Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ray J. Frank"'
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8a1891d60172e617803ce78f30e7846
https://doi.org/10.1201/9781315220178-12
https://doi.org/10.1201/9781315220178-12
Publikováno v:
Neural Computing and Applications. 20:815-823
Recognizing expressions is a key part of human social interaction, and processing of facial expression information is largely automatic for humans, but it is a non-trivial task for a computational system. The purpose of this work is to develop comput
Publikováno v:
International Journal of Systems Science. 36:931-942
Data in many real world applications are high-dimensional and learning algorithms like neural networks may have problems in handling high-dimensional data. However, the ‘intrinsic dimension (ID)’ is often much less than the original dimension of
Publikováno v:
HSI
Research supported by the Engineering and Physical Sciences Research Council (EPSRC UK) and BioDigitalHealth under iCASE 09001842
Publikováno v:
Journal of Intelligent and Robotic Systems. 31:91-103
Neural Network approaches to time series prediction are briefly discussed, and the need to find the appropriate sample rate and an appropriately sized input window identified. Relevant theoretical results from dynamic systems theory are briefly intro
Autor:
Caroline Lyon, Ray J. Frank
Publikováno v:
Neural Computing & Applications. 5:196-214
Natural Language Processing (NLP) is concerned with processing ordinary, unrestricted text. This work takes a new approach to a traditional NLP task, using neural computing methods. A parser which has been successfully implemented is described. It is
Publikováno v:
UKCI
This paper discusses various biologically plausible computational models that recognize human facial expression and analyze them. Identifying facial expressions is a non trivial task for a human and is a key part of social interactions. However, it i
Publikováno v:
2013 5th Computer Science and Electronic Engineering Conference (CEEC).
This paper discusses various biologically plausible computational models that recognize human facial expression and analyze them. Identifying facial expressions is a non trivial task for a human and is a key part of social interactions. However, it i
Publikováno v:
Cognitive neuropsychology. 18(6)
This paper describes a series of modular neural network simulations of visual object processing. In a departure from much previous work in this domain, the model described here comprises both super vised and unsupervised modules and processes real pi
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783642039683
EANN
EANN
Recognizing expressions are a key part of human social interaction, and processing of facial expression information is largely automatic for humans, but it is a non-trivial task for a computational system. The purpose of this work is to develop compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbd602b46d61e93009be1a743d4d0cad
https://doi.org/10.1007/978-3-642-03969-0_19
https://doi.org/10.1007/978-3-642-03969-0_19