[PDF] Top 20 Multi Modal Region Based Convolution Neural Network (MM RCNN) for Ethnicity Identification and Classification

Multi Modal Region Based Convolution Neural Network (MM RCNN) for Ethnicity Identification and Classification

... like ethnicity and gender. At the same time, the ethnicity and gender acts as a significant part in the face-related ...image-based ethnicity identification problem is considered as a ... See full document

9

Multi Modal Iris Recognition System based on Convolution Neural Network

... convolutional neural network architecture. Here many network configurations are tested for high recognition ...The network learning is done by using back propagation algorithm with Adam ... See full document

6

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

6

A Convolution Neural Network for Classification of Indian Faces

... the identification of different types of dolphin species based on ...A convolution network was built with four 1-D Convolution layers and two fully connected ...Every convolution ... See full document

5

Research on image classification model based on deep convolution neural network

... a classification framework called region-based pluralistic CNN, which can encode semantic context- aware representations to obtain promising ...representation based on CNN presents the spatial ... See full document

11

Review of deep convolution neural network in image classification

... in multi- object recognition tasks and video game ...designed based on some depth of the neural network model (such as RNN) method and Strategy, can effectively understand the text ...the ... See full document

6

ECG Arrhythmia Classification Using a Convolution Neural Network

... automatic identification of ECG arrhythmia based on signal feature extraction, such as support vector machines (SVM) [2,3], discrete wavelet transformation (DWT) [4,5], feed forward neural networks ... See full document

8

3D CONVOLUTION NEURAL NETWORK- BASED PERSON IDENTIFICATION USING GAIT CYCLES

... Object Detection and tracking are the two most vital part of video analysis in surveillance. It includes the non-overlapping techniques in multi-camera scenarios to detect humans and track them. Another system ... See full document

16

Automatic Sex Identification Based on Convolution Neural Network and Least Square Method

... . Convolution Neural Network In our study, the relations of the images of each sample are a critical research content for sex ...requirements. Based on the analysis of the CNN, we firstly ... See full document

9

A deep multi-modal neural network for informative Twitter content classification during emergencies

... a multi-modal system is proposed which utilizes tweet texts as well as images to identify informative Twitter ...deep neural network–based model can be developed to deal with the issues ... See full document

29

Multi-Scale 3D Convolution Network for Video Based Person Re-Identification

... video based person ReID have signifi- cantly boosted the performance on existing ...Recurrent Neural Net- works (RNN) to generate video features (Yan et ... See full document

8

An Efficient and Robust Multi Object Recognition and Tracking Algorithm using Mask Region based Convolution Neural Network (R CNN)

... Every individual color circle indicates a tracklet, and every eclipse including two tracklets represents a node in the graph. An edge is used to share the identical tracklet. Intrinsic associations are used among ... See full document

7

A LeNet Based Convolution Neural Network for Image Steganalysis on Multiclass Classification

... Convolutional neural network (CNN), LeNet, ...convolutional neural networks (CNN) to train and generate a binary classification model for ...are based on the LeNet technique of ... See full document

5

Mobile-based Skin Lesions Classification Using Convolution Neural Network

... lesions classification problem using Convolution Neural Network (CNN) using cloud-server ...lesions classification expert system “i-Rash” is proposed and ...The classification ... See full document

12

Convolution Neural Network Based Image Recognition

... Image classification based on their classes is easy for humans but difficult for ...Convolutional Neural networks (CNN) to extract and learn features of the images and train our model for ... See full document

5

Convolution based neural attention with applications to sentiment classification

... D. RESULTS AND ANALYSIS The experimental results of document classification are shown in Table 2. Firstly, we observe that NBOW, Para- graph Vector and CNN perform badly on document-level sentiment ... See full document

11

A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data

... In the training procedure, a mini batch with a size of 32 was used. For relatively small training samples, as in our case, this could allow the training step to perform more frequent parameter updates and achieve faster ... See full document

5

Enhancing Multi Exposure Images Using Convolution Neural Network

... convolutional neural network (CNN) to coach SICE ...large-scale multi-exposure image knowledge set, that contains 589 in an elaborate way chosen high-resolution multi-exposure sequences with ... See full document

6

Multi-Label Classification Based on the Improved Probabilistic Neural Network

... pattern classification method, including stable structure, short training time, high fault tolerance, good convergence and strong nonlinear recognition ...the classification error rate, and the problem can ... See full document

22

Diseases Classification for Tea Plant Using Concatenated Convolution Neural Network

... as classification tasks in machine learning. Classification is a grouping of data for each target ...class. Classification algorithms are usually trained in a supervised ... See full document

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