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ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
15 years 8 months ago
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering
Most research on Internet topology is based on active measurement methods. A major difficulty in using these tools is that one comes across many unresponsive routers. Different m...
Anat Almog, Jacob Goldberger, Yuval Shavitt
ICB
2007
Springer
142views Biometrics» more  ICB 2007»
15 years 6 months ago
Speaker Verification with Adaptive Spectral Subband Centroids
Abstract. Spectral subband centroids (SSC) have been used as an additional feature to cepstral coefficients in speech and speaker recognition. SSCs are computed as the centroid fre...
Tomi Kinnunen, Bingjun Zhang, Jia Zhu, Ye Wang
138
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ICML
2003
IEEE
16 years 3 months ago
Transductive Learning via Spectral Graph Partitioning
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
Thorsten Joachims
SIGGRAPH
2000
ACM
15 years 6 months 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
GECCO
2004
Springer
15 years 7 months ago
A Caching Genetic Algorithm for Spectral Breakpoint Matching
Abstract. Two methods were evaluated for performing spectral breakpoint matching: a multi-level pruned exhaustive search and a genetic algorithm. The GA found matches about as good...
Jonathan Mohr, Xiaobo Li