[PDF] Top 20 A Spiking Neural Networks Based Face Recognition Algorithm
Has 10000 "A Spiking Neural Networks Based Face Recognition Algorithm" found on our website. Below are the top 20 most common "A Spiking Neural Networks Based Face Recognition Algorithm".
A Spiking Neural Networks Based Face Recognition Algorithm
... complexity algorithm is used to locate the human eyes, and then the best threshold method is used to locate the human eyes ...noise. Spiking neural networks, which inherit the parallel ... See full document
8
Block Based Face Recognition Algorithm
... single face will be stored for each ...the face at any level is a challenging task. Many face recognition algorithms have been ...proposed. Face recognition falls under three ... See full document
7
Face Recognition Based on DCT and RBF Neural Network
... Artificial Neural Network (ANN) is a powerful tool for pattern recognition ...of neural networks (NN) in faces has addressed several problems: gender classification, face ... See full document
11
Comparison of Different Neural Network Training Algorithms with Application to Face Recognition
... to face recognition ...Eigenface algorithm and neural networks with the use of different training ...a face object, the appearance of a face is also subject to several ... See full document
5
A comparison of sound localisation techniques using cross correlation and spiking neural networks for mobile robotics
... correlation algorithm and a spiking neural network (SNN) for sound localisation based on real sound recorded in a noisy and dynamic environment by a mobile ... See full document
7
Face recognition system based on imperialist competitive algorithm and neural network (ICANN)
... the face tracking. In the face tracking module Kalman filter are used to represent the appearances of the tracked ...the face using PCA. Finally, the recognition process is achieved using ... See full document
8
Speech emotion recognition with early visual cross modal enhancement using spiking neural networks
... models based on speech processing in the brain through both uni-modal and cross-modal aspects for the SER ...of Spiking Neural Networks (SNN) to support unsupervised learning in SER and ... See full document
8
1. Efficient face recognition using convolutional neural networks
... learning algorithm for blind source separation method helps learning the huge database In ...in Neural Information Processing Systems ...video based biometric person authentication are suggested in ... See full document
7
Face Recognition Using Principal Component Analysis
... on face recognition for different purpose to overcome different ...Analysis based and LDA and then on Neural Network used combining Neural Network and Genetic Algorithm and some ... See full document
5
A FACE RECOGNITION SYSTEM BASED ON PRINCIPAL COMPONENT ANALYSIS USING BACK PROPAGATION NEURAL NETWORKS
... The first stage of any vision system is the image acquisition stage. The face image is captured using the Digital cam. The image is of size 480 X 640. No Physical contact is required with the cam unlike in other ... See full document
6
SECURE ROUTING IN MANET USING ASYMMETRIC GRAPHS
... new algorithm to improve face recognition on Joint Photographic Experts Group ...on face recognition is realized by discrete cosine transform (DCT), and improved compression coding and ... See full document
5
A CMOS based Neuron Circuit for Spiking Neural Networks with Memristive Synapse
... brained-inspired spiking neural networks (SNNs), which can be applied on visual information processing and speech recognition, is attracting great attention especially when combined with ... See full document
6
GPU-based implementation of real-time system for spiking neural networks
... One of the alternatives is to allocate the core computation to one warp and exploit task parallel operations according to the program flow by allocating them to other warps: one task per warp. In this case, warps ... See full document
150
Robust Face Recognition Based on Convolutional Neural Network
... During the last decades, deep learning, as an emerging multi-layer neural network algorithm of machine learning field and artificial intelligence (AI), has obtained great achievements. However, there are ... See full document
6
Artificial Intelligence Technique for Speech Recognition Based on Neural Networks
... speech recognition based on sophisticated ...artificial neural networks, As a result; when building a signal processing system, the structure of the network should be selected; according to ... See full document
6
Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS
... Facial recognition is becoming difficult job and thus facial recognition system should be independent of any type of ...the face images have been taken under constant light ...video-based ... See full document
5
Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks
... Classification is one of the most commonly encountered processing tasks for decision making. A problem of classification occurs when an object requires to be assigned into a group that are predefined or class ... See full document
36
Face Recognition Using Neural Networks
... efficient face detection algorithms are required. The face is detected once a person’s face comes into a view ...a face is detected, the face region is cropped from the image to be used ... See full document
5
Application of Neural Networks with CSD Coefficients for Human Face Recognition
... both networks has same number of ...LUT based array was used to realize the implementation of AF where each output value corresponds to a unique input address from a series of uniformly spaced input-output ... See full document
72
Face Recognition using Genetic Algorithm and Neural Networks
... Genetic Algorithm (GA) and Back Propagation Neural Networks (BPNN) and their applications in Pattern Recognition or for Face Recognition ...Genetic Algorithm is efficient ... See full document
5
Related subjects