For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...
description The paper proposes DeepEISNN, a normalization-free learning framework based on cortical excitatory-inhibitory (E-I) circuits. By implementing E-I Init and E-I Prop, it achieves stable ...
description [ICLR 2026][SPD manifolds] This work reveals a simple product structure on Cholesky manifolds, leading to two fast and numerically stable SPD metrics (PCM and BWCM). All Riemannian ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
Data tend to live in low-dimensional nonlinear subspaces. The framework of Riemannian geometry can take such nonlinearity into account: If set up properly, data seem to lie on low-dimensional linear ...
Despite the success of multiscale modeling in science and engineering, embedding molecular-level information into nonlinear reactor design and control optimization problems remains challenging. In ...
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