中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共7条，第1-7条

帮助

条数/页：排序方式：
	An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference 期刊论文 OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1497-1510 作者: Liu, Lian; Wang, Ying; Zhao, Xiandong; Chen, Weiwei; Li, Huawei \| 收藏 \| 浏览/下载：4/0 \| 提交时间：2024/12/06 Optimization Quantization (signal) Computer architecture Training Computational modeling Integrated circuit modeling Convergence Automatic joint optimization efficient model inference network quantization neural architecture search (NAS)
	Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems 期刊论文 OAI收割 IEEE ACCESS, 2021, 卷号: 9 作者: Yin, Linfei; Zhang, Chenwei; Wang, Yaoxiong; Gao, Fang; Yu, Jun \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/04/26 Training Automatic voltage control Deep learning Power system stability Neural networks Neurons Tuning Automatic voltage regulator emotional deep learning programming controller emotional deep neural network
	Bayesian Automatic Model Compression 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736 作者: Wang, Jiaxing; Bai, Haoli; Wu, Jiaxiang; Cheng, Jian \| 收藏 \| 浏览/下载：91/0 \| 提交时间：2020/12/04 Quantization (signal) Bayes methods Mathematical model Training Mixture models Optimization Machine learning Bayesian learning model compression automatic machine learning quantizartion explainability
	Locomotion Mode Recognition With Robotic Transtibial Prosthesis in Inter-Session and Inter-Day Applications 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2019, 卷号: 27, 期号: 9, 页码: 1836-1845 作者: Zheng, Enhao; Wang, Qining; Qiao, Hong \| 收藏 \| 浏览/下载：55/0 \| 提交时间：2019/12/16 Locomotion mode recognition inter-day and inter-session automatic training robotic transtibial prosthesis
	A New Binary-Halved Clustering Method and ERT Processor for ASSR System 期刊论文 OAI收割 IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2016, 卷号: 24, 期号: 5, 页码: 1871-1884 作者: Chou, Chih-Hung; Kuan, Ta-Wen; Barma, Shovan; Chen, Bo-Wei; Ji, Wen \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2019/12/13 Automatic speech-speaker recognition (ASSR) binary-halved clustering (BHC) configurable processing element (CPE) extraction recognition and training (ERT) multichannel router (MCR) multifeedback shift register (MFSR)
	A new method of target recognition based on rough set and support vector machine (EI CONFERENCE) 会议论文 OAI收割 2nd International Conference on Image Analysis and Signal Processing, IASP'2010, April 12, 2010 - April 14, 2010, Xiamen, China 作者: He X. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership so that some samples can be chosen by class membership to be trained. After pre-treatment an iterative algorithm based on Rough Set and Support Vector Machines (IRSSVM) is introduced to design a classifier for recognizing two types of targets. The experiment results show that IRSSVM needs less training time and the classifier is simpler and has more generalization and higher recognition rate. 2010 IEEE.
	Image Annotation Refinement using NSC-Based Word Correlation 会议论文 OAI收割 Beijing, China, July 2-5, 2007 作者: Jing Liu; Mingjing Li; Qingshan Liu; Hanqing Lu; Songde Ma \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2017/02/20 Internet Graph Theory Image Retrieval Corel Dataset Nsc-based Word Correlation Automatic Image Annotation Candidate Annotations Image Annotation Refinement Nearest Spanning Chains Synonymy Relationship Untagged Image Word Co-occurrence Information Word Correlation Estimation Word-based Graph Asia Automation Data Mining Explosions Information Retrieval Internet Organizing Statistical Distributions Thesauri Training Data