Sub-sampling for Efficient Spectral Mesh Processing

In this paper, we apply Nyström method, a sub-sampling and reconstruction technique, to speed up spectral mesh processing. We first relate this method to Kernel Principal Component Analysis (KPCA). This enables us to derive a novel measure in the form of a matrix trace, based soly on sampled data, t...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Liu, Rong, Jain, Varun, Zhang, Hao
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Kernel Principal Component Analysis Matrix Trace Pattern recognition. Digital image processing. Computational geometry Point Sampling Quality Measure Spectral Cluster
Online-Zugang:	Volltext
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