Ha Quang Minh

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 8

Top Topics

Image Classification

Reproducing Kernel Hilbert Space

Blind Source Separation

Gaussian Process

Top Venues

Publications

Ha Quang Minh
Estimation of Riemannian distances between covariance operators and Gaussian processes. CoRR (2021)
Ha Quang Minh
Log-Determinant Divergences Between Positive Definite Hilbert-Schmidt Operators. GSI (2017)
Ha Quang Minh
Operator-Valued Bochner Theorem, Fourier Feature Maps for Operator-Valued Kernels, and Vector-Valued Learning. CoRR (2016)
Ha Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification. CoRR (2016)
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 (2016)
Ha Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino
Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification. CVPR (2016)
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)
Ha Quang Minh
Affine-Invariant Riemannian Distance Between Infinite-Dimensional Covariance Operators. GSI (2015)
Vikas Sindhwani, Ha Quang Minh, Aurelie C. Lozano
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality. CoRR (2014)
Ha Quang Minh, Loris Bazzani, Vittorio Murino
A unifying framework for vector-valued manifold regularization and multi-view learning. ICML (2) (2013)
Dario Figueira, Loris Bazzani, Ha Quang Minh, Marco Cristani, Alexandre Bernardino, Vittorio Murino
Semi-supervised multi-feature learning for person re-identification. AVSS (2013)
Ha Quang Minh, Laurenz Wiskott
Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation. IEEE Trans. Image Process. 22 (7) (2013)
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)
Vikas Sindhwani, Ha Quang Minh, Aurelie C. Lozano
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality. UAI (2013)
Ha Quang Minh, Marco Cristani, Alessandro Perina, Vittorio Murino
A regularized spectral algorithm for Hidden Markov Models with applications in computer vision. CVPR (2012)
Vikas Sindhwani, Aurelie C. Lozano, Ha Quang Minh
Scalable Matrix-valued Kernel Learning and High-dimensional Nonlinear Causal Inference CoRR (2012)
Ha Quang Minh, Vikas Sindhwani
Vector-valued Manifold Regularization. ICML (2011)
Ha Quang Minh, Laurenz Wiskott
Slow feature analysis and decorrelation filtering for separating correlated sources. ICCV (2011)
Ha Quang Minh
The regularized least squares algorithm and the problem of learning halfspaces. Inf. Process. Lett. 111 (8) (2011)
Ha Quang Minh, Partha Niyogi, Yuan Yao
Mercer's Theorem, Feature Maps, and Smoothing. COLT (2006)
Ha Quang Minh, Thomas Hofmann
Learning Over Compact Metric Spaces. COLT (2004)