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» Semidefinite spectral clustering
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ASPDAC
1999
ACM
122views Hardware» more  ASPDAC 1999»
15 years 2 months ago
A Clustering Based Linear Ordering Algorithm for K-Way Spectral Partitioning
The spectral method can lead to a high quality of multi-way partition due to its ability to capture global netlist information. For spectral partition, n netlist modules are mappe...
Shiuann-Shiuh Lin, Wen-Hsin Chen, Wen-Wei Lin, Tin...
WISE
2009
Springer
15 years 6 months ago
Spectral Clustering in Social-Tagging Systems
Social tagging is an increasingly popular phenomenon with substantial impact on the way we perceive and understand the Web. For the many Web resources that are not self-descriptive...
Alexandros Nanopoulos, Hans-Henning Gabriel, Myra ...
ICPR
2010
IEEE
15 years 1 months ago
Multiple Atlas Inference and Population Analysis with Spectral Clustering
In medical imaging, constructing an atlas and bringing an image set in a single common reference frame may easily lead the analysis to erroneous conclusions, especially when the po...
Giorgos Sfikas, Christian Heinrich, Christophoros ...
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ICASSP
2011
IEEE
14 years 1 months ago
Artificial bandwidth extension of spectral envelope with temporal clustering
We present a new wideband spectral envelope estimation framework for the artificial bandwidth extension problem. The proposed framework builds temporal clusters of the joint sub-...
Can Yagli, Engin Erzin
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang