11 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2016★ 2 cited
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification
Hà Quang Minh, Marco San Biagio, Loris Bazzani +1
This paper presents a novel framework for visual object recognition using infinite-dimensional covariance operators of input features in the paradigm of kernel methods on infinite-…
cs.LG2016★ 11 cited
Operator-Valued Bochner Theorem, Fourier Feature Maps for Operator-Valued Kernels, and Vector-Valued Learning
Ha Quang Minh
This paper presents a framework for computing random operator-valued feature maps for operator-valued positive definite kernels. This is a generalization of the random Fourier feat…
cs.LG2014
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality
Vikas Sindhwani, Ha Quang Minh, Aurelie Lozano
We propose a general matrix-valued multiple kernel learning framework for high-dimensional nonlinear multivariate regression problems. This framework allows a broad class of mixed…