咨询与建议

限定检索结果

文献类型

  • 158 篇 期刊文献
  • 92 篇 会议
  • 2 篇 学位论文

馆藏范围

  • 252 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 235 篇 工学
    • 124 篇 计算机科学与技术...
    • 87 篇 电气工程
    • 40 篇 控制科学与工程
    • 33 篇 信息与通信工程
    • 24 篇 机械工程
    • 18 篇 软件工程
    • 15 篇 生物医学工程(可授...
    • 14 篇 仪器科学与技术
    • 12 篇 石油与天然气工程
    • 8 篇 材料科学与工程(可...
    • 8 篇 动力工程及工程热...
    • 8 篇 电子科学与技术(可...
    • 8 篇 测绘科学与技术
    • 5 篇 土木工程
    • 4 篇 化学工程与技术
    • 2 篇 建筑学
    • 2 篇 纺织科学与工程
    • 2 篇 农业工程
  • 47 篇 理学
    • 19 篇 生物学
    • 11 篇 物理学
    • 9 篇 化学
    • 8 篇 地球物理学
    • 4 篇 数学
    • 3 篇 地理学
    • 3 篇 系统科学
    • 2 篇 统计学(可授理学、...
  • 30 篇 医学
    • 13 篇 基础医学(可授医学...
    • 13 篇 临床医学
    • 3 篇 医学技术(可授医学...
  • 23 篇 管理学
    • 21 篇 管理科学与工程(可...
  • 8 篇 农学
  • 1 篇 法学
  • 1 篇 教育学

主题

  • 252 篇 sparse autoencod...
  • 63 篇 deep learning
  • 24 篇 fault diagnosis
  • 18 篇 feature extracti...
  • 16 篇 deep neural netw...
  • 11 篇 machine learning
  • 9 篇 dimensionality r...
  • 7 篇 support vector m...
  • 7 篇 deep belief netw...
  • 7 篇 convolutional ne...
  • 6 篇 image classifica...
  • 6 篇 feature selectio...
  • 6 篇 convolutional ne...
  • 6 篇 unsupervised lea...
  • 5 篇 compressed sensi...
  • 5 篇 anomaly detectio...
  • 5 篇 face recognition
  • 5 篇 autoencoder
  • 5 篇 unsupervised fea...
  • 5 篇 convolutional au...

机构

  • 6 篇 xian univ techno...
  • 6 篇 tianshui normal ...
  • 3 篇 nanyang technol ...
  • 2 篇 nanjing normal u...
  • 2 篇 zhongnan univ ec...
  • 2 篇 northeast petr u...
  • 2 篇 chinese acad sci...
  • 2 篇 hong kong univ s...
  • 2 篇 northeastern uni...
  • 2 篇 china univ petr ...
  • 2 篇 northwestern pol...
  • 2 篇 hebei univ affil...
  • 2 篇 kasetsart univ g...
  • 2 篇 ming chuan univ ...
  • 2 篇 hubei key lab ad...
  • 2 篇 shenzhen institu...
  • 2 篇 china univ geosc...
  • 2 篇 zhengzhou univ l...
  • 2 篇 natl cent univ d...
  • 2 篇 natl inst techno...

作者

  • 7 篇 xie guo
  • 7 篇 yang jing
  • 7 篇 yang yanxi
  • 3 篇 hu jun
  • 3 篇 nair madhu s.
  • 3 篇 zhang yu-dong
  • 3 篇 wang tianzhen
  • 3 篇 xin bin
  • 3 篇 wang shui-hua
  • 2 篇 zhu zhongkui
  • 2 篇 chen kunjin
  • 2 篇 li xin
  • 2 篇 wu min
  • 2 篇 shen changqing
  • 2 篇 kim ji-seon
  • 2 篇 liu ming
  • 2 篇 liu hongyi
  • 2 篇 lin feng
  • 2 篇 hou xiao-xia
  • 2 篇 hou zengguang

语言

  • 242 篇 英文
  • 5 篇 中文
  • 4 篇 其他
  • 1 篇 法文
检索条件"主题词=Sparse AutoEncoder"
252 条 记 录,以下是241-250 订阅
排序:
Lifted Bregman training of neural networks
The Journal of Machine Learning Research
收藏 引用
The Journal of Machine Learning Research 2023年 第1期24卷 10909-10959页
作者: Xiaoyu Wang Martin Benning Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge UK School of Mathematical Sciences Queen Mary University of London London UK
We introduce a novel mathematical formulation for the training of feed-forward neural networks with (potentially non-smooth) proximal maps as activation functions. This formulation is based on Bregman distances and a ... 详细信息
来源: 评论
Fault Detection based on Deep Learning for Digital VLSI Circuits
收藏 引用
Procedia Computer Science 2021年 194卷 122-131页
作者: Lamya Gaber Aziza I. Hussein Mohammed Moness Computers and Systems Eng. Dept. Minia University Minia 61111 Egypt Electrical and Computer Eng. Dept. Effat University Jeddah 22332 Saudi Arabia
As growing complexity of digital VLSI circuits, fault detection and correction processes have been the most crucial phases during IC design. Many CAD tools and formal approaches have been used for debugging and locali... 详细信息
来源: 评论
Predicting the potential associations between circRNA and drug sensitivity using a multisource feature-based approach
收藏 引用
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE 2024年 第19期28卷 e18591页
作者: Yin, Shuaidong Xu, Peng Jiang, Yefeng Yang, Xin Lin, Ye Zheng, Manyu Hu, Jinpeng Zhao, Qi Univ Sci & Technol Liaoning Sch Comp Sci & Software Engn Anshan 114051 Peoples R China Univ Sci & Technol Liaoning Sch Elect & Informat Engn Anshan Peoples R China Jilin Univ Coll Comp Sci & Technol Changchun Peoples R China
The unique non-coding RNA molecule known as circular RNA (circRNA) is distinguished from conventional linear RNA by having a longer half-life, greater degree of conservation and inherent solidity. Extensive research h... 详细信息
来源: 评论
A deep feature extraction method for bearing fault diagnosis based on empirical mode decomposition and kernel function
收藏 引用
ADVANCES IN MECHANICAL ENGINEERING 2018年 第9期10卷
作者: Wang, Fengtao Deng, Gang Liu, Chenxi Su, Wensheng Han, Qingkai Li, Hongkun Dalian Univ Technol Sch Mech Engn Dalian 116024 Peoples R China Jiangsu Prov Special Equipment Safety Supervis In Wuxi Branch Wuxi Peoples R China
To avoid catastrophic failures in rotating machines, it is of great significance to continuously monitor and diagnose the running state of rolling bearings. In this article, a deep feature extraction method for rollin... 详细信息
来源: 评论
Hybrid evolutionary approach for Devanagari handwritten numeral recognition using Convolutional Neural Network
收藏 引用
Procedia Computer Science 2018年 125卷 525-532页
作者: Adarsh Trivedi Siddhant Srivastava Apoorva Mishra Anupam Shukla Ritu Tiwari Soft Computing and Expert System Laboratory ABV-Indian Institute of Information Technology Gwalior 474015 India
In recent years, deep learning has been extensively used in both supervised and unsupervised learning problems. Among the deep learning models, CNN has outperformed all others for object recognition task. Although CNN... 详细信息
来源: 评论
Semi-Supervised autoencoder : A Joint Approach of Representation And Classification  7
Semi-Supervised Autoencoder : A Joint Approach of Representa...
收藏 引用
7th International Conference on Computational Intelligence and Communication Networks (CICN)
作者: Wu Haiyan Yang Haomin Li Xueming Ren Haijun Chongqing Univ Coll Comp Sci Chongqing Peoples R China
Recent years have witnessed the significant success of representation learning and deep learning in various prediction and recognition applications. Most of these previous studies adopt the two-phase procedures, namel... 详细信息
来源: 评论
GesID: 3D Gesture Authentication Based on Depth Camera and One-Class Classification
收藏 引用
SENSORS 2018年 第10期18卷 3265-3265页
作者: Wang, Xuan Tanaka, Jiro Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ward 2-7 Hibikino Kitakyushu Fukuoka 8080135 Japan
Biometric authentication is popular in authentication systems, and gesture as a carrier of behavior characteristics has the advantages of being difficult to imitate and containing abundant information. This research a... 详细信息
来源: 评论
A Novel Deep Model for Image Recognition
A Novel Deep Model for Image Recognition
收藏 引用
2014 IEEE 5th International Conference on Software Engineering and Service Science
作者: Ming Zhu Yan Wu College of Electronics & Information Engineering University of Tongji
In this paper we propose a hybrid deep network for image *** we use the sparse autoencoder(SAE) which is a method to extract high-level feature representations of data in an unsupervised way,without any manual feature... 详细信息
来源: 评论
SAR Automatic Target Recognition Based on a Visual Cortical System
SAR Automatic Target Recognition Based on a Visual Cortical ...
收藏 引用
International Congress on Image and Signal Processing
作者: Jia Cheng Ni Yue Lei Xu Institute of Aeronautics and Astronautics Engineering Air Force Engineering University
Human Vision system is the most complex and accurate system. In order to extract better features about Synthetic Aperture Radar (SAR) targets, a SAR automatic target recognition (ATR) algorithm based on human visual c... 详细信息
来源: 评论
基于三维人脸建模的多视角人脸识别方法研究
基于三维人脸建模的多视角人脸识别方法研究
收藏 引用
作者: 邢健飞 杭州电子科技大学
学位级别:硕士
作为典型的模式识别任务,人脸识别有着巨大的实际应用价值与市场前景。理想环境下的人脸识别已经取得不俗成绩,然而,当所处环境变化(如姿态变换、夸张表情、阴阳脸、分辨率较低)时,识别难度增加,效果也急剧变差。与此同时,现有... 详细信息
来源: 评论