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ISNN
2005
Springer
14 years 2 months ago
Lidar Signal Processing for Under-Water Object Detection
Abstract. This paper presents Artificial Neural Network (ANN) based architecture for underwater object detection from Light Detection And Ranging (Lidar) data. Lidar gives a sequen...
Vikramjit Mitra, Chia-Jiu Wang, Satarupa Banerjee
IJCNN
2000
IEEE
14 years 1 months ago
Continuous Optimization of Hyper-Parameters
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
Yoshua Bengio
WCE
2007
13 years 9 months ago
Face Recognition using Discrete Cosine Transform plus Linear Discriminant Analysis
—Face recognition is a biometric identification method which among the other methods such as, finger print identification, speech recognition, signature and hand written recognit...
M. Hajiarbabi, J. Askari, S. Sadri, M. Saraee
NECO
2006
157views more  NECO 2006»
13 years 8 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 8 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek