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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 9 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
ASPDAC
2009
ACM
143views Hardware» more  ASPDAC 2009»
14 years 2 months ago
Statistical modeling and analysis of chip-level leakage power by spectral stochastic method
In this paper, we present a novel statistical full-chip leakage power analysis method. The new method can provide a general framework to derive the full-chip leakage current or po...
Ruijing Shen, Ning Mi, Sheldon X.-D. Tan, Yici Cai...
ICASSP
2008
IEEE
14 years 2 months ago
Fast query by example of environmental sounds via robust and efficient cluster-based indexing
There has been much recent progress in the technical infrastructure necessary to continuously characterize and archive all sounds, or more precisely auditory streams, that occur w...
Jiachen Xue, Gordon Wichern, Harvey D. Thornburg, ...
VISUALIZATION
1995
IEEE
13 years 11 months ago
Fast Multiresolution Surface Meshing
We present a new method for adaptive surface meshing and triangulationwhichcontrolsthelocallevel–of–detailofthesurface approximation by local spectral estimates. These estimat...
Oliver G. Staadt, Markus H. Gross, Roger Gatti
CVPR
2008
IEEE
14 years 9 months ago
Large-scale manifold learning
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley