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检索条件"机构=Semiconductor Neural Network Intelligent Perception and Computing Technology"
61 条 记 录,以下是21-30 订阅
排序:
Fitting Curves with Fractional Implicit Polynomials: A PSO-Assisted Monomial Combination Optimization Framework  7
Fitting Curves with Fractional Implicit Polynomials: A PSO-A...
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7th Asian Conference on Artificial Intelligence technology, ACAIT 2023
作者: Tong, Yuerong Yu, Lina Li, Weijun Liu, Jingyi Hou, Luyang Sun, Linjun Wu, Min Chinese Academy of Sciences AnnLab Institute of Semiconductors Beijing100085 China University of Chinese Academy of Sciences School of Materials Science And Optoelectronic Technology School of Integrated Circuits Beijing100049 China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing And Computing Technology Beijing100085 China Beijing University of Posts And Telecommunications Beijing100876 China
Implicit polynomial can efficiently represent the object contour for the curve fitting, and fractional implicit polynomial (FIP) is capable of describing complex objects at lower degree. However, both of IP and FIP ba... 详细信息
来源: 评论
SSCGAN: Speech style conversion based on GAN
SSCGAN: Speech style conversion based on GAN
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2022 International Conference on Algorithms, Microchips and network Applications
作者: Li, Jixing Guo, Xiaozhou Shen, Ronxuan Lu, Huaxiang Wang, Xinggang Cao, Zhanzhong Zhang, Chi Mao, Wenyu Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China Materials and Optoelectronics Research Center University of Chinese Academy of Sciences Beijing100083 China College of Microelectronics University of Chinese Academy of Sciences Beijing China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Laboratory Beijing100083 China Nanjing Research Institute of Information Technology Nanjing210009 China
Speech conversion has significant applications in medical, robotics, and other industries. With the rise of deep learning, CycleGAN is widely used in speech conversion technology. However, the existing CycleGAN-based ... 详细信息
来源: 评论
A Novel Configurable High-precision and Low-cost Circuit Design of Sigmoid and Tanh Activation Function
A Novel Configurable High-precision and Low-cost Circuit Des...
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IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)
作者: Feng Liu Bowen Zhang Gang Chen Guoliang Gong Huaxiang Lu Wenchang Li Institute of Semiconductors Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing China Center for Excellence in Brain Science and Intelligence Technology CAS Shanghai China
This paper proposes a configurable Sigmoid and Tanh activation function circuit design by second-order approximation and deviation compensation. The proposed circuit is synthesized in TSMC 180nm technology within a 72... 详细信息
来源: 评论
Artificial neural network-based Approach to Modeling Energy Bands of GaN-based Heterojunction Materials  5
Artificial Neural Network-based Approach to Modeling Energy ...
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5th International Conference on High Performance Big Data and intelligent Systems, HDIS 2023
作者: Hao, Meilan Wei, Shu Yu, Lina Li, Weijun Wu, Min Liu, Jingyi Li, Wenqiang Li, Yanjie AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China School of Information and Electrical Engineering Hebei University of Engineering Handan056038 China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing100083 China School of Integrated Circuits University of Chinese Academy of Sciences Beijing100049 China
This work reports a preliminary investigation of energy bands of AlxGa1-xN/GaN heterojunction based on the use of artificial neural networks (ANN). Numerical energy bands simulations were used to generate training and... 详细信息
来源: 评论
A neural-Guided Dynamic Symbolic network for Exploring Mathematical Expressions from Data  41
A Neural-Guided Dynamic Symbolic Network for Exploring Mathe...
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41st International Conference on Machine Learning, ICML 2024
作者: Li, Wenqiang Li, Weijun Yu, Lina Wu, Min Sun, Linjun Liu, Jingyi Li, Yanjie Wei, Shu Deng, Yusong Hao, Meilan AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing China School of Electronic Electrical and Communication Engineering School of Integrated Circuits University of Chinese Academy of Sciences Beijing China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing China
Symbolic regression (SR) is a powerful technique for discovering the underlying mathematical expressions from observed data. Inspired by the success of deep learning, recent deep generative SR methods have shown promi... 详细信息
来源: 评论
RLEPSO:Reinforcement learning based Ensemble particle swarm optimizer
RLEPSO:Reinforcement learning based Ensemble particle swarm ...
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2021年第四届算法、计算和人工智能国际会议
作者: Shiyuan Yin Yi Liu GuoLiang Gong Huaxiang Lu Wenchang Li Institute of Semiconductors CAS Institute of Semiconductors CAS University of Chinese Academy of Sciences China Academy of Sciences brain science and intelligent technology excellence innovation center Beijing Key Laboratory of semiconductor neural network intelligent sensing and computing technology
Evolution is the driving force behind the evolution of biological intelligence. Learning is the driving force behind human civilization. The combination of evolution and learning can form an entire natural world. Now,... 详细信息
来源: 评论
A local descriptor with physiological characteristic for finger vein recognition
arXiv
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arXiv 2020年
作者: Zhang, Liping Li, Weijun Ning, Xin Institute of Semiconductors Chinese Academy of Sciences Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology School of Microelectronics University of Chinese Academy of Sciences Cognitive Computing Technology Joint Laboratory Wave Group Beijing China
Local feature descriptors exhibit great superiority in finger vein recognition due to their stability and robustness against local changes in images. However, most of these are methods use general-purpose descriptors ... 详细信息
来源: 评论
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition
arXiv
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arXiv 2018年
作者: Li, Zhiyuan Teng, Nanjun Jin, Min Lu, Huaxiang CAS Center for Excellence in Brain Science and Intelligence Technology Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Lab of Artificial Networks Institute of Semiconductors CAS University of Chinese Academy of Sciences
Deep convolutional neural networks based methods have brought great breakthrough in images classification, which provides an end-to-end solution for handwritten Chinese character recognition(HCCR) problem through lear... 详细信息
来源: 评论
Design and Implementation of Feedback Cancellation Algorithm for Hearing Aids
Design and Implementation of Feedback Cancellation Algorithm...
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High Performance Big Data and intelligent Systems (HPBD&IS)
作者: Yuyan Lan Ang Wang Weixin Zhou Wan’ang Xiao Institute of Semiconductors Chinese Academy of Sciences Beijing China School of Microelectronics University of Chinese Academy of Sciences Beijing China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China
This paper presents the optimization idea, hardware implementation architecture and low power optimization process of feedback cancellation algorithm applied in hearing aid chip. Based on the NLMS algorithm, three ban... 详细信息
来源: 评论
A Modeling Method for Face Image Deblurring
A Modeling Method for Face Image Deblurring
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High Performance Big Data and intelligent Systems (HPBD&IS)
作者: Hao Tian Linjun Sun Xiaoli Dong Baoli Lu Hong Qin Liping Zhang Weijun Li Chinese Academy of Sciences Institute of Semiconductors Beijing China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China School of Microelectronics University of Chinese Academy of Sciences Beijing China
This paper aims to learn a face representation that can accurately reconstruct a clear face from a blurred face image. To this end, we propose an explicit model (ID-Face) to represent the human face as a concise expre... 详细信息
来源: 评论