H. Q. Minh

发表

Affine-Invariant Riemannian Distance Between Infinite-Dimensional Covariance Operators

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

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

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

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.

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

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

Some Properties of Gaussian Reproducing Kernel Hilbert Spaces and Their Implications for Function Approximation and Learning Theory

H. Minh, H. Q. Minh, 2010 .

Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation

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

Slow feature analysis and decorrelation filtering for separating correlated sources

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

Covariances in Computer Vision and Machine Learning

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

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.

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 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..

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).

LEARNING WITH POLYNOMIAL AND GAUSSIAN SPACES-PART I

H. Q. Minh, 2005 .

Mercer's Theorem, Feature Maps, and Smoothing

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

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

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

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

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

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.

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.

Estimation of Riemannian distances between covariance operators and Gaussian processes pdf

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

Approximate Log-Determinant Divergences Between Covariance Operators and Applications

Hà Quang Minh, H. Q. Minh, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Alpha-Beta Log-Determinant Divergences Between Positive Definite Trace Class Operators

H. Minh, H. Q. Minh, 2019, Information Geometry.

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

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

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

H. Minh, H. Q. Minh, 2017, Positivity.

Infinite-Dimensional Log-Determinant Divergences III: Log-Euclidean and Log-Hilbert–Schmidt Divergences

H. Minh, H. Q. Minh, 2016 .

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

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

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.

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

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

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).

The volume of Gaussian states by information geometry

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

Entropy-regularized 2-Wasserstein distance between Gaussian measures pdf

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

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

H. Q. Minh, 2021, SIAM/ASA J. Uncertain. Quantification.

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.

A New Kernel-Based Approach for NonlinearSystem Identification

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

Affine-Invariant Riemannian Distance Between Infinite-Dimensional Covariance Operators

H. Q. Minh, 2015, GSI.

Learning Over Compact Metric Spaces

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