Results 181 to 190 of about 5,349,001 (214)

A-optimal convolutional neural network

Neural Computing and Applications, 2016
In this paper, we propose a novel data representation-classification model learning algorithm. The model is a convolutional neural network (CNN), and we learn its parameters to achieve A-optimality. The input multi-instance data are represented by a CNN model, and then classified by a linear classification model.
Zihong Yin, Dehui Kong, Guoxia Shao, Xinran Ning, Warren Jin 0001, Jingyan Wang   +5 more
openaire   +1 more source

Factorized Convolutional Neural Networks

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
In this paper, we propose to factorize the convolutional layer to reduce its computation. The 3D convolution operation in a convolutional layer can be considered as performing spatial convolution in each channel and linear projection across channels simultaneously.
Wang, Min, Liu, Baoyuan, Foroosh, Hassan
openaire   +4 more sources

Restricted Convolutional Neural Networks

Neural Processing Letters, 2018
In this paper, a new type of convolutional neural network is proposed which is inspired by cellular automata research. This model is referred to as “restricted convolutional neural network” and its characteristic is that the feature maps are not fully connected, i.e.
Mehran Mirkhan, Mohammad Reza Meybodi
openaire   +1 more source

A Survey on Convolution Neural Networks

2020 IEEE REGION 10 CONFERENCE (TENCON), 2020
Major tools to implement any Artificial Intelligence and Machine Learning systems are Symbolic AI and Artificial Neural Network (ANN) AI. ANN has made a dramatic improvement in the versatile area of Machine Learning (ML). ANN is a gathering of vast number of weighted interconnected artificial neurons, initially invented with the inspiration of ...
openaire   +1 more source

Quadtree Convolutional Neural Networks

2018
This paper presents a Quadtree Convolutional Neural Network (QCNN) for efficiently learning from image datasets representing sparse data such as handwriting, pen strokes, freehand sketches, etc. Instead of storing the sparse sketches in regular dense tensors, our method decomposes and represents the image as a linear quadtree that is only refined in ...
Pradeep Kumar Jayaraman, Jianhan Mei, Jianfei Cai 0001, Jianmin Zheng   +3 more
openaire   +1 more source

Convolutional Neural Networks

2023
openaire   +2 more sources

CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network

IEEE Transactions on Intelligent Transportation Systems, 2022
Yanning Zhang, Ju Huyan
exaly  

HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System

Processes, 2021
Muhammad Ashfaq Khan
exaly  

Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification

IEEE Transactions on Image Processing, 2022
Liangpei Zhang, Bo Du, Yanni Dong
exaly  

Image classification and adversarial robustness analysis based on hybrid quantum–classical convolutional neural network

Optics Communications, 2023
Nanrun Zhou
exaly