Hà Quang Minh
Orcid: 0000-0003-3926-8875Affiliations:
- RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Istituto Italiano di Tecnologia, Genoa, Italy (former)
- Humboldt University of Berlin, Germany (former)
According to our database1,
Hà Quang Minh
authored at least 34 papers
between 2004 and 2023.
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Bibliography
2023
Proceedings of the Geometric Science of Information - 6th International Conference, 2023
2022
Finite Sample Approximations of Exact and Entropic Wasserstein Distances Between Covariance Operators and Gaussian Processes.
SIAM/ASA J. Uncertain. Quantification, 2022
Kullback-Leibler and Renyi divergences in reproducing kernel Hilbert space and Gaussian process settings.
CoRR, 2022
2021
Estimation of Riemannian distances between covariance operators and Gaussian processes.
CoRR, 2021
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings.
CoRR, 2021
Quantum Jensen-Shannon Divergences Between Infinite-Dimensional Positive Definite Operators.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021
2020
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes.
CoRR, 2020
2019
A Unified Formulation for the Bures-Wasserstein and Log-Euclidean/Log-Hilbert-Schmidt Distances between Positive Definite Operators.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019
Approximate Log-Determinant Divergences Between Covariance Operators and Applications.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2017
Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, ISBN: 978-3-031-01820-6, 2017
Proceedings of the Geometric Science of Information - Third International Conference, 2017
2016
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning.
J. Mach. Learn. Res., 2016
CoRR, 2016
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification.
CoRR, 2016
Operator-Valued Bochner Theorem, Fourier Feature Maps for Operator-Valued Kernels, and Vector-Valued Learning.
CoRR, 2016
Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Affine-Invariant Riemannian Distance Between Infinite-Dimensional Covariance Operators.
Proceedings of the Geometric Science of Information - Second International Conference, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation.
IEEE Trans. Image Process., 2013
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
A unifying framework for vector-valued manifold regularization and multi-view learning.
Proceedings of the 30th International Conference on Machine Learning, 2013
Trusting Skype: Learning the Way People Chat for Fast User Recognition and Verification.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013
Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013
2012
Scalable Matrix-valued Kernel Learning and High-dimensional Nonlinear Causal Inference
CoRR, 2012
A regularized spectral algorithm for Hidden Markov Models with applications in computer vision.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
IEEE Trans. Autom. Control., 2011
Inf. Process. Lett., 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
J. Math. Imaging Vis., 2010
2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
2004
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004