[PDF] Top 20 A Convolution Neural Network for Classification of Indian Faces
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A Convolution Neural Network for Classification of Indian Faces
... 2 convolution layers having ReLu activation function, 2 Maxpooling layers connected to Dense layers of 256 neurons and the connection to 5 neuron layer having softmax activation ... See full document
5
Application research of convolution neural network in image classification of icing monitoring in power grid
... of convolution neural network, this paper applies it to the detection of power network ...A classification method of power network icing detection image based on ... See full document
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ABSTRACT: In this analysis proposed and evaluated the convolution neural network designed for classification of
... ABSTRACT: In this analysis proposed and evaluated the convolution neural network designed for classification of ILD patterns. The 7outputs of ILD patterns: healthy, ground glass opacity (GGO), ... See full document
7
Research on image classification model based on deep convolution neural network
... and classification applica- ...multichannel convolution neural network (mCNN) is proposed to extract the invariant features of object ...Multi-channel convolution sharing the same ... See full document
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A LeNet Based Convolution Neural Network for Image Steganalysis on Multiclass Classification
... convolutional neural networks (CNN) to train and generate a binary classification model for ...convolutional neural network (CNN) in deep ... See full document
5
Multi Modal Region Based Convolution Neural Network (MM RCNN) for Ethnicity Identification and Classification
... ethnicity classification, various researchers attempt to employ traditional recognition techniques [4-11] in the past ...(LDA), classification among non-Asian and Asian is researched by Xiaoguang Lu et ... See full document
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ECG Arrhythmia Classification Using a Convolution Neural Network
... the convolution neural networks’ superior ability to extract all the dissimilar features, which are relatively invariant to local spectral and temporal ...of convolution layers to extract the ... See full document
8
An Image Classification Algorithm Based on Multidomain Convolution Neural Network
... Convolutional Neural Networks (CNNs) have outperformed humans in many computer vision tasks, such as object recognition and image classification, but it is almost impossible to run a large-scale CNN ... See full document
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An Android Application for Plant Leaf Disease Detection using Convolution Neural Network
... Extensive studies have shown that these abnormalities are nothing but different kinds of diseases caught by plants due to factors such as no proper manure being provided, less amount of water is given, defect in the ... See full document
5
Crop and weed discrimination using Laws’ texture masks
... a convolution neural network (CNN) based semantic classification weeds, crops, and ...pixel-wise classification of weed, crop, and background in ... See full document
7
A Character Level Convolutional BiLSTM for Arabic Dialect Identification
... three-way classification task (Egyptian, Gulf, and Levantine), and a four-way classification task that adds the MSA dialect to the previous three-way ...character-level convolution neural ... See full document
5
Aircraft detection in remote sensing images based on saliency and convolution neural network
... and classification because the saliency algorithm can quickly find detected objects in the ...detection network takes as input an entire image and a set of object proposals that are obtained with the ... See full document
16
Survey of Researches on Chinese Sentiment Analysis Based on Deep Learning
... sentiment classification task. Xiao-ying Su et al. [1] used a convolution neural network structure model to perform sentiment analysis of micro-blogging ...and convolution neural ... See full document
5
Music Genre Classification using Spectral Analysis Techniques With Hybrid Convolution Recurrent Neural Network
... was Convolution Neural Network (CNN). Before fed to the network, they perform with 3 parts: raw data, STFT with hop length 1024 and window size 2048 and MFCC with 13 ... See full document
6
Stratification of Brain Tumor using Threshold Segmentation and Classification by CNN
... Image analysis system provides an efficient approach to evaluate the medical image and detect the abnormalities of those images. This analysis system will able to reveal more possible aspect of images by applying the ... See full document
5
Human Face Recognition in Video using Convolutional Neural Network (CNN)
... scale video sequence [3]. VFR faces challenges like variation in pose and occlusion and its main aim is to recognize the face from video-based face patches. The dataset is Yaleface database that are taken frame by ... See full document
7
Convolution based neural attention with applications to sentiment classification
... Although neural attention models give impressive performance in the aforementioned tasks, they are less effective for text ...the neural attention mechanism used in the sequence-to-sequence (seq2seq) model ... See full document
11
A Novel Method for Remotely Sensed Hyperspectral Image Classification Based on Convolutional Neural Network
... the neural network is retrained and such active batch selection will iterate until the budget (the upper limit of label queries) is reached (Licciardi et ...for neural network and tested with ... See full document
10
¬¬¬Facial Emotion Recognition - A Gift For The Visionless
... learns neural network that encodes the face image to ...neural network. It uses the Inception model which carries out the convolution step, normalization and activates the neural ... See full document
6
Idendifying Eye Movements using Neural Networks for Human Computer Interaction
... Classification accuracies varied from 90.99% and 90.10% for convolution features and 90.88% and 89.92% for SVD features using time delay neural network and feed forward neural network re[r] ... See full document
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