Ha Quang Minh - RankMe

23 papers A* 6A 1B 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data. CoRR Guillaume Braun, Bruno Loureiro, Ha Quang Minh, Masaaki Imaizumi
2021	J	`jnl`	Estimation of Riemannian distances between covariance operators and Gaussian processes. CoRR Ha Quang Minh
2017	—	`book`	Covariances in Computer Vision and Machine Learning Ha Quang Minh, Vittorio Murino
2017	—	`conf`	Log-Determinant Divergences Between Positive Definite Hilbert-Schmidt Operators. GSI Ha Quang Minh
2016	J	`jnl`	A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning. J. Mach. Learn. Res. Ha Quang Minh, Loris Bazzani, Vittorio Murino
2016	A*	`conf`	Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification. CVPR Ha Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino
2016	J	`jnl`	Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification. CoRR Ha Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino
2016	J	`jnl`	Operator-Valued Bochner Theorem, Fourier Feature Maps for Operator-Valued Kernels, and Vector-Valued Learning. CoRR Ha Quang Minh
2015	—	`conf`	Affine-Invariant Riemannian Distance Between Infinite-Dimensional Covariance Operators. GSI Ha Quang Minh
2015	—	`conf`	Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices. ISBI Luca Dodero, Ha Quang Minh, Marco San-Biagio, Vittorio Murino, Diego Sona
2014	J	`jnl`	Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality. CoRR Vikas Sindhwani, Ha Quang Minh, Aurélie C. Lozano
2013	—	`conf`	A unifying framework for vector-valued manifold regularization and multi-view learning. ICML (2) Ha Quang Minh, Loris Bazzani, Vittorio Murino
2013	J	`jnl`	Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation. IEEE Trans. Image Process. Ha Quang Minh, Laurenz Wiskott
2013	A	`conf`	Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality. UAI Vikas Sindhwani, Ha Quang Minh, Aurélie C. Lozano
2013	B	`conf`	Semi-supervised multi-feature learning for person re-identification. AVSS Dario Figueira, Loris Bazzani, Ha Quang Minh, Marco Cristani, Alexandre Bernardino, Vittorio Murino
2013	—	`conf`	Trusting Skype: Learning the Way People Chat for Fast User Recognition and Verification. ICCV Workshops Giorgio Roffo, Marco Cristani, Loris Bazzani, Ha Quang Minh, Vittorio Murino
2012	A*	`conf`	A regularized spectral algorithm for Hidden Markov Models with applications in computer vision. CVPR Ha Quang Minh, Marco Cristani, Alessandro Perina, Vittorio Murino
2012	J	`jnl`	Scalable Matrix-valued Kernel Learning and High-dimensional Nonlinear Causal Inference CoRR Vikas Sindhwani, Aurélie C. Lozano, Ha Quang Minh
2011	A*	`conf`	Slow feature analysis and decorrelation filtering for separating correlated sources. ICCV Ha Quang Minh, Laurenz Wiskott
2011	J	`jnl`	The regularized least squares algorithm and the problem of learning halfspaces. Inf. Process. Lett. Ha Quang Minh
2011	A*	`conf`	Vector-valued Manifold Regularization. ICML Ha Quang Minh, Vikas Sindhwani
2006	A*	`conf`	Mercer's Theorem, Feature Maps, and Smoothing. COLT Ha Quang Minh, Partha Niyogi, Yuan Yao
2004	A*	`conf`	Learning Over Compact Metric Spaces. COLT Ha Quang Minh, Thomas Hofmann