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» Rough Set Methods in Approximation of Hierarchical Concepts
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ESANN
2006
13 years 9 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
SMI
2005
IEEE
140views Image Analysis» more  SMI 2005»
14 years 1 months ago
Interactive Implicit Modeling with Hierarchical Spatial Caching
Complex implicit CSG models can be represented hierarchically as a tree of nodes (the BlobTree) . However, current methods cannot be used to visualize changes made to these models...
Ryan Schmidt, Brian Wyvill, Eric Galin
TOG
2008
253views more  TOG 2008»
13 years 7 months ago
4-points congruent sets for robust pairwise surface registration
We introduce 4PCS, a fast and robust alignment scheme for 3D point sets that uses wide bases, which are known to be resilient to noise and outliers. The algorithm allows registeri...
Dror Aiger, Niloy J. Mitra, Daniel Cohen-Or
ICML
2010
IEEE
13 years 8 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag
KAIS
2000
86views more  KAIS 2000»
13 years 7 months ago
A Mathematical Foundation for Improved Reduct Generation in Information Systems
When data sets are analyzed, statistical pattern recognition is often used to find the information hidden in the data. Another approach to information discovery is data mining. Dat...
Janusz A. Starzyk, Dale E. Nelson, Kirk Sturtz