Hand gestures are the natural form of communication among people, yet human-computer interaction is still limited to mice movements. The use of hand ...
recognition. The hybrid approach consists of an ensemble of connectionist networks radial basis functions (RBF) and inductive decision trees (AQDT). Cross ...
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This paper advances the methodology of hybrid classification architectures for face and hand gesture recognition tasks and shows their feasibility through.
RBF interpolation is a popular technique for interpolation of scattered data, and as a solution of ordinary and partial differential equations. It has been used ...
Missing: Ensembles Trees.
This paper advances the methodology of hybrid classification architectures for face and hand gesture recognition tasks and shows their feasibility through ...
In this paper we proposed a method for recognizing hand gestures. We have designed a system which can identify specific hand gestures and use them to convey ...
A hybrid network architecture dubbed as Lightweight VGG16 and Random Forest (Lightweight VGG16-RF) is proposed for vision-based hand gesture recognition.
A hybrid learning algorithm is used to train the RBF neural networks so that the dimension of the search space is drastically re- duced in the gradient paradigm ...
Missing: Gesture | Show results with:Gesture
Proposing a new ensemble method to classify high-dimensional datasets in a reasonable time. Using HFC method to cluster features by maximizing accuracy and ...
Missing: Gesture | Show results with:Gesture
Design of radial basis function networks using decision trees
www.academia.edu › Design_of_radial_...
A radial basis function (RBF) neural network is considered as one of the universal input-output functional mapping learning systems. Important issues in ...
Missing: Gesture | Show results with:Gesture