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检索条件"机构=The Science and Technology on Parallel and Distributed Processing Laboratory"
1123 条 记 录,以下是341-350 订阅
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A GPU-based parallel WFST decoder on nnet3
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AIP Conference Proceedings 2019年 第1期2073卷
作者: Yong Wang Jie Liu Chen Zhou Zhengbin Pang Shengguo Li Chunye Gong Xinbiao Gan Yurong Li 1Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha 410073 China
One performance-intensive part of automatic speech recognition is the weighted finite-state transducer (WFST) decoding. To solve the problem, we expand parallel Graphics processing Units (GPU) computing to the decodin...
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RZKPB: A Privacy-Preserving Blockchain-Based Fair Transaction Method for Sharing Economy
RZKPB: A Privacy-Preserving Blockchain-Based Fair Transactio...
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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
作者: Bin Li Yijie Wang Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Hunan Changsha P.R. China
Emerging blockchain systems have been widely adopted in sharing economy, such as e-commerce, to allow mutually distrustful parties to transact fairly without trusted parties. Most blockchain systems, however, lack tra... 详细信息
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Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Diagonalwise Refactorization: An Efficient Training Method f...
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International Joint Conference on Neural Networks
作者: Zheng Qin Zhaoning Zhang Dongsheng Li Yiming Zhang Yuxing Peng Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China
Depthwise convolutions provide significant performance benefits owing to the reduction in both parameters and mult-adds. However, training depthwise convolution layers with GPUs is slow in current deep learning framew... 详细信息
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FPPB: A Fast and Privacy-Preserving Method Based on the Permissioned Blockchain for Fair Transactions in Sharing Economy
FPPB: A Fast and Privacy-Preserving Method Based on the Perm...
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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
作者: Bin Li Yijie Wang Peichang Shi Huan Chen Li Cheng Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha Hunan P.R. China
Blockchain is a distributed system with efficient transaction recording and has been widely adopted in sharing economy. Although many existing privacy-preserving methods on the blockchain have been proposed, finding a... 详细信息
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Diagonalwise refactorization: An efficient training method for depthwise convolutions
arXiv
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arXiv 2018年
作者: Qin, Zheng Zhang, Zhaoning Li, Dongsheng Zhang, Yiming Peng, Yuxing Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China
Depthwise convolutions provide significant performance benefits owing to the reduction in both parameters and mult-adds. However, training depthwise convolution layers with GPUs is slow in current deep learning framew... 详细信息
来源: 评论
TEMPORAL PYRAMID RELATION NETWORK FOR VIDEO-BASED GESTURE RECOGNITION
TEMPORAL PYRAMID RELATION NETWORK FOR VIDEO-BASED GESTURE RE...
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IEEE International Conference on Image processing
作者: Ke Yang Rongchun Li Peng Qiao Qiang Wang Dongsheng Li Yong Dou National Laboratory for Parallel and Distributed Processing College of Computer National University of Defense Technology Changsha China
Gesture recognition in video is an important application of computer vision. However, there are few works talked about the temporal order or relation of the frames in video, which is important for model gestures. In t... 详细信息
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Merging and evolution: Improving convolutional neural networks for mobile applications
arXiv
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arXiv 2018年
作者: Qin, Zheng Zhang, Zhaoning Zhang, Shiqing Yu, Hao Peng, Yuxing Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China
Compact neural networks are inclined to exploit "sparsely-connected" convolutions such as depthwise convolution and group convolution for employment in mobile applications. Compared with standard "fully... 详细信息
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FD-Mobilenet: Improved mobilenet with a fast downsampling strategy
arXiv
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arXiv 2018年
作者: Qin, Zheng Zhang, Zhaoning Chen, Xiaotao Peng, Yuxing Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China
We present Fast-Downsampling MobileNet (FD-MobileNet), an efficient and accurate network for very limited computational budgets (e.g., 10-140 MFLOPs). Our key idea is applying a fast downsampling strategy to MobileNet... 详细信息
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Multi-Owner Keyword Search over Shared Data without Secure Channels in the Cloud
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China Communications 2017年 第5期14卷 124-133页
作者: Yilun Wu Xicheng Lu Jinshu Su Peixin Chen Xiaofeng Wang Bofeng Zhang College of Computer National University of Defense TechnologyChangsha 410073China National Laboratory for Parallel and Distributed Processing National University of Defense TechnologyCbangsba 410073China
Searchable encryption allows cloud users to outsource the massive encrypted data to the remote cloud and to search over the data without revealing the sensitive information. Many schemes have been proposed to support ... 详细信息
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Deep Learning-based Cooperative Trail Following for Multi-Robot System
Deep Learning-based Cooperative Trail Following for Multi-Ro...
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International Joint Conference on Neural Networks
作者: Mingyang Geng Yiying Li Bo Ding Huaimin Wang National Key Laboratory of Parallel and Distributed Processing College of Computer National University of Defense Technology ChangSha China
Following trails in the wild is an essential capability of out-door autonomous mobile robots. Recently, deep learning-based approaches have made great advancements in this field. However, the existing research only fo... 详细信息
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