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INTERSPEECH
2010
8 years 5 months ago
Comparison of HMM and TMDN methods for lip synchronisation
This paper presents a comparison between a hidden Markov model (HMM) based method and a novel artificial neural network (ANN) based method for lip synchronisation. Both model type...
Gregor Hofer, Korin Richmond
ICRA
2009
IEEE
151views Robotics» more  ICRA 2009»
8 years 8 months ago
Surface identification using simple contact dynamics for mobile robots
This paper describes an approach to surface identification in the context of mobile robotics, applicable to supervised and unsupervised learning. The identification is based on ana...
Philippe Giguère, Gregory Dudek
ICEIS
2009
IEEE
8 years 8 months ago
Pattern Recognition for Downhole Dynamometer Card in Oil Rod Pump System using Artificial Neural Networks
: This paper presents the development of an Artificial Neural Network system for Dynamometer Card pattern recognition in oil well rod pump systems. It covers the establishment of p...
Marco A. D. Bezerra, Leizer Schnitman, Manuel de A...
ICANN
2010
Springer
8 years 8 months ago
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
Juan Peralta, Germán Gutiérrez, Arac...
IJPRAI
2000
101views more  IJPRAI 2000»
8 years 10 months ago
An Integer Recurrent Artificial Neural Network for Classifying Feature Vectors
: The main contribution of this report is the development of an integer recurrent artificial neural network (IRANN) for classification of feature vectors. The network consists both...
Roelof K. Brouwer
ARTMED
2002
119views more  ARTMED 2002»
8 years 10 months ago
Lung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
JCC
2007
127views more  JCC 2007»
8 years 10 months ago
Prediction of GFP spectral properties using artificial neural network
Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ay...
TKDE
2008
114views more  TKDE 2008»
8 years 10 months ago
Neural-Based Learning Classifier Systems
UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classificati...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Xin...
AMC
2005
117views more  AMC 2005»
8 years 10 months ago
Teleonomic entropy: measuring the phase-space of end-directed systems
We introduce a novel way of measuring the entropy of a set of values undergoing changes. Such a measure becomes useful when analyzing the temporal development of an algorithm desi...
Alexander Pudmenzky
ALIFE
2005
8 years 10 months ago
Flexible Couplings: Diffusing Neuromodulators and Adaptive Robotics
Recent years have seen the discovery of freely diffusing gaseous neurotransmitters, such as nitric oxide (NO), in biological nervous systems. A type of artificial neural network (A...
Andrew Philippides, Phil Husbands, Tom Smith, Mich...
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