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检索条件"主题词=sparse AutoEncoder"
252 条 记 录,以下是201-210 订阅
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An Effective Multi-classification Method for NHL Pathological Images
An Effective Multi-classification Method for NHL Pathologica...
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IEEE International Conference on Systems, Man, and Cybernetics (SMC)
作者: Jiang, Huiyan Li, Zhongkuan Li, Siqi Zhou, Fucai Northeastern Univ Software Coll Shenyang 110819 Liaoning Peoples R China Northeastern Univ Sino Dutch Biomed & Informat Engn Sch Shenyang 110819 Liaoning Peoples R China
Accurate classification on pathological images is a significant research focus such as for non-Hodgkin lymphomas (NHL). To this end, this paper proposes a hierarchical classification model based on the labels' sta... 详细信息
来源: 评论
Application of stack marginalised sparse denoising auto-encoder in fault diagnosis of rolling bearing
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JOURNAL OF ENGINEERING-JOE 2018年 第16期2018卷 1772-1777页
作者: Zhang, Junling Chen, Zhigang Du, Xiaolei Xu, Xu Yu, Miao Beijing Univ Civil Engn & Architecture Inst Elect & Mech & Vehicle Engn Beijing 100044 Peoples R China Construct Safety Monitoring Engn Technol Res Ctr Beijing 100037 Peoples R China
When a fracturing vehicle is working, it generally needs to bear high loads, media corrosion and erosion. For this special working environment, this study proposes a rolling bearing fault diagnosis method based on sta... 详细信息
来源: 评论
Hybrid evolutionary approach for Devanagari handwritten numeral recognition using Convolutional Neural Network  6
Hybrid evolutionary approach for Devanagari handwritten nume...
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6th International Conference on Smart Computing and Communications (ICSCC)
作者: Trivedi, Adarsh Srivastava, Siddhant Mishra, Apoorva Shukla, Anupam Tiwari, Ritu ABV Indian Inst Informat Technol Soft Comp & Expert Syst Lab 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
PAN-SHARPENING BASED ON MULTILEVEL COUPLED DEEP NETWORK  38
PAN-SHARPENING BASED ON MULTILEVEL COUPLED DEEP NETWORK
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38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Cai, Wanting Xu, Yang Wu, Zebin Liu, Hongyi Qian, Ling Wei, Zhihui Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing 210094 Jiangsu Peoples R China Nanjing Robot Res Inst Co Ltd Nanjing 211135 Jiangsu Peoples R China Lianyungang E Port Informat Dev Co Ltd Lianyungang 222042 Peoples R China Nanjing Univ Sci & Technol Sch Sci Nanjing 210094 Jiangsu Peoples R China Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Jiangsu Peoples R China
Pan-sharpening is a common image-fusion method. To improve the quality of fused images, a multilevel deep learning Pan-sharpening method is proposed in this paper. In the training phase, we introduce Coupled sparse De... 详细信息
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Class-Specific Pre-trained sparse autoencoders for Learning Effective Features for Document Classification  8
Class-Specific Pre-trained Sparse Autoencoders for Learning ...
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8th Computer Science and Electronic Engineering (CEEC)
作者: Abdulhussain, Maysa I. Gan, John Q. Univ Essex Sch Comp Sci & Elect Engn Colchester C04 3SQ Essex England Univ Baghdad Dept Comp Sci Coll Sci Baghdad Iraq
sparse autoencoder is a commonly used deep learning approach for automatically learning features from unlabelled data (unsupervised feature learning). This paper proposes class-specific (supervised) pre-trained approa... 详细信息
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Automatic diagnosis of pulmonary nodules using a hierarchical extreme learning machine model
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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2018年 第3期11卷 192-201页
作者: Hao, Rui Qiang, Zilin Qiang, Yan Ge, Lei Zhao, Juanjuan Shanxi Univ Finance & Econ Coll Informat Management Taiyuan Shanxi Peoples R China Taiyuan Univ Technol Coll Software Taiyuan Shanxi Peoples R China Taiyuan Univ Technol Coll Comp Sci & Technol Taiyuan Shanxi Peoples R China
To effectively improve the diagnosis of pulmonary nodules, this paper proposes a new automatic diagnosis method for pulmonary nodules based on a new hierarchical extreme learning machine (H-ELM) that can automatically... 详细信息
来源: 评论
Feature Abstraction for Early Detection of Multi-type of Dementia with sparse Auto-encoder
Feature Abstraction for Early Detection of Multi-type of Dem...
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IEEE International Conference on Systems, Man, and Cybernetics (SMC)
作者: Alkabawi, Elham M. Hilal, Allaa R. Basir, Otman A. Univ Waterloo Dept Elect & Comp Engn Waterloo ON Canada
With millions of people suffering from dementia worldwide, the global prevalence of dementia has a significant impact on the patients' lives, their caregivers' physical and emotional states, and the global eco... 详细信息
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DETECTION OF LUMEN AND MEDIA-ADVENTITIA BORDERS IN IVUS IMAGES USING sparse AUTO-ENCODER NEURAL NETWORK  14
DETECTION OF LUMEN AND MEDIA-ADVENTITIA BORDERS IN IVUS IMAG...
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IEEE 14th International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro
作者: Su, Shengran Gao, Zhifan Zhang, Heye Lin, Qiang Hau, William Kongto Li, Shuo Zhejiang Univ Technol Coll Sci Hangzhou Zhejiang Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Beijing Peoples R China Univ Chinese Acad Sci Shenzhen Coll Adv Technol Beijing Peoples R China Univ Hong Kong LiKaShing Fac Med Hong Kong Hong Kong Peoples R China Univ Western Ontario London ON Canada
This paper describes an artificial neural network (ANN) method that employs a feature-learning algorithm to detect the lumen and MA borders in intravascular ultrasound (IVUS) images. Three types of imaging features in... 详细信息
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Deep feature learning for cover song identification
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MULTIMEDIA TOOLS AND APPLICATIONS 2017年 第22期76卷 23225-23238页
作者: Fang, Jiunn-Tsair Day, Chi-Ting Chang, Pao-Chi Ming Chuan Univ Dept Elect Engn 5 Deming Rd Taoyuan 33348 Taiwan Natl Cent Univ Dept Commun Engn 300 Jhongda Rd Taoyuan 32001 Taiwan
The identification of a cover song, which is an alternative version of a previously recorded song, for music retrieval has received increasing attention. Methods for identifying a cover song typically involve comparin... 详细信息
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Feature learning and change feature classification based on deep learning for ternary change detection in SAR images
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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 2017年 第Jul.期129卷 212-225页
作者: Gong, Maoguo Yang, Hailun Zhang, Puzhao Xidian Univ Minist Educ Int Res Ctr Intelligent Percept & Computat Key Lab Intelligent Percept & Image Understanding Xian 710071 Shaanxi Provinc Peoples R China
Ternary change detection aims to detect changes and group the changes into positive change and negative change. It is of great significance in the joint interpretation of spatial-temporal synthetic aperture radar imag... 详细信息
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