《Embedded Deep Learning》是Springer出版的圖書,作者是Bert Moons,Daniel Bankman,Marian Verhelst
基本介紹
- ISBN:9783319992228
- 作者:Bert Moons、Daniel Bankman、Marian Verhelst
- 出版社:Springer
- 出版時間:2018年11月8日
- 頁數:224
- 定價:GBP 99.99
- 裝幀:Hardcover

《Embedded Deep Learning》是Springer出版的圖書,作者是Bert Moons,Daniel Bankman,Marian Verhelst
(4) Dynamic Channel Pruning: Feature Boosting and Suppression, International Conference on Learning Representations, 2019, 第 1 作者 (5) Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks, Proceedings of 2nd International Workshop on Embedded and Mobile Deep Learning, 2018...
[1] 劉曉宇, 許馳, 于海斌, 曾鵬. Multi-agent deep reinforcement learning for end-edge orchestrated resource allocation in industrial wireless networks. Frontiers of Information Technology & Electronic Engineering[J]. 2022, [2] 孫志成, 曾鵬. 第十三講:面向工業生產過程設備管理的工業軟體研究. 儀器...
(1)End-Edge Coordinated Inference for Real-Time BYOD Malware Detection using Deep Learning 2020-05-25 (2)A New Privacy-Preserving Framework based on Edge-Fog-Cloud Continuum for Load Forecasting 2020-05-25 (3)Online Orchestration of Cooperative Defense against DDoS Attacks for 5G MEC ...
19. X. Li, S. Li, L. Huang, S. Zhang, K. Wong. High-throughput Single-cell RNA-seq Data Imputation and Characterization with Surrogate-assisted Automated Deep Learning, Briefings in Bioinformatics, 2021. (IF=13.994, Q1)### 20. Y. Cheng, Y. Su, Z. Yu, Y. Liang, K. Wong, X...
Embedded approach Model building Linear models Linear Regression Naive Bayes Logistic Regression Non-linear models Decision Trees K-Nearest Neighbors (KNN)Support vector machines (SVM)Ensemble learning and meta learners Bootstrap aggregating or bagging Boosting Model assessment, evaluation, and comparisons Mo...
主要研究方向:人工智慧(Artificial Intelligence)、機器學習(Machine Learning)、深度學習(Deep Learning)、圖像識別(Image Recognition)、圖像分割(Image Segmentation)、自然語言處理(Natural LanguageProcessing)等。工作經歷 ·2012.04– 華中科技大學計算機學院 Associate Professor ·2010.10–2012.04 華中科技大學...
8. [MobiCom-2019] Taegyeong Lee, Zhiqi Lin, Saumay Pushp, Caihua Li, Yunxin Liu, Youngki Lee, Fengyuan Xu, Chenren Xu, Lintao Zhang, and Junehwa Song, “Occlumency: Privacy-preserving Remote Deep-learning Inference Using SGX”, in Proceedings of the 25th Annual International Conference ...
5.4 Applications of Deep Learning 148 5.4.1 Automatic speech recognition 148 5.4.2 Computer vision 149 5.4.3 Natural language processing 150 Concepts 151 Terms 151 Reading 1 iFlytek: The voice of AI 153 Reading 2 Deep Learning Transforming the Retail Industry 156 Reading 3 ...
32. Chen Chen, Hongyu Xiang, Tie Qiu*, Cong Wang, Yang Zhou, Victor Chang. Rear-end collision prediction scheme based on deep learning in the Internet of Vehicles. Journal of Parallel and Distributed Computing, 2018, vol. 117, pp. 192-204. (CCF: B類)33. Chen Chen, Xiaomin Liu, Tie...
[28] Jingren Liu, Liyong Fu, Haofeng Zhang*, Qiaolin Ye, Wankou Yang, Li Liu. Learning Discriminative and Representative Feature with Cascade GAN for Generalized Zero Shot Learning. Knowledge Based Systems. 2021 [27] Zhifan Wang, Tong Xin, Shidong Wang, Haofeng Zhang*. Depth-embedded ...
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, and Jun Huan. DELTA: Deep Learning Transfer using Feature Map with Attention for Convolutional Neural Networks, 2019, ICLR.Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-zhong Xu, Zhishan Guo, and Jun Huan.SpHMC:...
- Keze Wang, Shengfu Zhai, Cheng Hui*, Xiaodan Liang, and Liang Lin, "Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning", Proc. of ACM International Conference on Multimedia (ACM MM), (full paper, Oral Presentation), pp. 1227-1236, Oct. 2016, Amsterdam, ...
3.Chen Song*,Wen-Hua Zhang*,Xue-Hui Wang, Jun-Yu Zhang, Xiao-Li Tian, Xiao-Ping Yin, Bing-Xing Pan. Acute stress enhances the glutamatergic transmission onto basoamygdala neurons embedded in distinct microcircuits. Molecular Brain, 2017 4.Zhi-Peng Liu, Qing-Hai He, Han-Qing Pan, Xiao-...
#), Zhao Yinliang, Zhong Xiang, Liang Zengyu, Feng Boqin. A novel thread partitioning approach based on machine learning for speculative multithreading[C], the 15th IEEE International Conference on High Performance Computing and Communications and 11th IEEE/IFIP International Conference on Embedded ...
(2) Early Sepsis Prediction Using Ensemble Learning With Deep Features and Artificial Features Extracted From Clinical Electronic Health Records, Critical Care Medicine, 2020, 通訊作者 (3) Wavelet-based real-time calculation of multiple physiological parameters on an embedded platform, Physiological ...
Embedded Devices Changing Landscape 2. Getting Started Who Is This Book Aimed At?What Hardware Do You Need?What Software Do You Need?What Do We Hope You'll Learn?3. Getting Up to Speed on Machine Learning What Machine Learning Actually Is The Deep Learning Workflow Decide on a Goal Collect...
Lei, Zhang Yunquan, Zhang Xianyi, and Liu Fangfang. Accelerating Linpack Performance With Mixed Precision Algorithm On Cpu+gpgpu Heterogeneous Cluster. In: Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded ...
[8] Renxin Zhuang, Junying Chen*. Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging, in Proceedings of MICCAI Workshop on Smart Ultrasound Imaging (MICCAI-SUSI), 2019, 83-91.[9] Renxin Zhuang, Junying Chen*. High Contrast Minimum Variance Beamforming Combined with ...
(2) Nonintrusive Load Monitoring Based on Deep Learning, Data Analytics for Renewable Energy Integration Technologies, Systems and Society, 2018 (3) 能源網際網路與全成本電價,能源網際網路發展研究,清華大學出版社,北京,2017 5、專利 (1) 鐘海旺,夏清,康重慶,陳啟鑫. Optimal Control Method and Apparatus...
54. Non-contact nanoscale electrical measurements for embedded intrinsic charges by Auger electron spectroscopy, Nanotechnology 21(1) (2010) 015707.55. Polarization effects on quantum levels in InN/GaN quantum wells, Nanotechnology 20(48) (2009) 485204.56. Enhancement of p-type conductivity by ...
[10]Ji Zhang, Kuizhi Mei*, Jianping Fan, Learning Multi-Layer Coarse-to-Fine Representations for Over Image Categories, 2016, KDD workshop on Large-Scale Deep Learning on Data Mining.[11]Peixiang Dong, Kuizhi Mei,Ji Zhang,Hao Lei,Jianping Fan: Task-Driven Image Retrieval Using Geographic ...
Shen, Z., Yang, K., Du, W., Zhao, X., & Zou, J. (2019, November). DeepAPP: a deep reinforcement learning framework for mobile application usage prediction. In Proceedings of the 17th Conference on Embedded Networked Sensor Systems (pp. 153-165).Shen, Z., Li, S., Zhao, X., &...
PC member, IEEE Real-Time and Embedded Technology and Applications Symposium, 2018 (CCF A類)PC member, International Conference on Multimedia and Expo, 2018 (CCF B類)PC member, International Conference on Multimedia and Expo, 2019 (CCF B類)PC member, IJCAI, 2019 (CCF A類)研究領域 信息系統...
[53] R. Jiang, Z. Cai, Z. Wang, C. Yang, Z. Fan, Q. Chen, X. Song, and R. Shibasaki, “Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System,” ACM Transactions on Intelligent Systems and Technology (TIST), vol. 13, no. 2, pp. 1–24, 2022.[54] X. ...
[13] Tian Shiqi,Zhong Yanfei,Zheng Zhuo,Ma Ailong,Tan Xicheng, Zhang Liangpei. Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban application, isprs journal of photogrammetry and remote sensing, ...
4. Cheng Dai, Xingang Liu, Hongqiang Cheng, Laurence T. Yang and M. Jamal Deen. Compressing Deep Model with Pruning and Tucker Decomposition for Smart Embedded Systems, IEEE Internet of Things Journal. DOI:10.1109/JIOT. 2021.3116316, 2022. (中科院一區) 5. Cheng Dai, Xingang Liu a...
Chapter 12: Transfer Learning and Pre-Trained Models Chapter 13: Deep Reinforcement Learning Chapter 14: Generative Adversarial Networks Chapter 15: Distributed Models with TensorFlow Clusters Chapter 16: TensorFlow Models on Mobile and Embedded Platforms Chapter 17: TensorFlow and Keras in R Chapter...
