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检索条件"主题词=autoencoder"
4251 条 记 录,以下是3931-3940 订阅
排序:
GRASS: Generative Recursive autoencoders for Shape Structures
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ACM TRANSACTIONS ON GRAPHICS 2017年 第4期36卷 1-14页
作者: Li, Jun Xu, Kai Chaudhuri, Siddhartha Yumer, Ersin Zhang, Hao Guibas, Leonidas Natl Univ Def Technol Changsha Hunan Peoples R China Shenzhen Univ Shenzhen Peoples R China Shandong Univ Jinan Shandong Peoples R China Indian Inst Technol Bombay Maharashtra India Adobe Res San Jose CA USA Simon Fraser Univ Burnaby BC Canada Stanford Univ Stanford CA 94305 USA
We introduce a novel neural network architecture for encoding and synthesis of 3D shapes, particularly their structures. Our key insight is that 3D shapes are effectively characterized by their hierarchical organizati... 详细信息
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DeepAM: a heterogeneous deep learning framework for intelligent malware detection
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KNOWLEDGE AND INFORMATION SYSTEMS 2018年 第2期54卷 265-285页
作者: Ye, Yanfang Chen, Lingwei Hou, Shifu Hardy, William Li, Xin West Virginia Univ Dept Comp Sci & Elect Engn Morgantown WV 26506 USA
With computers and the Internet being essential in everyday life, malware poses serious and evolving threats to their security, making the detection of malware of utmost concern. Accordingly, there have been many rese... 详细信息
来源: 评论
On the importance of hidden bias and hidden entropy in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines
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NEURAL NETWORKS 2018年 105卷 405-418页
作者: Isabekov, Altynbek Erzin, Engin Koc Univ Coll Engn Rumelifeneri Yolu TR-34450 Istanbul Turkey
In this paper, we analyze the role of hidden bias in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines (GBPRBMs), which are similar to the widely used Gaussian-Bernoulli RBMs. Our exper... 详细信息
来源: 评论
Through Wall Human Detection Under Small Samples Based on Deep Learning Algorithm
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IEEE ACCESS 2018年 6卷 65837-65844页
作者: Li, Yuliang Wang, Wei Jiang, Yu Tianjin Normal Univ Coll Elect & Commun Engn Tianjin 300387 Peoples R China
Through-wall human detection has vital and widely used applications for anti-terrorism, anti-explosion, and post-disaster relief. The through-wall human-target recognition using ultra-wideband radar-based technology w... 详细信息
来源: 评论
Using Denoising autoencoder for Emotion Recognition
Using Denoising Autoencoder for Emotion Recognition
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14th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2013)
作者: Xia, Rui Liu, Yang Univ Texas Dallas Dept Comp Sci Richardson TX 75080 USA
In this paper, we propose to use the denoising autoencoder to generate robust feature representations for emotion recognition. In our method, the input of the denoising autoencoder is the normalized static feature set... 详细信息
来源: 评论
Learning Low-Dimensional Representation of Bivariate Histogram Data
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2018年 第11期19卷 3723-3735页
作者: Vaiciukynas, Evaldas Ulicny, Matej Pashami, Sepideh Nowaczyk, Slawomir Kaunas Univ Technol Dept Informat Syst LT-51368 Kaunas Lithuania Halmstad Univ Ctr Appl Intelligent Syst Res S-30118 Halmstad Sweden
With an increasing amount of data in intelligent transportation s)stems, methods are needed to automatically extract general representations that accurately predict not only known tasks but also similar tasks that can... 详细信息
来源: 评论
STRUCTURENET: Hierarchical Graph Networks for 3D Shape Generation
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ACM TRANSACTIONS ON GRAPHICS 2019年 第6期38卷 242-242页
作者: Mo, Kaichun Guerrero, Paul Yi, Li Su, Hao Wonka, Peter Mitra, Niloy Guibas, Leonidas J. Stanford Univ Stanford CA 94305 USA UCL London England Univ Calif San Diego La Jolla CA 92093 USA KAUST Thuwal Saudi Arabia Adobe Res San Jose CA USA Facebook AI Res Menlo Pk CA USA
The ability to generate novel, diverse, and realistic 3D shapes along with associated part semantics and structure is central to many applications requiring high-quality 3D assets or large volumes of realistic trainin... 详细信息
来源: 评论
Off-the-shelf CNN features for 3D object retrieval
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MULTIMEDIA TOOLS AND APPLICATIONS 2018年 第15期77卷 19833-19849页
作者: Wang, Dong Wang, Bin Zhao, Sicheng Yao, Hongxun Liu, Hong Harbin Inst Technol Harbin Heilongjiang Peoples R China Harbin Inst Technol Dept Robot Res Inst Harbin Heilongjiang Peoples R China Harbin Inst Technol Sch Comp Sci & Technol Harbin Heilongjiang Peoples R China Harbin Inst Technol State Key Lab Robot & Syst Harbin Heilongjiang Peoples R China
Effective feature representation is crucial to view-based 3D object retrieval (V3OR). Most previous works employed hand-crafted features to represent the views of each object. Although deep learning based methods has ... 详细信息
来源: 评论
Shelf Commodity Identification Method Based on Hybrid Fully Convolutional Automatic Encoder
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IEEE ACCESS 2019年 7卷 169899-169907页
作者: Cheng, Aofeng Chen, Guodong Wang, Zheng Soochow Univ Sch Mech & Elect Engn Jiangsu Prov Key Lab Adv Robot Suzhou 215123 Peoples R China Shanghai Jiao Tong Univ Affiliated Peoples Hosp 6 Shanghai 200233 Peoples R China
At present, the semantic information segmentation algorithms mainly include FCN (Fully Convolutional Network), PSPNet (Pyramid Scene Parsing Network), Deeplab and so on. In view of the inadequate results of features e... 详细信息
来源: 评论
Machine learning entanglement freedom
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INTERNATIONAL JOURNAL OF QUANTUM INFORMATION 2018年 第8期16卷
作者: Spillard, Samuel Turner, Christopher J. Meichanetzidis, Konstantinos Univ Leeds Sch Phys & Astron Leeds LS2 9JT W Yorkshire England
Quantum many-body systems realize many different phases of matter characterized by their exotic emergent phenomena. While some simple versions of these properties can occur in systems of free fermions, their occurrenc... 详细信息
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