Results 71 to 80 of about 92,424 (280)

Motion Detection by Microcontroller for Panning Cameras [PDF]

, 2017
Motion detection is the first essential process in the extraction of information regarding moving objects. The approaches based on background difference are the most used with fixed cameras to perform motion detection, because of the high quality of the ...
Benito-Picazo, Jesús, Domínguez, Enrique, López-Rubio, Ezequiel, Ortiz-de-lazcano-Lobato, Juan Miguel, Palomo, Esteban J.   +4 more
core  

Statistical mechanics of lossy compression using multilayer perceptrons

, 2006
Statistical mechanics is applied to lossy compression using multilayer perceptrons for unbiased Boolean messages. We utilize a tree-like committee machine (committee tree) and tree-like parity machine (parity tree) whose transfer functions are monotonic.
C. E. Shannon, C. E. Shannon, Kazushi Mimura, Masato Okada, T. M. Cover, W. Krauth   +5 more
core   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Analytical and Numerical Study of Internal Representations in Multilayer Neural Networks with Binary Weights

, 1996
We study the weight space structure of the parity machine with binary weights by deriving the distribution of volumes associated to the internal representations of the learning examples.
A. Engel, B. Derrida, E. Barkai, E. Barkai, E. Barkai, E. Gardner, E. Gardner, G. J. Bex, G. J. Mitchison, H. Gutfreund, J. Hertz, M. Mezard, M. Opper, R. Monasson, R. Monasson, R. Monasson, Riccardo Zecchina, Rémi Monasson, Simona Cocco, W. Krauth, W. Krauth   +20 more
core   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Learning Dynamic Classes of Events using Stacked Multilayer Perceptron Networks

, 2016
People often use a web search engine to find information about events of interest, for example, sport competitions, political elections, festivals and entertainment news.
Kanhabua, Nattiya, Moeslund, Thomas B., Ren, Huamin   +2 more
core  

GloPath: An Entity‐Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

Advanced Science, EarlyView.
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He, Jing Li, Tian Guan, Yifei Ma, Zimo Zhao, Yanxia Wang, Hongjing Chen, Yingming Xu, Shuang Ge, Yexing Zhang, Yizhi Wang, Xinrui Chen, Lianghui Zhu, Yiqing Liu, Qingxia Hou, Shuyan Zhao, Xiaoqin Wang, Lili Ma, Peizhen Hu, Qiang Huang, Zihan Wang, Zhiyuan Shen, Junru Cheng, Siqi Zeng, Jiurun Chen, Zhen Song, Chao He, Zhe Wang, Yonghong He   +28 more
wiley   +1 more source

Air Pollutant Concentration Forecasting with WTMP: Wavelet Transform-Based Multilayer Perceptron

Atmosphere
Atmospheric pollutants’ real-time changes and the internal interactions among various data make it challenging to efficiently predict concentration variations.
Xiaoling Wang, Liangzhao Tao, Mingliang Fu, Qi Wang   +3 more
doaj   +1 more source

Forecasting the monthly incidence rate of brucellosis in west of Iran using time series and data mining from 2010 to 2019.

PLoS ONE, 2020
BACKGROUND:The identification of statistical models for the accurate forecast and timely determination of the outbreak of infectious diseases is very important for the healthcare system.
Hadi Bagheri, Leili Tapak, Manoochehr Karami, Zahra Hosseinkhani, Hamidreza Najari, Safdar Karimi, Zahra Cheraghi   +6 more
doaj   +1 more source

Mixture of Multilayer Perceptron Regressions

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
This paper investigates mixture of multilayer perceptron (MLP) regressions. Although mixture of MLP regressions (MoMR) can be a strong fitting model for noisy data, the research on it has been rare. We employ soft mixture approach and use the Expectation-Maximization (EM) algorithm as a basic learning method. Our learning method goes in a double-looped
Ryohei Nakano, Seiya Satoh
openaire   +1 more source