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» A clustering method that uses lossy aggregation of data
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ICDE
2005
IEEE
185views Database» more  ICDE 2005»
14 years 10 months ago
A Multiresolution Symbolic Representation of Time Series
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...
Vasileios Megalooikonomou, Qiang Wang, Guo Li, Chr...
ISPD
2005
ACM
188views Hardware» more  ISPD 2005»
14 years 2 months ago
A semi-persistent clustering technique for VLSI circuit placement
Placement is a critical component of today's physical synthesis flow with tremendous impact on the final performance of VLSI designs. However, it accounts for a significant p...
Charles J. Alpert, Andrew B. Kahng, Gi-Joon Nam, S...
IPCCC
2005
IEEE
14 years 2 months ago
SECK: survivable and efficient clustered keying for wireless sensor networks
A wireless sensor network (WSN) typically consists of a large number of small sensor nodes and one or more highend control and data aggregation nodes. Sensor nodes have limited co...
Michael Chorzempa, Jung Min Park, Mohamed Eltoweis...
IJON
2006
169views more  IJON 2006»
13 years 9 months ago
Denoising using local projective subspace methods
In this paper we present denoising algorithms for enhancing noisy signals based on Local ICA (LICA), Delayed AMUSE (dAMUSE) and Kernel PCA (KPCA). The algorithm LICA relies on app...
Peter Gruber, Kurt Stadlthanner, Matthias Böh...
CVPR
2011
IEEE
13 years 26 days ago
Max-margin Clustering: Detecting Margins from Projections of Points on Lines
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
Raghuraman Gopalan, Jagan Sankaranarayanan