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检索条件"主题词=Variational autoencoder"
1554 条 记 录,以下是1501-1510 订阅
Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models
Knowledge Extraction from XCSR Based on Dimensionality Reduc...
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IEEE Congress on Evolutionary Computation (IEEE CEC)
作者: Tadokoro, Masakazu Hasegawa, Satoshi Tatsumi, Takato Sato, Hiroyuki Takadama, Keiki Univ Electrocommun Tokyo Japan
This paper proposes a novel learning classifier system (LCS) framework named ELSDeCS (Encoding, Learning, Sampling, and Decoding Classifier System) which can employ any dimensionality reduction method as pre-processin... 详细信息
来源: 评论
Automatic Fault Detection for Marine Diesel Engine Degradation in Autonomous Ferry Crossing Operation  16
Automatic Fault Detection for Marine Diesel Engine Degradati...
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16th IEEE International Conference on Mechatronics and Automation (IEEE ICMA)
作者: Ellefsen, Andre Listou Cheng, Xu Holmeset, Finn Tore Aesoy, Vilmar Zhang, Houxiang Ushakov, Sergey Norwegian Univ Sci & Technol Dept Ocean Operat & Civil Engn Mechatron Lab N-6009 Alesund Norway Norwegian Univ Sci & Technol Dept Marine Technol N-7491 Trondheim Norway
The maritime industry generally anticipates having semi-autonomous ferries in commercial use on the west coast of Norway by the end of this decade. In order to schedule maintenance operations of critical components in... 详细信息
来源: 评论
A Joint Generative Model for Zero-Shot Learning  15th
A Joint Generative Model for Zero-Shot Learning
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15th European Conference on Computer Vision (ECCV)
作者: Gao, Rui Hou, Xingsong Qin, Jie Liu, Li Zhu, Fan Zhang, Zhao Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian Peoples R China Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland Incept Inst Artificial Intelligence Abu Dhabi U Arab Emirates Soochow Univ Suzhou Peoples R China Guangdong Xian Jiaotong Univ Acad Foshan Guangdong Peoples R China
Zero-shot learning (ZSL) is a challenging task due to the lack of data from unseen classes during training. Existing methods tend to have the strong bias towards seen classes, which is also known as the domain shift p... 详细信息
来源: 评论
Self Attention in variational Sequential Learning for Summarization  20
Self Attention in Variational Sequential Learning for Summar...
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Interspeech Conference
作者: Chien, Jen-Tzung Wang, Chun-Wei Natl Chiao Tung Univ Dept Elect & Comp Engn Hsinchu Taiwan
Attention mechanism plays a crucial role in sequential learning for many speech and language applications. However, it is challenging to develop a stochastic attention in a sequence-to-sequence model which consists of... 详细信息
来源: 评论
Visual Perception for Autonomous Driving inspired by Convergence-Divergence Zones  11
Visual Perception for Autonomous Driving inspired by Converg...
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11th International Symposium on Image and Signal Processing and Analysis (ISPA)
作者: Plebe, Alice Da Lio, Mauro Univ Trento Dept Informat Engn & Comp Sci Trento Italy Univ Trento Dept Ind Engn Trento Italy
Visual perception is, by large, the main source of information used by humans when driving. Therefore, it is natural and appropriate to rely heavily on vision analysis for autonomous driving, as done in most projects.... 详细信息
来源: 评论
A Sensorimotor Basis Of Speech Communication
A Sensorimotor Basis Of Speech Communication
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作者: Jacob Bryan University of Illinois – Urbana-Champaign
学位级别:博士
This dissertation presents the development of sensorimotor primitives as a means of constructing a language-agnostic model of speech communication. Insights from major theories in speech science and linguistics are us... 详细信息
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Adversarial Deep Neural Networks Effectively Remove Nonlinear Batch Effects from Gene-Expression Data
Adversarial Deep Neural Networks Effectively Remove Nonlinea...
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作者: Dayton, Jonathan Bryan Brigham Young University
学位级别:M.Sc., Master of Science
Gene-expression profiling enables researchers to quantify transcription levels in cells, thus providing insight into functional mechanisms of diseases and other biological processes. However, because of the high dimen... 详细信息
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Learning Affordance Representations: An Efficient Learning Approach for End-to-End Visuomotor Control
Learning Affordance Representations: An Efficient Learning A...
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作者: Hämäläinen, Aleksi Aalto University
学位级别:硕士
The development of data-driven approaches, such as deep learning, has led to the emergence of systems that have achieved human-like performance in wide variety of tasks. For robotic tasks, deep data-driven models are ... 详细信息
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Language/Dialect Recognition Based on Unsupervised Deep Learning
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IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2018年 第5期26卷 873-882页
作者: Zhang, Qian Hansen, John H. L. Univ Texas Dallas Erik Jonsson Sch Engn Ctr Robust Speech Syst Richardson TX 75080 USA
Over the past decade, bottleneck features within an i-Vector framework have been used for state-of-the-art language/dialect identification (LID/DID). However, traditional bottleneck feature extraction requires additio... 详细信息
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Online training of deep neural networks for classification
Online training of deep neural networks for classification
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作者: Tumpach, Jiří Charles University of Prague
Deep learning is usually applied to static datasets. If used for classification based on data streams, it is not easy to take into account a non-stationarity. This thesis presents work in progress on a new method for ... 详细信息
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