Abstract: Under the linear spectral mixture model, hyperspectral unmixing can be considered as a convex geometry problem, in which the endmembers are located in the vertices of simplex enclosing the ...

Abstract: Data clustering is the process of identifying natural groupings or clusters based on a certain similarity measure in muti-dimensional data. Aiming at the dynamic clustering problem where the ...

Source code for the paper: Jingwei Huang, Yichao Zhou, Matthias Niessner, Jonathan Shewchuk and Leonidas Guibas. QuadriFlow: A Scalable and Robust Method for Quadrangulation, The Eurographics ...

An international research team led by the A*STAR Genome Institute of Singapore (A*STAR GIS) has developed HERRO, an ...

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ITCS, Universal Matrix Sparsifiers and Fast Deterministic Algorithms and Fast Deterministic Algorithms for Linear Algebra Full version on arXiv with Rajarshi Bhattacharjee, Gregory Dexter, Cameron ...