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Activities
Sparse Representation of Gaussian Molecular Surface
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Reporter:
Minxin Chen, , Associate Professor, Department of Mathematics, Soochow University
Inviter:
Zhiming Chen, Academician
Subject:
Sparse Representation of Gaussian Molecular Surface
Time and place:
9:30-10:30 August 8(Monday), N204
Abstract:
In this talk, we propose a model and algorithm for sparse representing Gaussian molecular surface. By solving a nonlinear L1 optimization problem, the original Gaussian molecular surface is approximated by a relatively small number of radial basis functions (RBFs) with rotational ellipsoid feature. Experimental results demonstrate that the original Gaussian molecular surface is able to be represented with good accuracy by much fewer RBFs using our L1 model and algorithm. The sparse representation of Gaussian molecular surface is useful in various applications, such as molecular structure alignment, and this method in principle can be applied to sparse representation of general shapes and surfaces.