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检索条件"主题词=autoencoder"
4251 条 记 录,以下是4051-4060 订阅
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Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
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2018年
作者: Armando Fandango
Build, scale, and deploy deep neural network models using the star libraries in PythonAbout This Book• Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras• Build, deploy, and sc... 详细信息
来源: 评论
SEGMENTAL AUDIO WORD2VEC: REPRESENTING UTTERANCES AS SEQUENCES OF VECTORS WITH APPLICATIONS IN SPOKEN TERM DETECTION
SEGMENTAL AUDIO WORD2VEC: REPRESENTING UTTERANCES AS SEQUENC...
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Wang, Yu-Hsuan Lee, Hung-yi Lee, Lin-shan Natl Taiwan Univ Coll Elect Engn & Comp Sci Taipei Taiwan
While Word2Vec represents words (in text) as vectors carrying semantic information, audio Word2Vec was shown to be able to represent signal segments of spoken words as vectors carrying phonetic structure information. ... 详细信息
来源: 评论
RELEVANCE FEEDBACK AND SPARSITY HANDLING METHODS FOR TEMPORAL DATA
RELEVANCE FEEDBACK AND SPARSITY HANDLING METHODS FOR TEMPORA...
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作者: Bahaeddin ERAVCI Bilkent University
学位级别:博士
Data with temporal ordering arises in many natural and digital processes with an increasing importance and immense number of applications. This study provides solutions to data mining problems in analyzing time series... 详细信息
来源: 评论
Coupled multiview autoencoders with locality sensitivity for three-dimensional human pose estimation
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JOURNAL OF ELECTRONIC IMAGING 2017年 第5期26卷 053026-053026页
作者: Yu, Jialin Sun, Jifeng Luo, Shasha Duan, Bichao South China Univ Technol Sch Elect & Informat Engn Guangzhou Guangdong Peoples R China
Estimating three-dimensional (3D) human poses from a single camera is usually implemented by searching pose candidates with image descriptors. Existing methods usually suppose that the mapping from feature space to po... 详细信息
来源: 评论
autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives
Autoencoders trained with relevant information: Blending Sha...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Shujian Yu Matthew Emigh Eder Santana Jose C. Principe Department of Electrical and Computer Engineering University of Florida 32611 United States of America
It is almost seventy years after the publication of Claude Shannon's "A Mathematical Theory of Communication" [1] and Norbert Wiener's "Extrapolation, Interpolation and Smoothing of Stationary T... 详细信息
来源: 评论
81-1:Invited Paper:Data Augmentation for Applying Deep Learning to Display Manufacturing Defect Detection
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SID Symposium Digest of Technical Papers 2020年 第1期51卷
作者: Wei Xiong Janghwan Lee Shuhui Qu Wonhyouk Jang Samsung Display America Lab San Jose CA Samsung Display Co. Ltd. Giheung-gu Yongin-si Gyeonggi-do Korea
Insufficient and imbalance data samples often prevent the development of accurate deep learning models for manufacturing defect detection. By applying data augmentation methods - including VAE latent space oversamplin... 详细信息
来源: 评论
基于集成深度学习算法的燃气负荷预测方法
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计算机系统应用 2019年 第12期28卷 47-54页
作者: 王晓霞 徐晓钟 张彤 高超伟 上海师范大学信息与机电工程学院
燃气负荷预测受到社会经济、天气因素、日期类型等多种复杂因素的影响,而多因素的共同作用则必然会导致燃气负荷序列变化趋势具有很大的随机性以及一定程度上的复杂性.为了有效提高燃气负荷预测的精度,本文提出了一种新型的集成深度算... 详细信息
来源: 评论
Correcting Instrumental Variation and Time-Varying Drift: A Transfer Learning Approach With autoencoders
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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2016年 第9期65卷 2012-2022页
作者: Yan, Ke Zhang, David Tsinghua Univ Grad Sch Shenzhen Dept Elect Engn Shenzhen 518055 Peoples R China Harbin Inst Technol Shenzhen Grad Sch Shenzhen 518055 Peoples R China Hong Kong Polytech Univ Dept Comp Biometr Res Ctr Hong Kong Hong Kong Peoples R China
Electronic noses (e-noses) are instruments that can be used to measure gas samples conveniently. Based on the measured signal, the type and concentration of the gas can be predicted by pattern recognition algorithms. ... 详细信息
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Deep Learning of Part-Based Representation of Data Using Sparse autoencoders With Nonnegativity Constraints
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2016年 第12期27卷 2486-2498页
作者: Hosseini-Asl, Ehsan Zurada, Jacek M. Nasraoui, Olfa Univ Louisville Dept Elect & Comp Engn Louisville KY 40292 USA Univ Social Sci Inst Informat Technol PL-90113 Lodz Poland Univ Louisville Dept Comp Sci Louisville KY 40292 USA
We demonstrate a new deep learning autoencoder network, trained by a nonnegativity constraint algorithm (nonnegativity-constrained autoencoder), that learns features that show part-based representation of data. The le... 详细信息
来源: 评论
Learning robust uniform features for cross-media social data by using cross autoencoders
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KNOWLEDGE-BASED SYSTEMS 2016年 102卷 64-75页
作者: Guo, Quan Jia, Jia Shen, Guangyao Zhang, Lei Cai, Lianhong Yi, Zhang Sichuan Univ Coll Comp Sci Chengdu 610065 Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China
Cross-media analysis exploits social data with different modalities from multiple sources simultaneously and synergistically to discover knowledge and better understand the world. There are two levels of cross media s... 详细信息
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