[PDF] Top 20 Face Recognition by Radial Basis Function Network (RBFN)

Face Recognition by Radial Basis Function Network (RBFN)

... pattern recognition, computer vision, and neural network, every researcher concentrates on human face recognition by machine from still and video ...that face image is highly variable ... See full document

6

An efficient indirect RBFN-based method for numerical solution of PDEs

... indirect radial basis function network (RBFN) method for numerical solution of partial differential equations ...the RBFN method based on an integration process (IRBFN) is ... See full document

35

Design of Hanman Entropy Network from Radial Basis Function Network

... Entropy network (HEN) just as in JAYA + RBFN ...+ RBFN. But with JAYA + PINV + RBFN combination the results are very poor as shown in Table ...Entropy network can only be realized when ... See full document

17

A new formula to determine the optimal dataset size for training neural networks

... substantially, Radial Basis Function networks (RBFN) are usually selected for this purpose (Arteaga & Marrero, 2013; Kavaklioglu, Koseoglu, & Caliskan, 2018; Lin, 2016; Majdisova & ... See full document

10

Filtered Wall: An Automated System to Filter Unwanted Messages from OSN User Walls

... on Radial Basis Function Networks (RBFN) with Self Organizing Neural Network (SOINN) for their proven capabilities in acting as soft classifiers, in managing noisy data and ... See full document

6

Rainfall prediction using Machine Learning Techniques

... Neural Network (MLPNN), Back Propagation Algorithm(BPA), Radial Basis Function Network (RBFN), SOM (Self Organization Map) and SVM (Support Vector Machine) to predict ...neural ... See full document

7

Neural Network Based Face Recognition Using RBFN Classifier

... the basis functions parameters and determining the number of hidden neurons needed to best ...the network. The basis functions are the components of a mixture density ...of basis functions are ... See full document

6

A Computerized Neural Network System to Filter Unwanted Messages from OSN User Walls

... on Radial Basis Function Networks (RBFN) with Self Organizing Neural Network (SOINN) for their proven capabilities in acting as soft classifiers, in managing noisy data and ... See full document

5

Hybridization of Neural Network-cum-Evolutionary Algorithm variants for Fraud Detection in Credit Cards Online Transaction

... Fraud is now regarded as an adaptive crime and it is increasing day by day. So, it needs special methods of intelligent data analysis to detect and prevent it. Existing fraud detection systems may not be so much capable ... See full document

6

Abstract: A radial basis function network (RBFN) method is proposed to reconstruct daily Sea

... a RBFN method is proposed and a INNC algorithm is designed to search the optimal hidden knots for ...multi-quadric function as basis function is more effective than the Gaussian ... See full document

13

Face recognition using hybrid radial basis function for low dimensional feature extraction

... Face recognition is a computer application for identifying and verifying a person from the face ...The face recognition system is generally used in security purpose and can be compared ... See full document

5

A NOVEL APPROACH TO GENERATE DISTRIBUTED GLOBAL AND LOCAL USE CASES: A NEW NOTATION

... and Radial Basis Function is presented for face ...neural network methods because of its unique ability to minimize ...The recognition rate is increased when combine BPNN with ... See full document

7

Multilingual Speech Recognition Using Radial Basis Function (RBF) Neural Network

... language recognition and speaker verification process it can be ...Speech Recognition can be applied to automation of houses, offices and telecommunication ...Speech Recognition & Language ... See full document

7

Research on Intention Recognition Method Based on Radial Basis Function Neural Network

... the basis of human-human collaboration, put forward that if a robot is en- dowed with the prejudging ability like human, can recognize the collaborator’s intention in real time and build the relationship between ... See full document

11

Face Recognition Using Neural Networks

... given face image, a recognizer is needed to recognize the face image from the stored ...Neural network can be applied for such problems [7, 8, ...a recognition method, which uses two networks: ... See full document

5

Evaluation of Feature Extraction Techniques using Neural Network as a Classifier : A Comparative Review for face Recognition

... Machine recognition of human face from still and video images has become an active research area in the field of image processing, pattern recognition, neural networks, and computer ...a ... See full document

10

Face Representation Using Combined Method of Gabor Filters, Wavelet Transformation and DCV and Recognition Using RBF

... and recognition tasks. Radial Basis Function Neural Network is a special type of artificial neural network suitable for classification, time-series forecasting and so ...adopted ... See full document

8

Writer Identification and Recognition Using Radial Basis Function

... machine recognition of handwriting has practical significance, as in reading handwritten notes in a personal Digital Assistant (PDA), in postal addresses on envelopes, in amounts in back checks, in handwritten ... See full document

7

Image Based Face Detection Using Probabilistic Neural Network

... The first-layer input weights, IW1,1(net.IW{1,1}), are set to the transpose of the matrix formed from the Q training pairs, P'. When an input is presented, the || dist || box produces a vector whose elements indicate how ... See full document

8

Learning Methods of Radial Basis Function Neural Network

... RBF network design is the design meets the accuracy requirements of the minimum structure of neural network, in order to ensure the generalization ability of the ...pattern recognition, regression ... See full document

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