Pixel Club: Applications in Speech, Vision and Cognition

דובר:
הונגקאי זאהו (אונ' קליפורניה)
תאריך:
יום שלישי, 15.11.2016, 11:30
מקום:
חדר 337, בניין טאוב למדעי המחשב

​We present a general framework for solving partial differential equations on manifolds represented by meshless points, i.e. point clouds, without parameterization or connection information. Our method is based on a local approximation of the manifold as well as functions defined on the manifold, such as using least squares, simultaneously in a local intrinsic coordinate system constructed by local principal component analysis using K nearest neighbors. Once the local reconstruction is available, differential operators on the manifold can be approximated discretely. The framework extends to manifolds of any dimension. The complexity of our method scales well with the total number of points and the true dimension of the manifold (not the embedded dimension). The numerical algorithms, error analysis, and test examples are presented.​​

Bio:
Prof. Hongkai Zhao is a faculty member in the Mathematic Department at University of California, Irvine. His research interest is in computational and applied mathematics that includes modeling, analysis and developing numerical methods for problems arising from science and engineering.​

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