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检索条件"主题词=autoencoder"
4251 条 记 录,以下是4001-4010 订阅
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Automatic Encoder Combined with Nasnet in Histopathologic Cancer Detection
Automatic Encoder Combined with Nasnet in Histopathologic Ca...
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IEEE International Conference on Computer and Communications
作者: Lu Liu Xianzhong Liu Schoo of Sofwre Engineering Es Chin Nor UniversiySchoo of Sofwre Engineering Es Chin Nor Universiy Sofwre/Hrdwre Co-design Engineering Reserch Cener MoE
Computer vision is a major branch of artificial intelligence algorithm. The algorithm of computer vision mainly consists of the processing of image and video, including image recognition and image detection etc. Pract... 详细信息
来源: 评论
DEEP LEARNING CROP CLASSIFICATION APPROACH BASED ON SPARSE CODING OF TIME SERIES OF SATELLITE DATA  38
DEEP LEARNING CROP CLASSIFICATION APPROACH BASED ON SPARSE C...
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38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Lavreniuk, Mykola Kussul, Nataliia Novikov, Alexei SSAU NASU Space Res Inst Kiev Ukraine Natl Tech Univ Ukraine Igor Sikorsky Kiev Polytech Inst Kiev Ukraine
Crop classification maps based on high resolution remote sensing data are essential for supporting sustainable land management. The most challenging problems for their producing are collecting of ground based training... 详细信息
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Deep Learning Based Reliable and Intelligent Chaotic OFDM Communications for Cognitive Radio System  10
Deep Learning Based Reliable and Intelligent Chaotic OFDM Co...
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10th International Conference on Wireless Communications and Signal Processing (WCSP)
作者: Lin, Xintong Zhang, Lin Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou 510006 Guangdong Peoples R China
In this paper, we present a deep learning based modulation scheme for chaotic orthogonal frequency division multiplex (OFDM) transmissions over non-contiguous frequency bands of cognitive radio systems. In cognitive r... 详细信息
来源: 评论
Deep Learning Crop Classification Approach Based on Coding Input Satellite Data Into the Unified Hyperspace  38
Deep Learning Crop Classification Approach Based on Coding I...
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IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)
作者: Lavreniuk, Mykola Kussul, Nataliia Novikov, Alexei Natl Tech Univ Ukraine Dept Space Informat Technol & Syst Space Res Inst NASU SSAU Dept Informat SecurIgor Sikorsky Kyiv Polytech I Kiev Ukraine Natl Tech Univ Ukraine Dept Informat Secur Igor Sikorsky Kyiv Polytech Inst Kiev Ukraine
To provide reliable crop maps for the same territory each year, it is necessary to collect in-situ data for each year independently. Collecting ground truth data is a very time consuming and challenging task. At prese... 详细信息
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Anomaly Detection in Manufacturing Systems Using Structured Neural Networks  13
Anomaly Detection in Manufacturing Systems Using Structured ...
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13th World Congress on Intelligent Control and Automation (WCICA)
作者: Liu, Jie Guo, Jianlin Orlik, Philip Shibata, Masahiko Nakahara, Daiki Mii, Satoshi Takac, Martin Lehigh Univ Dept Ind & Syst Engn Bethlehem PA 18015 USA MERL Cambridge MA 02139 USA Mitsubishi Electr Corp IT R&D Ctr Kamakura Kanagawa 2478501 Japan
This paper proposes innovative anomaly detection technologies for manufacturing systems. We combine the event ordering relationship based structuring technique and the deep neural networks to develop the structured ne... 详细信息
来源: 评论
Clustering of Astronomical Transient Candidates Using Deep Variational Embedding
Clustering of Astronomical Transient Candidates Using Deep V...
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International Joint Conference on Neural Networks (IJCNN)
作者: Astorga, Nicolas Huijse, Pablo Estevez, Pablo A. Foerster, Francisco Univ Chile Dept Elect Engn Santiago Chile Millennium Inst Astrophys Santiago Chile Univ Chile Ctr Math Modeling Santiago Chile
The exponential growth of the data collected by telescopes have turned astronomy into a data-drive science. The detection of astronomical transient events, short-lived and bright phenomena such as the Supernovae, is c... 详细信息
来源: 评论
GENERALIZATION OF PROSTATE CANCER CLASSIFICATION FOR MULTIPLE SITES USING DEEP LEARNING  15
GENERALIZATION OF PROSTATE CANCER CLASSIFICATION FOR MULTIPL...
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15th IEEE International Symposium on Biomedical Imaging (ISBI)
作者: Arvidsson, Ida Overgaard, Niels Christian Marginean, Felicia-Elena Krzyzanowska, Agnieszka Bjartell, Anders Astrom, Kalle Heyden, Anders Lund Univ Ctr Math Sci Lund Sweden Lund Univ Dept Translat Med Lund Sweden
Deep learning has the potential to drastically increase the accuracy and efficiency of prostate cancer diagnosis, which would be of uttermost use. Today the diagnosis is determined manually from H&E stained specim... 详细信息
来源: 评论
Deep Learning Based Unsupervised POS Tagging for Sanskrit  18
Deep Learning Based Unsupervised POS Tagging for Sanskrit
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International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)
作者: Srivastava, Prakhar Chauhan, Kushal Aggarwal, Deepanshu Shukla, Anupam Dhar, Joydip Jain, Vrashabh Prasad ABV Indian Inst Informat Technol & Management Gwalior Madhya Pradesh India Indian Inst Informat Technol Pune Maharashtra India Mahatma Gandhi Antarrashtriya Hindi Vishwavidyala Wardha Maharashtra India
In this paper, we present a deep learning based approach to assign POS tags to words in a piece of text given to it as input. We propose an unsupervised approach owing to the lack of a large Sanskrit annotated corpora... 详细信息
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Using Long Short Term Memory (LSTM) For Radar Cross Section Prediction  3
Using Long Short Term Memory (LSTM) For Radar Cross Section ...
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IEEE 3rd International Conference on Signal and Image Processing (ICSIP)
作者: Zheng, Xingquan Wang, Jiping Peng, Zhiang Wang, Kaizhi Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Peoples R China
Radar Cross Section (RCS) is a measurement of scattering performance of an object. RCS plays an important role in the design of stealth weapon system. However, the method of calculating RCS of every angle of azimuth a... 详细信息
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Autoeconder-Based Excessive Information Generation for Improving and Interpreting Multi-Layered Neural Networks  7
Autoeconder-Based Excessive Information Generation for Impro...
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7th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)
作者: Kamimura, Ryotaro Takeuchi, Haruhiko Tokai Univ IT Educ Ctr Hiratsuka Kanagawa Japan Natl Inst Adv Ind Sci & Technol Human Informat Res Inst Tokyo Japan
The present paper aims to propose a new type of learning method to increase information content in input patterns with multiple steps to be used in supervised learning. Unsupervised pre-training to train multi-layered... 详细信息
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