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» Regularization and feature selection for networked features
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141
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CORR
2011
Springer
212views Education» more  CORR 2011»
14 years 10 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...
145
Voted
IPPS
1998
IEEE
15 years 7 months ago
Hyper Butterfly Network: A Scalable Optimally Fault Tolerant Architecture
Boundeddegreenetworks like deBruijn graphsor wrapped butterfly networks are very important from VLSI implementation point of view as well as for applications where the computing n...
Wei Shi, Pradip K. Srimani
149
Voted
CIKM
2007
Springer
15 years 9 months ago
Regularized locality preserving indexing via spectral regression
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han
SCAI
2008
15 years 5 months ago
Defect Prediction in Hot Strip Rolling Using ANN and SVM
One of the largest factors affecting the loss for steel manufacturing are defects in the steel strips produced. Therefore the prediction of these defects forehand would be very im...
Manu Hietaniemi, Ulla Elsilä, Perttu Laurinen...
141
Voted
ICIAR
2004
Springer
15 years 9 months ago
Neuro-Fuzzy Method for Automated Defect Detection in Aluminium Castings
The automated flaw detection in aluminium castings consists of two steps: a) identification of potential defects using image processing techniques, and b) classification of pote...
Sergio Hernández, Doris Saez, Domingo Mery