Spectral Kernels for Probabilistic Analysis and Clustering of Shapes

IPMI, pp. 67-79, 2017.

Cited by: 3|Bibtex|Views53|Links
EI

Abstract:

We propose a framework for probabilistic shape clustering based on kernel-space embeddings derived from spectral signatures. Our root motivation is to investigate practical yet principled clustering schemes that rely on geometrical invariants of shapes rather than explicit registration. To that end we revisit the use of the Laplacian spec...More

Code:

Data:

Your rating :
0

 

Tags
Comments