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» Comparison of Combination Methods using Spectral Clustering ...
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ICCD
2007
IEEE
157views Hardware» more  ICCD 2007»
15 years 6 months ago
Combining cluster sampling with single pass methods for efficient sampling regimen design
Microarchitectural simulation is orders of magnitude slower than native execution. As more elements are accurately modeled, problems associated with slow simulation are further ex...
Paul D. Bryan, Thomas M. Conte
HAIS
2011
Springer
14 years 1 months ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...
CORR
2010
Springer
249views Education» more  CORR 2010»
14 years 9 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
15 years 9 months ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
HUMO
2007
Springer
15 years 3 months ago
Robust Spectral 3D-Bodypart Segmentation Along Time
Abstract. In this paper we present a novel tool for body-part segmentation and tracking in the context of multiple camera systems. Our goal is to produce robust motion cues over ti...
Fabio Cuzzolin, Diana Mateus, Edmond Boyer, Radu H...