no code implementations • 22 Jul 2021 • Mingyuan Bai, S. T. Boris Choy, Junping Zhang, Junbin Gao
In this paper, we propose a neural ODE model for evolutionary subspace clustering to overcome this limitation and a new objective function with subspace self-expressiveness constraint is introduced.
no code implementations • 15 Nov 2019 • Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
These geometrical features of CMM have paved the way for developing numerical Riemannian optimization algorithms such as Riemannian gradient descent and Riemannian trust-region algorithms, forming a uniform optimization method for all types of OT problems.
no code implementations • 14 Aug 2019 • Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao
Thus, we propose a tensor-train parameterization for ultra dimensionality reduction (TTPUDR) in which the traditional LPP mapping is tensorized in terms of tensor-trains and the LPP objective is replaced with the Frobenius norm to increase the robustness of the model.