Results 11 to 20 of about 740 (176)
Pattern Recognition via PCNN and Tsallis Entropy [PDF]
Sensors, 2008 In this paper a novel feature extraction method for image processing via PCNN and Tsallis entropy is presented. We describe the mathematical model of the PCNN and the basic concept of Tsallis entropy in order to find a recognition method for isolated ...
YuDong Zhang, LeNan Wu
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A novel federated learning framework for medical imaging: Resource-efficient approach combining PCA with early stopping. [PDF]
Med PhysAbstract Background Federated learning (FL) facilitates collaborative model training across multiple institutions while preserving privacy by avoiding the sharing of raw data, a critical consideration in medical imaging applications. Despite its potential, FL faces challenges such as high‐dimensional data, heterogeneity among datasets from different ...
Nanekaran NP, Ukwatta E.
europepmc +2 more sources
Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty-Aware Computing. [PDF]
Adv Sci (Weinh)This work introduces a novel photonic Bayesian neural network architecture that utilizes tunable photonic random number generators to independently control weight distribution parameters, significantly improving robustness, scalability, and accuracy while demonstrating practical applications in multimodal data processing and uncertainty‐aware computing.
Zhuge Y +9 more
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EURASIP Journal on Advances in Signal Processing, 2010 A novel method, called adaptive pulse coupled neural network (AD-PCNN) using a two-stage denoising strategy, is proposed to reduce noise and speckle in the spectrograms of Doppler blood flow signals.
Haiyan Li, Yufeng Zhang, Dan Xu
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Discrimination of neutrons and gamma-rays in plastic scintillator based on spiking cortical model
Nuclear Engineering and Technology, 2023 In this study, a spiking cortical model (SCM) based n-γ discrimination method is proposed. The SCM-based algorithm is compared with three other methods, namely: (i) the pulse-coupled neural network (PCNN), (ii) the charge comparison, and (iii) the zero ...
Bing-Qi Liu +5 more
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智慧农业, 2023 ObjectiveTo construct the 3D point cloud model of green plants a large number of clear images are needed. Due to the limitation of the depth of field of the lens, part of the image would be out of focus when the green plant image with a large depth of ...
LI Jiahao +4 more
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Image Fusion Method Based on Snake Visual Imaging Mechanism and PCNN [PDF]
SensorsYong Wang, Qiang Wang
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Medical Image Fusion Based on Compressive Sensing and Adaptive PCNN [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem of poor performance and high computational complexity in the image fusion algorithm which based on Pulse Coupled Neural Network(PCNN) in the Non-subsampled Contourlet Transform(NSCT) domain,an fusion algorithm based on Compressed ...
GAO Yuan,JIA Ziting,QIN Pinle,WANG Lifang
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Multicore Photonic Complex-Valued Neural Network with Transformation Layer
Photonics, 2022 Photonic neural network chips have been widely studied because of their low power consumption, high speed and large bandwidth. Using amplitude and phase to encode, photonic chips can accelerate complex-valued neural network computations. In this article,
Ruiting Wang +7 more
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Palmprint Recognition Using Data Field and PCNN [PDF]
, 2013 In this paper, an approach is proposed for palmprint recognition, which uses PCNN and data field theory to extract local statistical structure features of a palmprint. In the method, the data field theory is firstly introduced to obtain a relative palmprint data field, which enhances the palm line information. Then the relative data field is input into
Yanxia Wang, Jianmin Zhao, Guanghua Sun
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