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检索条件"主题词=Deep Autoencoder"
237 条 记 录,以下是191-200 订阅
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autoencoder-based Safe Reinforcement Learning for Power Augmentation in a Lower-limb Exoskeleton  9
AutoEncoder-based Safe Reinforcement Learning for Power Augm...
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9th RSI International Conference on Robotics and Mechatronics (ICRoM)
作者: Abbasi, Mohammadreza Vossoughi, Gholamreza Karami, Mohammad Koushki, Amirreza Sharif Univ Technol Dept Mech Engn Tehran Iran
Power augmentation in wearable robots has recently attracted the attention of researchers in industry and academia. Human-robot synchronized control is one of the most substantial goals that needs to be achieved. The ... 详细信息
来源: 评论
deep Learning Prediction of Chlorophyll Content in Tomato Leaves  9
Deep Learning Prediction of Chlorophyll Content in Tomato Le...
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9th RSI International Conference on Robotics and Mechatronics (ICRoM)
作者: Khoshrou, Mohsen Imanzadeh Zarafshan, Payam Dehghani, Mohammad Chegini, Gholamreza Arabhosseini, Akbar Zakeri, Behzad Univ Tehran Dept Agrotechnol Coll Aburaihan Tehran Iran Univ Tehran Dept Food Technol Coll Aburaihan Tehran Iran
Precision agriculture has improved crops production around the world. Non-destructive evaluation of chlorophyll contents of plant leaves can be a useful solution, in the field of precision farming. In order to take th... 详细信息
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Machine Learning Approximation for Rapid Prediction of High-Dimensional Storm Surge and Wave Responses
Machine Learning Approximation for Rapid Prediction of High-...
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Annual Conference of the Canadian-Society-of-Civil-Engineering (CSCE)
作者: Naeini, Saeed Saviz Snaiki, Reda Univ Quebec Ecole Technol Super Quebec City PQ Canada
Storm surge and waves are responsible for a substantial portion of the tropical and extratropical cyclones-induced damage in coastal areas of the USA and Canada. High-fidelity, numerical models can provide accurate si... 详细信息
来源: 评论
U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration  9th
U-FLEX: Unsupervised Feature Learning with Evolutionary eXpl...
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9th Annual Conference on Machine Learning, Optimization and Data science (LOD)
作者: Bellarmino, Nicolo' Cantoro, Riccardo Squillero, Giovanni Politecn Torino CAD Res Grp Corso Duca Abruzzi 24 I-10129 Turin Italy
Feature selection is an essential task in machine learning and data mining that involves identifying a subset of relevant features from a larger set. This paper proposes a novel technique for unsupervised feature sele... 详细信息
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deep Learning for Secure Transmission in Wireless Communication Networks
Deep Learning for Secure Transmission in Wireless Communicat...
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IEEE International Conference on Communications (ICC)
作者: Olowononi, Felix O. Rawat, Danda B. Kamhoua, Charles A. Howard Univ Dept Elect Engn & Comp Sci Washington DC 20059 USA US Army Res Lab Adelphi MD USA
Advancements in information and communication technologies have contributed significantly to the optimization of next generation wireless communications networks. Moreover, wireless communications play a huge role in ... 详细信息
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Sound Signal Invariant DAE Neural Network-Based Quantizer Architecture of Audio/Speech Coder Using the Matching Pursuit Algorithm  15th
Sound Signal Invariant DAE Neural Network-Based Quantizer Ar...
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15th International Symposium on Neural Networks (ISNN)
作者: Avramov, Vladislav Herasimovich, Vadzim Petrovsky, Alexander Belarusian State Univ Informat & Radioelect Minsk BELARUS
The paper is devoted to the quantization algorithm development based on the neural networks framework. This research is considered in the context of the scalable real-time audio/speech coder based on the perceptually ... 详细信息
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Outlier Resistant Unsupervised deep Architectures for Attributed Network Embedding  20
Outlier Resistant Unsupervised Deep Architectures for Attrib...
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13th Annual ACM International Conference on Web Search and Data Mining (WSDM)
作者: Bandyopadhyay, Sambaran Lokesh, N. Vivek, Saley Vishal Murty, M. N. IBM Res Bangalore Karnataka India Indian Inst Sci Bangalore Karnataka India
Attributed network embedding is the task to learn a lower dimensional vector representation of the nodes of an attributed network, which can be used further for downstream network mining tasks. Nodes in a network exhi... 详细信息
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deep Multi-view Subspace Clustering Network with Exclusive Constraint  40
Deep Multi-view Subspace Clustering Network with Exclusive C...
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40th Chinese Control Conference (CCC)
作者: Ma Rui Zhou Zhiping Jiangnan Univ Sch Internet Things Engn Wuxi 214122 Jiangsu Peoples R China Jiangnan Univ Engn Res Ctr Internet Things Technol Applicat Min Wuxi 214122 Jiangsu Peoples R China
Multi-view subspace clustering aims to find the inherent structure of data as much as possible by fusing complementary information of multiple views to achieve better clustering results. However, most of the tradition... 详细信息
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DIGITAL DATA FORGETTING: A Machine Learning Approach  2
DIGITAL DATA FORGETTING: A Machine Learning Approach
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2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
作者: Gunay, Melike Yildiz, Eyyup Nalcakan, Yagiz Asiroglu, Batuhan Zencirli, Ahmet Mete, Busra Rumeysa Ensari, Tolga Istanbul Kultur Univ Comp Engn Istanbul Turkey Erzincan Binali Yildirim Univ Comp Engn Erzincan Turkey Altinbas Univ Comp Engn Istanbul Turkey Istanbul Univ Cerrahpasa Comp Engn Istanbul Turkey
Digital transformation of the world goes very fast during last two decades. Today, data is power and very important. Firstly, magnetic tapes and then digital data storages have been used to collect all data. After thi... 详细信息
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Accelerating Robot Reinforcement Learning with Accumulation of Knowledge
Accelerating Robot Reinforcement Learning with Accumulation ...
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30th International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)
作者: Loncarevic, Zvezdan Gams, Andrej Jozef Stefan Inst Jamova Cesta 39 Ljubljana 1000 Slovenia Jozef Stefan Int Postgrad Sch Jamova Cesta 39 Ljubljana 1000 Slovenia
Reinforcement Learning (RL) can be applied in robotics to refine robot skills, but it may take several tens or even hundreds of attempts, which are typically just forgotten. In this paper, we show how all learning att... 详细信息
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