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检索条件"主题词=Autoencoder"
4216 条 记 录,以下是4171-4180 订阅
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A.I. in Laser Diode Module Manufacturing
A.I. in Laser Diode Module Manufacturing
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IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)
作者: Sanguan Anantathanasarn Thotsaporn Srisaard Jakkapat Wattanarat Nuttawut Budsayaplakorn Furukawa FITEL (Thailand) Co. Ltd. Phranakorn Sri Ayutthaya Thailand
This paper describes application of Artificial Intelligence using machine learning and deep learning at our laser diode module manufacturing facility. Implementing A.I. into data analysis and classification problems, ... 详细信息
来源: 评论
AUTO-ASSOCIATIVE NEURAL NETWORK SYSTEM FOR RECOGNITION
AUTO-ASSOCIATIVE NEURAL NETWORK SYSTEM FOR RECOGNITION
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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
作者: XIAN-HUA ZENG SI-WEI LUO JIAO WANG School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China Sc School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China
Recently, a nonlinear dimension reduction technique, called autoencoder, had been *** can efficiently carry out mappings in both directions between the original data and low-dimensional code ***, a single autoencoder ... 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
作者: Yu-Hsuan Wang Hung-yi Lee Lin-shan Lee College of Electrical Engineering and Computer Science National Taiwan University
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
Structured dropout for weak label and multi-instance learning and its application to score-informed source separation
Structured dropout for weak label and multi-instance learnin...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Sebastian Ewert Mark B. Sandler Queen Mary University of London UK
Many success stories involving deep neural networks are instances of supervised learning, where available labels power gradient-based learning methods. Creating such labels, however, can be expensive and thus there is... 详细信息
来源: 评论
A Novel Method Based on Data Visual Autoencoding for Time-Series Classification
A Novel Method Based on Data Visual Autoencoding for Time-Se...
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2015年中国智能自动化学术会议
作者: Chen Qian Yan Wang Lei Guo School of Automation Science and Electrical Engineering Beihang University
A variety of techniques based on numerical characteristics are currently presented for mining time-series data. However, we find that time-series data generally contain curves sharing some set of visual characteristic... 详细信息
来源: 评论
基于内容的半监督图像检索
基于内容的半监督图像检索
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作者: 黄充 北京邮电大学
学位级别:硕士
随着科技的发展和人民日常需求的提高,图像检索已经成为人们生活中不可缺少的一部分。目前大多数的搜索引擎(Bing, Google, Baidu等)对图像的检索都是基于文本检索,由于这些文本信息不能全面地描述图像内容,导致图像内容与相关文字信息... 详细信息
来源: 评论
A multimodal skill learning method for improving mobile phone assembly accuracy  22
A multimodal skill learning method for improving mobile phon...
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Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence
作者: Zhenping Huang Jinlong Chen Minghao Yang Guilin University of Electronic Technology China Brain-Inspired Intelligence Research Center Institute of Automation Chinese Academy of Sciences China
At present, the smart assembly of mobile phones is a challenging task. The assembly process will be affected by console vibration, illumination changes, and end self-occlusion, and it is difficult to locate directly t... 详细信息
来源: 评论
Deep learning enables accurate alignment of single cell RNA-seq data
Deep learning enables accurate alignment of single cell RNA-...
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IEEE International Conference on Bioinformatics and Biomedicine
作者: Yuanke Zhong Jing Li Jie Liu Yan Zheng Xuequn Shang Jialu Hu School of Computer Science Northwestern Polytechnical University Mingde College Northwestern Polytechnical University
As more and more single-cell RNA-seq (scRNA-seq) datasets become available, carrying out compare between them is key. However, this task is challengeable due to differences caused by different experiment. We proposed ... 详细信息
来源: 评论
HEP-2 CELL CLASSIFICATION BASED ON A DEEP AUTOENCODING-CLASSIFICATION CONVOLUTIONAL NEURAL NETWORK
HEP-2 CELL CLASSIFICATION BASED ON A DEEP AUTOENCODING-CLASS...
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International Symposium on Biomedical Imaging
作者: Jingxin Liu Bolei Xu Linlin Shen Jon Garibaldi Guoping Qiu The Universiy of Nottingham Ningbo China Shenzhen University The Universiy of Nottingham
In this paper, we present a novel deep learning model termed Deep Autoencoding-Classification Network (DACN) for HEp-2 cell classification. The DACN consists of an au-toencoder and a normal classification convolutiona... 详细信息
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AEBoost:一种用于抗癌药物敏感性预测的方法
AEBoost:一种用于抗癌药物敏感性预测的方法
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作者: 余哲 上海师范大学
学位级别:硕士
基因学的发展为人们提供了一个全新的角度去理解癌症与癌症药物,同时也使得针对不同病人采取不同的癌症治疗方式成为可能,个性化医疗因此也引起研究者们的广泛关注。抗癌药物敏感性预测便是个性化医疗的一个主要挑战,而高通量技术的发... 详细信息
来源: 评论