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» Limits of Spectral Clustering
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ASPDAC
1999
ACM
122views Hardware» more  ASPDAC 1999»
14 years 22 days 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
14 years 5 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
13 years 12 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 ...
ICASSP
2011
IEEE
13 years 4 days 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»
14 years 2 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