Results 91 to 100 of about 5,349,001 (214)

A Frequency-Domain Convolutional Neural Network Architecture Based on the Frequency-Domain Randomized Offset Rectified Linear Unit and Frequency-Domain Chunk Max Pooling Method

IEEE Access, 2020
It is of great importance to construct a convolutional neural network architecture in the frequency domain to explore the theory of deep learning in the frequency domain.
Jinhua Lin, Lin Ma, Jingxia Cui
doaj   +1 more source

Convexified Convolutional Neural Networks

CoRR, 2016
We describe the class of convexified convolutional neural networks (CCNNs), which capture the parameter sharing of convolutional neural networks in a convex manner. By representing the nonlinear convolutional filters as vectors in a reproducing kernel Hilbert space, the CNN parameters can be represented as a low-rank matrix, which can be relaxed to ...
Yuchen Zhang 0002, Percy Liang, Martin J. Wainwright   +2 more
openaire   +3 more sources

Convolutional neural network related.

, 2022
Convolutional neural network related.
Ding Han (4857559), Caili Gong (12769732), Minghua Tian (7277369), Shilong Zhang (8576355), Yushuang Ji (12859582), Yongfeng Wei (2641687), Liang Chen (73736), Xinyu Du (4453507)   +7 more
core   +1 more source

Low Frequency Ultrasonic Voice Activity Detection using Convolutional Neural Networks [PDF]

Low frequency ultrasonic mouth state detection uses reflected audio chirps from the face in the region of the mouth to determine lip state, whether open, closed or partially open.
Song, Yan, McLoughlin, Ian Vince
core  

Enhanced image classification with a fast-learning shallow convolutional neural network

, 2015
We present a neural network architecture and training method designed to enable very rapid training and low implementation complexity. Due to its training speed and the absence of iteratively-tuned parameters, the method has strong potential for ...
Vladusich, T., Mark D. McDonnell, Tony Vladusich, McDonnell, M.   +3 more
core   +1 more source

Application of wavelets and artificial neural network for indoor optical wireless communication systems [PDF]

This study investigates the use of error control code, discrete wavelet transform (DWT) and artificial neural network (ANN) to improve the link performance of an indoor optical wireless communication in a physical channel.
Rajbhandari, Sujan
core  

Learning shape correspondence with anisotropic convolutional neural networks [PDF]

, 2016
Convolutional neural networks have achieved extraordinary results in many computer vision and pattern recognition applications; however, their adoption in the computer graphics and geometry processing communities is limited due to the non-Euclidean ...
Rodolà, Emanuele, Bronstein, Michael, Masci, Jonathan, Boscaini, Davide, Bronstein, Michael M.   +4 more
core  

ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos

, 2019
The task of crowd counting and density maps estimating from videos is challenging due to severe occlusions, scene perspective distortions and diverse crowd distributions.
Gao, Y, Han, J, Zhang, B, Miao, Y
core   +1 more source

Transferable Convolutional Neural Network for Weed Mapping With Multisensor Imagery

, 2021
Automatic weed monitoring and classification are critical for effective site-specific weed management. With the increasing availability of different sensors, it is possible for weed management to be achieved by processing a wide range of images captured ...
Hu, J, Zhou, J, Jia, X, Farooq, A
core   +1 more source

Electromagnetic Imaging of Uniaxial Objects by Two-Step Neural Network

The integration of electromagnetic imaging technology with the Internet of Things plays an important role in fields as diverse as healthcare, geophysics, and industrial diagnostics.
Chien, Wei;Chiu, Chien-Ching;Chen, Po-Hsiang;Wu, Hung-Yu;Lim, Eng Hock
core   +1 more source