[PDF] Top 20 1. Efficient face recognition using convolutional neural networks
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1. Efficient face recognition using convolutional neural networks
... for face authentication are mainly concerned with access control, ...for face identification facial recognition framework is a PC application fit for recognizing or confirming a man from a picture or ... See full document
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Facial Expression Recognition using Convolutional Neural Networks Chirag Ravat 1, Shital Solanki2
... expression recognition by computer plays a key role in human computer ...expression recognition can be done using Artificial Neural Network (ANN) and Support Vector Machine ...even face ... See full document
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Face Authentication Using Efficient Deep Convolutional Neural Network
... the face identification problem is ...for face identification or ...input face images and verify whether belong to the same person or ...Fig. 1 depicts the general sketch of Siamese ... See full document
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Handwritten Digit Recognition Using Convolutional Neural Networks
... Deep Convolutional Neural Networks (CNNs) becomes one of the most appealing approaches and has been a crucial factor in variety of recent success and challenging machine learning applications such as ... See full document
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Hand Gesture Recognition System using Convolutional Neural Networks
... Numerous specialists are taking a shot close by signal acknowledgment utilizing visual investigation. In [1] an arrangement of equipment pose acknowledgment dependent on a SOM and Hebb crossover vector classifier. ... See full document
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Face recognition with Bayesian convolutional networks for robust surveillance systems
... learning-based face recognition approaches Although machine learning techniques for facial recogni- tion have provided decent results, these techniques do not perform well under unconstrained ...performed ... See full document
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Handwritten Digit Recognition using Convolutional Neural Networks
... Here we define our list of libraries we need to install for keras library to work for our networks. The most important library is the NUMPY is a library that provides support for large, multi-dimensional arrays ... See full document
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An Approach for Face Recognition System Using Convolutional Neural Network and Extracted Geometric Features
... pattern recognition. It requires efficient algorithms that are capable to extract relevant semantic ...from face images such as position in the image, facial characteristics, facial expressions, the ... See full document
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Face Recognition using Genetic Algorithm and Neural Networks
... The Digital Images are having such huge information and characteristics as these are more complex, so until today, a complete efficient mechanism to extract these characteristics in an automatic way is not yet ... See full document
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Implementation of Face Recognition System Using Convolutional Neural Networks for Automated Door Access Using Raspberry Pi
... geometry, face recognition is considered to be the most ...a face recognition system built using deep convolutional neural networks and its real time application in ... See full document
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Human Face Recognition in Video using Convolutional Neural Network (CNN)
... point. To do so, these points must be searched across the image and scale dimensions using a saliency criterion. The search through scale space is fundamental to achieve scale invariance and it is realized in ... See full document
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Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS
... network: 1) the input layer of size equal to the input vector size ; 2) the output layer of size ; and 3) one hidden ...to 1, is artificially added with a ... See full document
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Face Recognition across Time Lapse Using Convolutional Neural Networks
... the recognition performance (“rank-1 identification”) of each of the classifiers described in Section ...achieved using an ensemble of subspace discriminant learners (ESD) ... See full document
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Face Recognition Using Neural Networks
... and 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 ... See full document
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Generalizing convolutional neural networks for pattern recognition tasks
... After determining the best model of CNN, the partial connection is determined between the first two layers. The purpose of partial connection is to avoid the same features being selected for classification and also to ... See full document
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Convolutional Neural Networks for Clothing Image Style Recognition
... The style in a clothing image plays an important role in the recommendation system for clothing based on expert knowledge. The system recommends clothes referring to rules defined by the expert for users' style and the ... See full document
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Application of Neural Networks with CSD Coefficients for Human Face Recognition
... make efficient intelligent systems. The main objective of modern neural network research is to realize ANN from understanding different aspects of the biological ...complex face recognition ... See full document
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Review On Neural Networks For Face Recognition
... expression recognition system was designed by combining two classifiers KNN and ...extracted using Active Appearance ...stage 1 and HMM stage 2 for a more efficient ...the neural ... See full document
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Efficient Convolutional Neural Networks for Diacritic Restoration
... A fair number of studies have been developed for the task of diacritization for different languages that include diacritics (Yarowsky, 1994; De Pauw et al., 2007; Scannell, 2011; Alqahtani et al., 2016, 2019). Feature ... See full document
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Learning temporal information from spatial information using capsnets for human action recognition
... The results in Table 1 also confirm the advantage of using our weight pooling. Our CapsNet with weight pooling out- performs the cases of using no pooling or max pooling. Let us recall that pooling ... See full document
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