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convolutional neural network (CNN)

A Convolutional Neural Network for Lentigo Diagnosis

A Convolutional Neural Network for Lentigo Diagnosis

... bassem.bouaziz@isims.usf.tn 2 University of Toulouse, IRIT - INP-ENSEEIHT, Toulouse, France {hadj.batatia,lotfi.chaari}@toulouse-inp.fr Abstract. Using Reflectance Confocal Microscopy (RCM) for lentigo diagnosis is today ...

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Fixed layer Convolutional Neural Network

Fixed layer Convolutional Neural Network

... I. I NTRODUCTION At present times, biometric recognition, like face recog- nition, is being used as the main security barrier in various projects, making the need for it to be as fast and accurate as possible obvious. ...

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Convolutional Neural Network for Paraphrase Identification

Convolutional Neural Network for Paraphrase Identification

... using convolutional neural network (CNN) and model interaction features at each ...the network in a novel way using a language mod- eling ...

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Convolutional Neural Network in Medical Diagnosis

Convolutional Neural Network in Medical Diagnosis

... Residual Network is a CNN developed by Kaiming He et ...art Convolutional Neural Network models and are the default choice for using CNN in ...

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A Convolutional Neural Network for Handwritten Digit Recognition

A Convolutional Neural Network for Handwritten Digit Recognition

... a Convolutional Neural Network (CNN) to classify them, also, a proposed extra preprocessing technique is applied to the images of one of the data ...

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A Convolutional Neural Network Cascade for Face Detection

A Convolutional Neural Network Cascade for Face Detection

... Hence the overall computation may remain the same or even reduced because of fewer cascade stages. This observation suggests that it is possible to apply more advanced features in a practical face detection solu- tion as ...

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Gender classification: a convolutional neural network approach

Gender classification: a convolutional neural network approach

... a convolutional neural network (CNN) is proposed for real-time gender classification based on facial ...the convolutional and subsampling ...The network is trained using a second-order ...

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Firearm Recognition Using Convolutional Neural Network

Firearm Recognition Using Convolutional Neural Network

... Keywords : OpenCV, Convolutional Neural Network (CNN), Infrared Radiation, Firearm Detection, Camera. I. INTRODUCTION The project aims in detecting the weapons using Image Classification algorithm. ...

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Image Segmentation Using Convolutional Neural Network

Image Segmentation Using Convolutional Neural Network

... 671 method helps to increase the size of training dataset. By creating a training seed which consists of manually and semi manually segmented images. They took the help of a data set of images from Berea sandstone. They ...

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An Improved Retraining Scheme for Convolutional Neural Network

An Improved Retraining Scheme for Convolutional Neural Network

... Another variant of MLP that could overcome the mentioned problem is known as Convolutional Neural Network (CNN), proposed by LeCun et al. [1]. CNN has proved its ability through several applications ...

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Vehicle Recognition Based On Convolutional Neural Network

Vehicle Recognition Based On Convolutional Neural Network

... Convolutional neural network (CNN) is a machine learning model for a deep supervised ...deep convolutional neural network image recognition andwon the first prize at a large ...

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Iris Recognition using Convolutional Neural Network

Iris Recognition using Convolutional Neural Network

... uses convolutional neural network (CNN) and support vector machine (SVM) for feature extraction and classification respectively to increase the efficiency of ...
Development of Vegetation Mapping with Deep Convolutional Neural Network

Development of Vegetation Mapping with Deep Convolutional Neural Network

... VGG network architecture (especially VGG-16 and VGG- 19) is also one of the first networks which incorporated some ideas of the Network-In- Network (NIN) structure into the design of the ...

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Keyword Spotting in Images Using Convolutional Neural Network

Keyword Spotting in Images Using Convolutional Neural Network

... D. Neural Network Neural network is used to help a machine learn things how a human brain thinks and interpret ...of neural network and deep learning technique, it became easy to ...

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Attention Based Convolutional Neural Network for Machine Comprehension

Attention Based Convolutional Neural Network for Machine Comprehension

... In both roadmaps, convolutional neural network (CNN) is explored to model all types of text. As human beings usually do for such a QA task, our model is expected to be able to detect the key snip- ...

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Performance Comparison of Binarized Neural Network with Convolutional Neural Network

Performance Comparison of Binarized Neural Network with Convolutional Neural Network

... Binarized Neural Network on MNIST, CIFAR10 and achieve near state-of-the-art ...after convolutional layers is observed to be stronger when the data set size is ...on Convolutional ...

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Deep Augmentation in Convolutional Neural Network

Deep Augmentation in Convolutional Neural Network

... A Convolutional Neural Network (ConvNet) (14) is an artificial neural network that uses convolutional operations in at least one layer of the ...of convolutional, ...

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Waste Segregation using Convolutional Neural Network

Waste Segregation using Convolutional Neural Network

... Using this system, it becomes easier the segregate waste at the basic level. We have four categories in which waste will be segregated namely, glass, paper, plastic, metal. Four distinct dustbins along with servo motors ...

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DNA Sequence Classification by Convolutional Neural Network

DNA Sequence Classification by Convolutional Neural Network

... The convolutional neural network also has been applied in text data problems such as topic categorization, spam detection, and sentiment ...the convolutional neural ...the ...

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A Detection algorithm based on Convolutional Neural Network

A Detection algorithm based on Convolutional Neural Network

... * Correspondence: annyfei@xaut.edu.cn; Tel.: +86-135-728-72821 Abstract: The Station logo is a way for a TV station to claim copyright, which can realize the analysis and understanding of the video by the identification ...

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