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TVCG
1998
125views more  TVCG 1998»
13 years 8 months ago
Structure-Significant Representation of Structured Datasets
—Numerical simulation of physical phenomena is now an accepted way of scientific inquiry. However, the field is still evolving, with a profusion of new solution and grid-generati...
Raghu Machiraju, Zhifan Zhu, Bryan Fry, Robert J. ...
TNN
2010
176views Management» more  TNN 2010»
13 years 3 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
SDM
2007
SIAM
171views Data Mining» more  SDM 2007»
13 years 10 months ago
A Better Alternative to Piecewise Linear Time Series Segmentation
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
Daniel Lemire
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
13 years 10 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
ASIACRYPT
2004
Springer
14 years 2 months ago
Asynchronous Proactive Cryptosystems Without Agreement (Extended Abstract)
d abstract) Bartosz Przydatek1 and Reto Strobl2 1 Department of Computer Science, ETH Z¨urich, Switzerland 2 IBM Research, Zurich Research Laboratory, Switzerland In this paper, w...
Bartosz Przydatek, Reto Strobl