person information
- affiliation: RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- affiliation (former): Istituto Italiano di Tecnologia, Genoa, Italy
- affiliation (former): Humboldt University of Berlin, Germany
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2020 – today
- 2023
[c18]Hà Quang Minh
:
Fisher-Rao Riemannian Geometry of Equivalent Gaussian Measures on Hilbert Space. GSI (1) 2023: 416-425- 2022
- [j6]Hà Quang Minh:
Finite Sample Approximations of Exact and Entropic Wasserstein Distances Between Covariance Operators and Gaussian Processes. SIAM/ASA J. Uncertain. Quantification 10(1): 96-124 (2022) - [i11]Minh Ha Quang:
Kullback-Leibler and Renyi divergences in reproducing kernel Hilbert space and Gaussian process settings. CoRR abs/2207.08406 (2022) - 2021
- [c17]Hà Quang Minh:
Quantum Jensen-Shannon Divergences Between Infinite-Dimensional Positive Definite Operators. GSI 2021: 154-162 - [i10]Minh Ha Quang:
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings. CoRR abs/2101.01429 (2021) - [i9]Minh Ha Quang:
Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes. CoRR abs/2104.12368 (2021) - [i8]Ha Quang Minh:
Estimation of Riemannian distances between covariance operators and Gaussian processes. CoRR abs/2108.11683 (2021) - 2020
- [i7]Anton Mallasto, Augusto Gerolin, Hà Quang Minh:
Entropy-Regularized 2-Wasserstein Distance between Gaussian Measures. CoRR abs/2006.03416 (2020) - [i6]Minh Ha Quang:
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes. CoRR abs/2011.07489 (2020)
2010 – 2019
- 2019
- [c16]Hà Quang Minh:
Approximate Log-Determinant Divergences Between Covariance Operators and Applications. ACSSC 2019: 517-521 - [c15]Hà Quang Minh:
A Unified Formulation for the Bures-Wasserstein and Log-Euclidean/Log-Hilbert-Schmidt Distances between Positive Definite Operators. GSI 2019: 475-483 - 2017
- [b1]Ha Quang Minh, Vittorio Murino:
Covariances in Computer Vision and Machine Learning. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00692-0 - [c14]Ha Quang Minh:
Log-Determinant Divergences Between Positive Definite Hilbert-Schmidt Operators. GSI 2017: 505-513 - 2016
- [j5]Ha Quang Minh, Loris Bazzani, Vittorio Murino:
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning. J. Mach. Learn. Res. 17: 25:1-25:72 (2016) - [c13]Ha Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino:
Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification. CVPR 2016: 5195-5203 - [i5]Ha Quang Minh:
Operator-Valued Bochner Theorem, Fourier Feature Maps for Operator-Valued Kernels, and Vector-Valued Learning. CoRR abs/1608.05639 (2016) - [i4]Ha Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino:
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification. CoRR abs/1609.09251 (2016) - [i3]Minh Ha Quang:
Infinite-dimensional Log-Determinant divergences II: Alpha-Beta divergences. CoRR abs/1610.08087 (2016) - 2015
- [c12]Ha Quang Minh:
Affine-Invariant Riemannian Distance Between Infinite-Dimensional Covariance Operators. GSI 2015: 30-38 - [c11]Luca Dodero, Ha Quang Minh, Marco San-Biagio, Vittorio Murino, Diego Sona:
Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices. ISBI 2015: 42-45 - 2014
- [c10]Minh Ha Quang, Marco San-Biagio, Vittorio Murino:
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces. NIPS 2014: 388-396 - [i2]Vikas Sindhwani, Ha Quang Minh, Aurélie C. Lozano:
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality. CoRR abs/1408.2066 (2014) - 2013
- [j4]Ha Quang Minh, Laurenz Wiskott:
Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation. IEEE Trans. Image Process. 22(7): 2737-2750 (2013) - [c9]Dario Figueira, Loris Bazzani, Ha Quang Minh, Marco Cristani, Alexandre Bernardino, Vittorio Murino:
Semi-supervised multi-feature learning for person re-identification. AVSS 2013: 111-116 - [c8]Giorgio Roffo, Marco Cristani, Loris Bazzani, Ha Quang Minh, Vittorio Murino:
Trusting Skype: Learning the Way People Chat for Fast User Recognition and Verification. ICCV Workshops 2013: 748-754 - [c7]Ha Quang Minh, Loris Bazzani, Vittorio Murino:
A unifying framework for vector-valued manifold regularization and multi-view learning. ICML (2) 2013: 100-108 - [c6]Vikas Sindhwani, Ha Quang Minh, Aurélie C. Lozano:
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality. UAI 2013 - 2012
- [c5]Ha Quang Minh, Marco Cristani, Alessandro Perina, Vittorio Murino:
A regularized spectral algorithm for Hidden Markov Models with applications in computer vision. CVPR 2012: 2384-2391 - [i1]Vikas Sindhwani, Aurélie C. Lozano, Ha Quang Minh:
Scalable Matrix-valued Kernel Learning and High-dimensional Nonlinear Causal Inference. CoRR abs/1210.4792 (2012) - 2011
- [j3]Ha Quang Minh:
The regularized least squares algorithm and the problem of learning halfspaces. Inf. Process. Lett. 111(8): 395-401 (2011) - [j2]Gianluigi Pillonetto, Minh Ha Quang, Alessandro Chiuso:
A New Kernel-Based Approach for NonlinearSystem Identification. IEEE Trans. Autom. Control. 56(12): 2825-2840 (2011) - [c4]Ha Quang Minh, Laurenz Wiskott:
Slow feature analysis and decorrelation filtering for separating correlated sources. ICCV 2011: 866-873 - [c3]Ha Quang Minh, Vikas Sindhwani:
Vector-valued Manifold Regularization. ICML 2011: 57-64 - 2010
- [j1]Minh Ha Quang, Sung Ha Kang, Triet M. Le:
Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces. J. Math. Imaging Vis. 37(1): 49-65 (2010)
2000 – 2009
- 2006
- [c2]Ha Quang Minh, Partha Niyogi, Yuan Yao:
Mercer's Theorem, Feature Maps, and Smoothing. COLT 2006: 154-168 - 2004
- [c1]Ha Quang Minh, Thomas Hofmann:
Learning Over Compact Metric Spaces. COLT 2004: 239-254
Coauthor Index
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