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ESANN
2006
15 years 7 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
JISE
2010
144views more  JISE 2010»
15 years 1 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
ICAPR
2005
Springer
15 years 12 months ago
3D Model Retrieval Based on Adaptive Views Clustering
In this paper, we propose a method for 3D model indexing based on 2D views, named AVC (Adaptive Views Clustering). The goal of this method is to provide an optimal selection of 2D ...
Tarik Filali Ansary, Mohamed Daoudi, Jean-Philippe...
MLDM
2005
Springer
15 years 12 months ago
SSC: Statistical Subspace Clustering
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
ICPR
2008
IEEE
16 years 24 days ago
Incremental nested partition method
In this paper, we introduce an incremental nested partition algorithm for finding the inner structuralization of dynamic datasets. Here we use three partition criteria that allow...
Jyrko Correa-Morris, José Ruiz-Shulcloper, ...