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ICPR
2008
IEEE
14 years 2 months ago
Kernel functions for robust 3D surface registration with spectral embeddings
Registration of 3D surfaces is a critical step for shape analysis. Recent studies show that spectral representations based on intrinsic pairwise geodesic distances between points ...
Xiuwen Liu, Arturo Donate, Matthew Jemison, Washin...
IJCNN
2007
IEEE
14 years 2 months ago
Spectral Clustering of Synchronous Spike Trains
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
António R. C. Paiva, Sudhir Rao, Il Park, J...
SIGGRAPH
2000
ACM
14 years 6 days ago
Spectral compression of mesh geometry
We show how spectral methods may be applied to 3D mesh data to obtain compact representations. This is achieved by projecting the mesh geometry onto an orthonormal basis derived f...
Zachi Karni, Craig Gotsman
ICML
2010
IEEE
13 years 6 months ago
Multiple Non-Redundant Spectral Clustering Views
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...
Donglin Niu, Jennifer G. Dy, Michael I. Jordan
JMLR
2011
133views more  JMLR 2011»
13 years 2 months ago
Operator Norm Convergence of Spectral Clustering on Level Sets
Following Hartigan (1975), a cluster is defined as a connected component of the t-level set of the underlying density, that is, the set of points for which the density is greater...
Bruno Pelletier, Pierre Pudlo