neural network based approaches
Hand tremor detection in videos with cluttered background using neural network based approaches
... Conclusions We found that hand tremor could be automatically detected despite a cluttered background with an accuracy of 80.6%. We used CNN-LSTM model with changes in the distance of hand movement and frequency of motion ...
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Neural network approaches to caricature generation
... A novel, neural network based automatic caricature generating approach that is capable of capturing and subsequently reproducing the drawing style of an artist based on t[r] ...
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Deep Neural Network Approaches for Selective Hearing based on Spatial Data Simulation
... Deep neural networks (DNNs) have been shown to perform these tasks in a robust and time-efficient ...cancellation approaches need to be combined with machine learning ...convolutional neural ...
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Artificial Neural Network Approaches For Slope Stability
... sands based on grain size distribution and stress ...used neural networks for modeling the shearing behaviour of a fine-grained residual soil, dune sand and Hawaiian volcanic ...a neural ...
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Neural Network Based Normalized Fusion Approaches for Optimized Multimodal Biometric Authentication Algorithm
... 2.3. Palm Print Recognition It is Physiological biometric trait. This algorithm uses 2D Discrete Fourier transform in phase based recognition system. The Principal Component Analysis, Local Binary Pattern ...
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Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches
... The model based approach of the finance community and the data driven approach of neural computing community lead to good estimates of the observed price of the options con[r] ...
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Neural Network Approaches to Implicit Discourse Relation Recognition
... the neural network’s input layer. The basic setup for neural networks for text classification on which later work is based is presented in ( Collobert and Weston , 2007 ...a neural ...
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Deep Neural Network Approaches to Speaker and Language Recognition
... III. I-V ECTOR S YSTEM In the experiments, an i-vector classifier, configured as de- scribed below, was used for baseline and integrated DNN sys- tems. Speech activity segmentation generated using a GMM based speech ...
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Approaches in RSA Cryptosystem Using Artificial Neural Network
... 1977. Neural networks are often used as a powerful discriminating estimator for tasks in function ...a neural-network-based method relies on Radial Basis Function and Levenberg-Marquardt ...
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Artificial neural network and kalman filter approaches based on arima for daily wind speed forecasting
... proposed based on an ARIMA model to further improve the forecasting accuracy of wind ...created based on an ARIMA ...ANN approaches are generated from the new state series that is the output of the ...
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Combining of Image ClassificationWith Probabilistic Neural Network (PNN) Approaches Based On Expectation Maximum (EM)
... The two problems mentioned above have been realized by some researchers and some for reduction of training, samples have been proposed. The vector quantization approach was employed to grouph training samples and find ...
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Neural Network Approaches for Software Development Time Estimation: A Review
... of neural network ...of neural network models based upon various parameters such as Root Mean Squared Error (RMSE), Relative Standard Deviation (RSD), Magnitude of Relative Error (MRE), ...
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Neural Network based Autonomous Car
... various approaches to gain knowledge of environment and that by Image Processing or simple line ...two approaches, supervised and reinforcement, which are discussed in detail in coming ...
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Hand Vein Biometric Recognition Approaches Based on Wavelet, SVM, Articial Neural Network and Image Registration
... Rede Neural Artificial multicamadas podem ser utilizadas no reconhecimento biom´ etrico das veias das m˜ aos com relativa eficiˆ encia em termos de taxas de acertos e alta eficiˆ encia em quest˜ oes de tempo ...
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Neural and FST based approaches to grammatical error correction
... same network architecture as the one described here, with error- corrected sentences as the source and their corre- sponding uncorrected counterparts written by lan- guage learners as the ...
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Memristor based neural networks: Feasibility, theories and approaches
... algorithmic approaches, it is competent at fast arithmetic or with unambiguous tasks but lacks abilities such as massive parallelism and fault ...biological neural networks can do these jobs that ...
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Data Mining Using Neural Network Approaches Using SAS and Java
... two Neural Net approaches to pattern analyses based upon a neuro- evolutionary approach based upon the ID3 AI algorithm created by ...be based upon a Neuro-dynamic Programming approach, ...
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Sustainable Supplier Selection based on Self-organizing Map Neural Network and Multi Criteria Decision Making Approaches
... well-known neural network methods has been utilized in order to cluster and prequalify the suppliers based on customer demand attribute and sustainability ...
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Neural network-based handwritten signature verification
... However, the training process was exceedingly slow, which may be a problem in a large, dynamic database. (See Tables III and IV.) The back-propagation algorithm seems to be superior in this HSV environment. Although it ...
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A Dependency Based Neural Network for Relation Classification
... 1 Introduction Relation classification aims to classify the seman- tic relations between two entities in a sentence. It plays a vital role in robust knowledge extraction from unstructured texts and serves as an interme- ...
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