Ha Quang Minh

发表

A New Kernel-Based Approach for NonlinearSystem Identification

Alessandro Chiuso, Gianluigi Pillonetto, Ha Quang Minh, 2011, IEEE Transactions on Automatic Control.

Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality pdf

Vikas Sindhwani, Aurelie C. Lozano, Ha Quang Minh, 2012, UAI.

Entropic Regularization of Wasserstein Distance Between Infinite-Dimensional Gaussian Measures and Gaussian Processes pdf

Ha Quang Minh, H. Q. Minh, 2022, Journal of Theoretical Probability.

Semi-supervised multi-feature learning for person re-identification

Vittorio Murino, Alexandre Bernardino, Marco Cristani, 2013, 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance.

The regularized least squares algorithm and the problem of learning halfspaces

Ha Quang Minh, 2011, Inf. Process. Lett..

Entropy-regularized 2-Wasserstein distance between Gaussian measures pdf

Anton Mallasto, Ha Quang Minh, Augusto Gerolin, 2020, Information Geometry.

Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation

Laurenz Wiskott, Ha Quang Minh, Laurenz Wiskott, 2013, IEEE Transactions on Image Processing.

Vector-valued Manifold Regularization

Vikas Sindhwani, Ha Quang Minh, 2011, ICML.

Algorithmic Advances in Riemannian Geometry and Applications

Vittorio Murino, Ha Quang Minh, 2016, Advances in Computer Vision and Pattern Recognition.

A regularized spectral algorithm for Hidden Markov Models with applications in computer vision

Alessandro Perina, Vittorio Murino, Marco Cristani, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Covariances in Computer Vision and Machine Learning

Vittorio Murino, Ha Quang Minh, Vittorio Murino, 2017, Covariances in Computer Vision and Machine Learning.

Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings pdf

Ha Quang Minh, 2021, ArXiv.

Affine-Invariant Riemannian Distance Between Infinite-Dimensional Covariance Operators

Ha Quang Minh, H. Q. Minh, 2015, GSI.

Slow feature analysis and decorrelation filtering for separating correlated sources

Laurenz Wiskott, Ha Quang Minh, Laurenz Wiskott, 2011, 2011 International Conference on Computer Vision.

Infinite-dimensional Log-Determinant divergences between positive definite Hilbert–Schmidt operators

Ha Quang Minh, H. Q. Minh, 2017, Positivity.

Operator-Valued Bochner Theorem, Fourier Feature Maps for Operator-Valued Kernels, and Vector-Valued Learning pdf

Ha Quang Minh, H. Q. Minh, 2016, ArXiv.

A unifying framework for vector-valued manifold regularization and multi-view learning

Vittorio Murino, Loris Bazzani, Ha Quang Minh, 2013, ICML.

Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification

Vittorio Murino, Loris Bazzani, Marco San-Biagio, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Mercer's Theorem, Feature Maps, and Smoothing

Yuan Yao, Partha Niyogi, Ha Quang Minh, 2006, COLT.

Trusting Skype: Learning the Way People Chat for Fast User Recognition and Verification

Vittorio Murino, Marco Cristani, Loris Bazzani, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces

Sung Ha Kang, Ha Quang Minh, Triet M. Le, 2010, Journal of Mathematical Imaging and Vision.

A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning

Vittorio Murino, Loris Bazzani, Ha Quang Minh, 2014, J. Mach. Learn. Res..

Evaluating spam detection techniques using ranking algorithm in email network at Hanoi University

Ha Quang Minh, Tran Quang Anh, Vu Minh Tuan, 2014 .

Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces

Vittorio Murino, Marco San-Biagio, Ha Quang Minh, 2014, NIPS.

Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices

Vittorio Murino, Diego Sona, Marco San-Biagio, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Scalable Matrix-valued Kernel Learning and High-dimensional Nonlinear Causal Inference pdf

Vikas Sindhwani, Aurelie C. Lozano, Ha Quang Minh, 2012, ArXiv.

Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification pdf

Vittorio Murino, Loris Bazzani, Marco San-Biagio, 2016, ArXiv.

Learning Over Compact Metric Spaces

Thomas Hofmann, Ha Quang Minh, Thomas Hofmann, 2004, COLT.

Estimation of Riemannian distances between covariance operators and Gaussian processes pdf

Ha Quang Minh, H. Q. Minh, 2020, ArXiv.

Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes pdf

Ha Quang Minh, 2021, ArXiv.

Infinite-dimensional Log-Determinant divergences between positive definite trace class operators

Ha Quang Minh, H. Q. Minh, 2017 .

From Covariance Matrices to Covariance Operators: Data Representation from Finite to Infinite-Dimensional Settings

Vittorio Murino, Ha Quang Minh, Vittorio Murino, 2016 .

The volume of Gaussian states by information geometry

Stefano Mancini, Domenico Felice, Ha Quang Minh, 2015, 1509.01049.