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» Statistical timing analysis using Kernel smoothing
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AAAI
2006
13 years 11 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
SSDBM
1994
IEEE
153views Database» more  SSDBM 1994»
14 years 2 months ago
An Object-Oriented Data Model for a Time Series Management System
The analysis of time series is a central issue in economic research and many other scientific applications. However, the data management functionality for this field is not provid...
Werner Dreyer, Angelika Kotz Dittrich, Duri Schmid...
ICIAR
2005
Springer
14 years 3 months ago
Color Indexing by Nonparametric Statistics
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...
Ian Fraser, Michael A. Greenspan
TNN
2008
182views more  TNN 2008»
13 years 9 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
DAC
2006
ACM
14 years 11 months ago
Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty
Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...