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NN
2006
Springer
100views Neural Networks» more  NN 2006»
13 years 10 months ago
Perceiving the unusual: Temporal properties of hierarchical motor representations for action perception
Recent computational approaches to action imitation have advocated the use of hierarchical representations in the perception and imitation of demonstrated actions. Hierarchical re...
Yiannis Demiris, Gavin Simmons
NN
2006
Springer
122views Neural Networks» more  NN 2006»
13 years 10 months ago
Goals and means in action observation: A computational approach
Many of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be im...
Raymond H. Cuijpers, Hein T. van Schie, Mathieu Ko...
NN
2006
Springer
120views Neural Networks» more  NN 2006»
13 years 10 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
NN
2006
Springer
13 years 10 months ago
Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: App
This paper presents a new development of the NeuroVaria method. NeuroVaria computes relevant atmospheric and oceanic parameters by minimizing the difference between the observed s...
Julien Brajard, Cédric Jamet, Cyril Moulin,...
NN
2006
Springer
13 years 10 months ago
Special Issue on The Brain Mechanisms of Imitation Learning
Aude Billard, Stefan Schaal
NN
2006
Springer
13 years 10 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
NN
2006
Springer
13 years 10 months ago
Machine learning in soil classification
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...
Biswanath Bhattacharya, Dimitri P. Solomatine
NCA
2006
IEEE
13 years 10 months ago
Evolutionary training of hardware realizable multilayer perceptrons
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
Vassilis P. Plagianakos, George D. Magoulas, Micha...
NCA
2006
IEEE
13 years 10 months ago
Analysing the localisation sites of proteins through neural networks ensembles
Scientists involved in the area of proteomics are currently seeking integrated, customised and validated research solutions to better expedite their work in proteomics analyses and...
Aristoklis D. Anastasiadis, George D. Magoulas
NN
2008
Springer
104views Neural Networks» more  NN 2008»
13 years 10 months ago
Recognizing emotions expressed by body pose: A biologically inspired neural model
Research into the visual perception of human emotion has traditionally focused on the facial expression of emotions. Recently researchers have turned to the more challenging field...
Konrad Schindler, Luc J. Van Gool, Béatrice...