Results 21 to 30 of about 173,502 (284)

Chronotherapy Network Netherlands (CNN) [PDF]

Journal of Biological Rhythms, 2019
Information is provided about the Chronotherapy Network Netherlands (CNN).
Ybe Meesters, Danielle Starreveld, Esmée Verwijk, Harm-Pieter Spaans, Marijke C. M. Gordijn   +4 more
openaire   +7 more sources

Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification [PDF]

, 2015
We propose a local modelling approach using deep convolutional neural networks (CNNs) for fine-grained image classification. Recently, deep CNNs trained from large datasets have considerably improved the performance of object recognition.
Corke, Peter, Ge, ZongYuan, McCool, Chris, Sanderson, Conrad   +3 more
core   +3 more sources

Convolutional Neural Networks using FPGA-based Pipelining

Iraqi Journal for Computer Science and Mathematics, 2023
In order to speed up convolutional neural networks (CNNs), this study gives a complete overview of the use of FPGA-based pipelining for hardware acceleration of CNNs.
Gheni A. Ali, ahmed hussein ali
doaj   +1 more source

When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition [PDF]

, 2015
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently. However, it remains an open question: why CNNs work well and how to design a 'good' architecture.
Christmas, William, Hospedales, Timothy, Hu, Guosheng, Kittler, Josef, Li, Stan Z., Yang, Yongxin, Yi, Dong   +6 more
core   +2 more sources

Automatic Classification for Sagittal Craniofacial Patterns Based on Different Convolutional Neural Networks

Diagnostics, 2022
(1) Background: The present study aims to evaluate and compare the model performances of different convolutional neural networks (CNNs) used for classifying sagittal skeletal patterns.
Haizhen Li, Ying Xu, Yi Lei, Qing Wang, Xuemei Gao   +4 more
doaj   +1 more source

CNN-DMA [PDF]

Proceedings of the 2021 Great Lakes Symposium on VLSI, 2021
Memory bandwidth utilization has become the key performance bottleneck for state-of-the-art variants of neural network kernels. Current structures such as depth-wise, point-wise and atrous convolutions have already introduced diverse and discontinuous memory access patterns, which impact efficient activation supply due to more frequent cache misses and
Zheng Wang, Zhuo Wang, Jian Liao, Chao Chen, Yongkui Yang, Bo Dong, Weiguang Chen, Wenxuan Chen, Ming Lei, Weiyu Guo, Rui Chen, Yi Peng, Zhibin Yu   +12 more
openaire   +1 more source

Evaluation of the benchmark datasets for testing the efficacy of deep convolutional neural networks

Visual Informatics, 2021
In the past decade, deep neural networks, and specifically convolutional neural networks (CNNs), have been becoming a primary tool in the field of biomedical image analysis, and are used intensively in other fields such as object or face recognition ...
Sanchari Dhar, Lior Shamir
doaj   +1 more source

YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration [PDF]

, 2017
Convolutional neural networks (CNNs) have revolutionized the world of computer vision over the last few years, pushing image classification beyond human accuracy.
Andri, Renzo, Benini, Luca, Cavigelli, Lukas, Rossi, Davide   +3 more
core   +2 more sources

P-CNN: Pose-Based CNN Features for Action Recognition [PDF]

2015 IEEE International Conference on Computer Vision (ICCV), 2015
ICCV, December 2015, Santiago ...
Chéron, Guilhem, Laptev, Ivan, Schmid, Cordelia   +2 more
openaire   +3 more sources

Adaptive Deep Learning for Soft Real-Time Image Classification

Technologies, 2021
CNNs (Convolutional Neural Networks) are becoming increasingly important for real-time applications, such as image classification in traffic control, visual surveillance, and smart manufacturing.
Fangming Chai, Kyoung-Don Kang
doaj   +1 more source