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检索条件"主题词=autoencoder"
4251 条 记 录,以下是251-260 订阅
排序:
Attention-Guided autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI
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IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2023年 第6期27卷 2980-2989页
作者: Guan, Hao Yue, Ling Yap, Pew-Thian Xiao, Shifu Bozoki, Andrea Liu, Mingxia Univ North Carolina Chapel Hill Dept Radiol Chapel Hill NC 27599 USA Univ North Carolina Chapel Hill Biomed Res Imaging Ctr Chapel Hill NC 27599 USA Shanghai Jiao Tong Univ Shanghai Mental Hlth Ctr Dept Geriatr Psychiat Sch Med Shanghai 200030 Peoples R China Univ North Carolina Chapel Hill Dept Neurol Chapel Hill NC 27599 USA
Subjective cognitive decline (SCD) is the preclinical stage of Alzheimer's disease (AD) which happens even earlier than mild cognitive impairment (MCI). Progressive SCD will convert to MCI with the potential of fu... 详细信息
来源: 评论
Classification of data on stacked autoencoder using modified sigmoid activation function
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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023年 第1期44卷 1-18页
作者: Kumar, Arvind Sodhi, Sartaj Singh Comp Sci & Engn USICT GGSIPU Delhi India
A Neural Network is one of the techniques by which we classify data. In this paper, we have proposed an effectively stacked autoencoder with the help of a modified sigmoid activation function. We have made a two-layer... 详细信息
来源: 评论
Advanced autoencoder Transfer Function Parameter Extraction Technique for Neuro-TF Parametric Modeling of Microwave Components
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IEEE MICROWAVE AND WIRELESS TECHNOLOGY LETTERS 2024年 第5期34卷 459-462页
作者: Liu, Jinyi Feng, Feng Liu, Wei Xue, Jianguo Liu, Shaochang Gao, Fang Li, Xiaolong Zhang, Qi-Jun Tianjin Univ Sch Microelect Tianjin Key Lab Imaging & Sensing Microelect Techn Tianjin 300072 Peoples R China Carleton Univ Dept Elect Ottawa ON K1S 5B6 Canada
Recently, neuro-transfer function (neuro-TF) has become a recognized method for electromagnetic (EM) parametric modeling. The existing neuro-TF methods use the vector fitting technique to perform transfer function (TF... 详细信息
来源: 评论
Robust deep image clustering using convolutional autoencoder with separable discrete Krawtchouk and Hahn orthogonal moments
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INTELLIGENT SYSTEMS WITH APPLICATIONS 2024年 22卷
作者: Bouali, Aymane El Ouariachi, Ilham Zahi, Azeddine Zenkouar, Khalid Univ Sidi Mohamed Ben Abdellah Fac Sci & Technol Lab Intelligent Syst & Applicat LSIA Fes Morocco Univ Moulay Ismail Fac Sci Dept Comp Sci Meknes Morocco
By cooperatively learning features and assigning clusters, deep clustering is superior to conventional clustering algorithms. Numerous deep clustering algorithms have been developed for a variety of application levels... 详细信息
来源: 评论
Joint Triplet autoencoder for histopathological colon cancer nuclei retrieval
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MULTIMEDIA TOOLS AND APPLICATIONS 2023年 第1期83卷 1063-1082页
作者: Singh, Satya Rajendra Dubey, Shiv Ram Shruthi, M. S. Ventrapragada, Sairathan Dasharatha, Saivamshi Salla Indian Inst Informat Technol Comp Vis Grp Sri City Andhra Prades India Indian Inst Informat Technol Comp Vis & Biometr Lab Allahabad Uttar Pradesh India
Deep learning has shown a great improvement in the performance of visual tasks. Image retrieval is the task of extracting the visually similar images from a database for a query image. The feature matching is performe... 详细信息
来源: 评论
Prototype-Guided autoencoder for OCT-Based Fingerprint Presentation Attack Detection
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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2023年 18卷 3461-3475页
作者: Liu, Yi-Peng Zuo, Wangyang Liang, Ronghua Sun, Haohao Li, Zhanqing Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou 310023 Peoples R China
Anti-spoofing ability is vital for fingerprint identification systems. Conventional fingerprint scanning devices can only obtain information from the fingertip surfaces, and their performance is susceptible to skin co... 详细信息
来源: 评论
Evolving Domain Generalization via Latent Structure-Aware Sequential autoencoder
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2023年 第12期45卷 14514-14527页
作者: Qin, Tiexin Wang, Shiqi Li, Haoliang City Univ Hong Kong Dept Elect & Engn Kowloon Hong Kong Peoples R China City Univ Hong Kong Sch Comp Sci Kowloon Hong Kong Peoples R China
Domain generalization (DG) refers to the problem of generalizing machine learning systems to out-of-distribution (OOD) data with knowledge learned from several provided source domains. Most prior works confine themsel... 详细信息
来源: 评论
An interpretable health indicator for bearing condition monitoring based on semi-supervised autoencoder latent space variance maximization
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MEASUREMENT SCIENCE AND TECHNOLOGY 2023年 第12期34卷 125135-125135页
作者: Chen, Xieyi Wang, Yi Meng, Lihua Qin, Yi Tang, Baoping Chongqing Univ Coll Mech & Vehicle Engn Chongqing 400044 Peoples R China Chongqing Univ State Key Lab Mech Transmiss Chongqing 400044 Peoples R China
Effective health indicator (HI) construction can help equipment managers detect the abnormal state of rotating machinery quickly. However, although the current deep learning-based HI construction methods have good lif... 详细信息
来源: 评论
Application of Extreme Learning Machine- autoencoder to Medium Term Electricity Price Forecasting
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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2023年 第6期59卷 7214-7223页
作者: Najafi, Arsalan Homaee, Omid Golshan, Mehdi Jasinski, Michal Leonowicz, Zbigniew Wroclaw Univ Sci & Technol Fac Elect Engn Dept Elect Engn Fundamentals PL-50370 Wroclaw Poland Islamic Azad Univ Dept Comp Engn Sepidan Branch Sepidan *** Iran VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Dept Elect Power Engn Ostrava 70800 Czech Republic
Electricity market prices are highly volatile, highly frequent, non-linear, and non-stationary which makes forecasting very complicated. Although accurate forecasting plays a crucial role in the electricity market for... 详细信息
来源: 评论
Perturbation AUTOVC: Voice Conversion From Perturbation and autoencoder Loss
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IEEE ACCESS 2023年 11卷 140174-140185页
作者: Park, Hwa-Young Lee, Young Han Chun, Chanjun Chosun Univ Dept Comp Engn Gwangju 61452 South Korea Korea Elect Technol Inst KETI Intelligent Image Proc Res Ctr Seongnam 13509 South Korea
AUTOVC is a voice-conversion method that performs self-reconstruction using an autoencoder structure for zero-shot voice conversion. AUTOVC has the advantage of being easy and simple to learn because it only uses the ... 详细信息
来源: 评论