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» Temporal Data Classification Using Linear Classifiers
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INFORMATICALT
2000
118views more  INFORMATICALT 2000»
13 years 7 months ago
Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case
An estimation of the generalization performance of classifier is one of most important problems in pattern clasification and neural network training theory. In this paper we estima...
Valdas Diciunas, Sarunas Raudys
DEXA
2006
Springer
143views Database» more  DEXA 2006»
13 years 11 months ago
Multivariate Stream Data Classification Using Simple Text Classifiers
We introduce a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes as input a sliding wi...
Sungbo Seo, Jaewoo Kang, Dongwon Lee, Keun Ho Ryu
ICIP
2004
IEEE
14 years 9 months ago
Real-time temporal texture characterisation using block based motion co-occurrence statistics
Contemporary temporal texture classification methods use pixel based features thus making the process slow for time sensitive applications like video indexing and surveillance. In...
Ashfaqur Rahman, M. Manzur Murshed
IDA
2002
Springer
13 years 7 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
TNN
2008
132views more  TNN 2008»
13 years 7 months ago
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes
Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
Cesare Alippi, Manuel Roveri