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检索条件"主题词=Sparse Auto-encoder"
79 条 记 录,以下是71-80 订阅
排序:
An Offline Text-independent Writer Identification System with SAE Feature Extraction  4
An Offline Text-independent Writer Identification System wit...
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4th IEEE International Conference on Progress in Informatics and Computing (IEEE PIC)
作者: Zhu, Yu Wang, Yining East China Univ Sci & Technol Sch Informat Sci & Engn Shanghai Peoples R China
This paper presents an offline text-independent writer identification system in a multi-language environment using sparse auto-encoder (SAE) based codebook (SAEC) and non-text-segmentation feature extraction methods. ... 详细信息
来源: 评论
Subset based deep learning for RGB-D object recognition
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NEUROCOMPUTING 2015年 165卷 280-292页
作者: Bai, Jing Wu, Yan Zhang, Junming Chen, Fuqiang Tongji Univ Coll Elect & Informat Engn Shanghai 201804 Peoples R China
RGB-D camera can easily record both color and depth images and previous works have proved that combining them together could dramatically improve the RGB-D based object recognition accuracy. In this paper, a new metho... 详细信息
来源: 评论
An Offline Text-independent Writer Identification System with SAE Feature Extraction
An Offline Text-independent Writer Identification System wit...
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2016 IEEE International Conference on Progress in Informatics and Computing
作者: Yu Zhu Yining Wang School of Information Science and Engineering East China University of Science and Technology
This paper presents an offline text-independent writer identification system in a multi-language environment using sparse auto-encoder(SAE) based codebook(SAEC) and non-text-segmentation feature extraction methods. Th... 详细信息
来源: 评论
Knowledge discovery in databases based on deep neural networks  10
Knowledge discovery in databases based on deep neural networ...
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10th IEEE Conference on Industrial Electronics and Applications
作者: Tan, Yuanhua Zhang, Chaolin Ma, Yonglin Mao, Yici Karamay Hongyou Software Co Xinjiang 834000 Peoples R China Applicat Management Off SINOPEC IT Management Dept Beijing 100728 Peoples R China Karamay Municipal Peoples Govt Bur Informat Ind Xinjiang 834000 Peoples R China
Knowledge discovery in databases (KDD) has received great progress in recent years for the need of mining useful knowledge in the ever growing information. The advances in machine learning technologies effectively pro... 详细信息
来源: 评论
Knowledge discovery in databases based on deep neural networks
Knowledge discovery in databases based on deep neural networ...
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IEEE Conference on Industrial Electronics and Applications
作者: Yuanhua Tan Chaolin Zhang Yonglin Ma Yici Mao Karamay Hongyou Software Co. Karamay China
Knowledge discovery in databases (KDD) has received great progress in recent years for the need of mining useful knowledge in the ever growing information. The advances in machine learning technologies effectively pro... 详细信息
来源: 评论
SAR Target Recognition Based on Deep Learning
SAR Target Recognition Based on Deep Learning
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IEEE International Conference on Data Science & Advanced Analytics
作者: Chen, Sizhe Wang, Haipeng Fudan Univ Key Lab Informat Sci Electromagnet Waves MoE Shanghai Peoples R China
Deep learning algorithms such as convolutional neural networks (CNN) have been successfully applied in computer vision. This paper attempts to adapt the optical camera-oriented CNN to its microwave counterpart, i.e. s... 详细信息
来源: 评论
Cross-language Speech Attribute Detection and Phone Recognition for Tibetan Using Deep Learning  9
Cross-language Speech Attribute Detection and Phone Recognit...
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9th International Symposium on Chinese Spoken Language Processing (ISCSLP)
作者: Wang, Hui Zhao, Yue Xu, Yanmin Xu, Xiaona Suo, Xingmei Ji, Qiang Minzu Univ China Dept Automat Beijing Peoples R China Rensselaer Polytech Inst Troy NY 12180 USA
Articulatory features (AFs) are viewed as the universal speech attributes for cross-language speech recognition. They are usually detected using a bank of multi-layer perceptrons (MLPs) in a supervised manner. In this... 详细信息
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Recognition of Handwritten Characters in Chinese Legal Amounts by Stacked autoencoders  22
Recognition of Handwritten Characters in Chinese Legal Amoun...
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22nd International Conference on Pattern Recognition (ICPR)
作者: Wang, Meng Chen, Youbin Wang, Xingjun Tsinghua Univ Grad Sch Shenzhen Shenzhen 518057 Peoples R China
Handwritten Characters Recognition has long been a tough problem in pattern recognition and machine learning. Some special tasks, such as automatic check preprocessing, require Handwritten Chinese Legal Amounts recogn... 详细信息
来源: 评论
SAE-RNN Deep Learning for RGB-D Based Object Recognition
SAE-RNN Deep Learning for RGB-D Based Object Recognition
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10th International Conference on Intelligent Computing (ICIC)
作者: Bai, Jing Wu, Yan Tongji Univ Coll Elect & Informat Engn Shanghai 201804 Peoples R China
RGB-D image is a multimodal data. Previous works have proved that using color and depth images together can dramatically increase the RGB-D based object recognition accuracy, but most of them either simply take all mo... 详细信息
来源: 评论