Results 31 to 40 of about 525,499 (288)

Temporal refinement of 3D CNN semantic segmentations on 4D time-series of undersampled tomograms using hidden Markov models

Scientific Reports, 2021
Recently, several convolutional neural networks have been proposed not only for 2D images, but also for 3D and 4D volume segmentation. Nevertheless, due to the large data size of the latter, acquiring a sufficient amount of training annotations is much ...
Dimitrios Bellos, Mark Basham, Tony Pridmore, Andrew P. French   +3 more
doaj   +1 more source

Generic Object Detection With Dense Neural Patterns and Regionlets [PDF]

, 2014
This paper addresses the challenge of establishing a bridge between deep convolutional neural networks and conventional object detection frameworks for accurate and efficient generic object detection.
Lin, Yuanqing, Sun, Miao, Wang, Xiaoyu, Zou, Will Y.   +3 more
core   +1 more source

Classification methods for handwritten digit recognition: A survey

Vojnotehnički Glasnik, 2023
Introduction/purpose: This paper provides a survey of handwritten digit recognition methods tested on the MNIST dataset. Methods: The paper analyzes, synthesizes and compares the development of different classifiers applied to the handwritten digit ...
Ira M. Tuba, Una M. Tuba, Mladen Đ. Veinović   +2 more
doaj   +1 more source

Learning flexible representations of stochastic processes on graphs

, 2018
Graph convolutional networks adapt the architecture of convolutional neural networks to learn rich representations of data supported on arbitrary graphs by replacing the convolution operations of convolutional neural networks with graph-dependent linear ...
Balan, Radu, Bohannon, Addison, Sadler, Brian   +2 more
core   +1 more source

Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation [PDF]

, 2017
In deep neural networks with convolutional layers, each layer typically has fixed-size/single-resolution receptive field (RF). Convolutional layers with a large RF capture global information from the input features, while layers with small RF size ...
Grais, Emad M., Plumbley, Mark D., Ward, Dominic, Wierstorf, Hagen   +3 more
core   +2 more sources

Dual-channel deep graph convolutional neural networks

Frontiers in Artificial Intelligence
The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of various subsequent machine learning tasks.
Zhonglin Ye, Zhonglin Ye, Zhonglin Ye, Zhonglin Ye, Zhuoran Li, Zhuoran Li, Zhuoran Li, Zhuoran Li, Gege Li, Gege Li, Gege Li, Gege Li, Haixing Zhao, Haixing Zhao, Haixing Zhao, Haixing Zhao   +15 more
doaj   +1 more source

An Improved Convolutional Neural Networks: Quantum Pseudo-Transposed Convolutional Neural Networks

IEEE Access
Recent advancements in quantum machine learning have spurred the development of hybrid quantum-classical convolutional neural networks (HQCCNNs), which have demonstrated promising potential for image classification tasks.
Li Hai, Chen Liang, Hao Yaming, Yu Wenli, Shi Fengquan   +4 more
doaj   +1 more source

Interpretable Convolutional Neural Networks

, 2018
This paper proposes a method to modify traditional convolutional neural networks (CNNs) into interpretable CNNs, in order to clarify knowledge representations in high conv-layers of CNNs.
Wu, Ying Nian, Zhang, Quanshi, Zhu, Song-Chun   +2 more
core   +1 more source

A new approach to seasonal energy consumption forecasting using temporal convolutional networks

Results in Engineering, 2023
There has been a significant increase in the attention paid to resource management in smart grids, and several energy forecasting models have been published in the literature.
Abdul Khalique Shaikh, Amril Nazir, Nadia Khalique, Abdul Salam Shah, Naresh Adhikari   +4 more
doaj   +1 more source

Video Description using Bidirectional Recurrent Neural Networks

, 2016
Although traditionally used in the machine translation field, the encoder-decoder framework has been recently applied for the generation of video and image descriptions.
Bolaños, Marc, Casacuberta, Francisco, Peris, Álvaro, Radeva, Petia   +3 more
core   +1 more source