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检索条件"主题词=inference algorithms"
5383 条 记 录,以下是91-100 订阅
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A Substation Safety Measure Ticket Generation Algorithm based on Neural Network and inference Engine
A Substation Safety Measure Ticket Generation Algorithm base...
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Intelligent Systems and Computational Networks (ICISCN), International Conference on
作者: Yin Wu Huicai Zhao Xingfu Huang Liqiong Huang Yuyang Hu Guangxi Power Grid Power Dispatching and Control Center Nanning China Guangxi Power Grid Limited Liability Company Nanning Power Supply Bureau Nanning China Guangxi Power Grid Limited Liability Company Guilin Power Supply Bureau Guilin China
Intelligent substations use fiber optic as the information transmission medium, transforming the interconnection relationship between secondary devices into fiber optic connections. The corresponding secondary circuit... 详细信息
来源: 评论
Hybrid Offline Passive Grammatical inference and Online Planning for Non-Markovian Tasks
Hybrid Offline Passive Grammatical Inference and Online Plan...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Mahyar Alinejad Alvaro Velasquez Yue Wang George Atia Dept. of Electrical and Computer Engineering University of Central Florida Orlando Florida Dept. of Computer Science University of Colorado Boulder Colorado Dept. of Electrical and Computer Engineering Dept. of Computer Science University of Central Florida Orlando Florida
Planning in non-Markovian environments often requires inferring task structures, such as reward machines, through interactions with the environment. Traditional active grammatical inference methods, like Angluin’s L ... 详细信息
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Anda: Unlocking Efficient LLM inference with a Variable-Length Grouped Activation Data Format
Anda: Unlocking Efficient LLM Inference with a Variable-Leng...
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IEEE Symposium on High-Performance Computer Architecture
作者: Chao Fang Man Shi Robin Geens Arne Symons Zhongfeng Wang Marian Verhelst School of Electronic Science and Engineering Nanjing University China ESAT-MICAS KU Leuven Belgium
The widely-used, weight-only quantized large language models (LLMs), which leverage low-bit integer (INT) weights and retain floating-point (FP) activations, reduce storage requirements while maintaining accuracy. How... 详细信息
来源: 评论
Improved Fuzzy Logic inference Algorithm for Vital Sign Monitoring Using FMCW Radar*
Improved Fuzzy Logic Inference Algorithm for Vital Sign Moni...
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Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE International Conference on
作者: Zeping Xu Yan Xiao Yunpeng Wang Ji Li Kailun Song Weixin Zhang School of Computer and Network Security Guilin University of Electronic Science and Technology Guilin China Henan Locaris Intelligent Technology Research Institute Zhengzhou Locaris Technology co.ltd Zhengzhou China
Vital sign monitoring technology based on FMCW radar has become a research hotspot due to its high sensitivity and non-invasive nature. Compared to traditional methods, the fuzzy logic inference methods based on harmo... 详细信息
来源: 评论
A radar behavior mode recognition method with Bayesian inference
A radar behavior mode recognition method with Bayesian infer...
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IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)
作者: Xingyu Wang China State Shipbuilding Corporation Limited No.723 Research Institute China
With the increasingly complex electromagnetic signal environment, the traditional radar signal behavior mode recognition method for phased array and radar seeker of this kind of special multi-mode radar mode recogniti... 详细信息
来源: 评论
Resource Allocation for Semantic Segmentation Tasks in Autonomous Driving: A Likelihood Active inference Approach
Resource Allocation for Semantic Segmentation Tasks in Auton...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Xinxin Zhu F. Richard Yu Ying He Biao He College of Computer Science and Software Engineering Shenzhen University China Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen China Research Institute for Smart Cities School of Architecture and Urban Planning Shenzhen University Shenzhen China
The latest Segment Anything Model enables realtime scene annotation and understanding for autonomous driving systems, enhancing driving safety. However, effectively allocating resources for real-time performance and a... 详细信息
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Optimizing Task Allocation for DNN inference on Edge Devices
Optimizing Task Allocation for DNN Inference on Edge Devices
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International Conference on Computing, Networking and Communications (ICNC)
作者: Mark Kotys Yijie Zhang Chase Q. Wu Aiqin Hou Department of Data Science New Jersey Institute of Technology Newark NJ USA School of Information Science and Technology Northwest University Xi’an China
As artificial intelligence continues to evolve, the need to deploy models at the network edge becomes increasingly critical. A key challenge in such environments is the effective allocation of tasks across devices. To... 详细信息
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Partial inference in Structured Prediction
Partial Inference in Structured Prediction
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Chuyang Ke Deepak Maurya Jean Honorio Purdue University CS West Lafayette USA CIS and OPTIMA ARC Training Centre The University of Melbourne Melbourne Australia
In this work, we examine the partial inference problem in the context of structured prediction. Using a generative model approach, we consider the task of maximizing a score function with unary and pairwise potentials... 详细信息
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LAD: Efficient Accelerator for Generative inference of LLM with Locality Aware Decoding
LAD: Efficient Accelerator for Generative Inference of LLM w...
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IEEE Symposium on High-Performance Computer Architecture
作者: Haoran Wang Yuming Li Haobo Xu Ying Wang Liqi Liu Jun Yang Yinhe Han Chinese Academy of Sciences Institute of Computing Technology University of Chinese Academy of Sciences
Large Language Models (LLMs) have emerged as the cornerstone of content generation applications due to their ability to capture relations between newly generated token and the full preceding context. However, this abi... 详细信息
来源: 评论
CLAIRE: Composable Chiplet Libraries for AI inference
CLAIRE: Composable Chiplet Libraries for AI Inference
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Design, Automation and Test in Europe Conference and Exhibition
作者: Pragnya Sudershan Nalla Emad Haque Yaotian Liu Sachin S. Sapatnekar Jeff Zhang Chaitali Chakrabarti Yu Cao University of Minnesota Twin Cities Arizona State University
Artificial intelligence has made a significant impact on fields like computer vision, Natural Language Processing (NLP), healthcare, and robotics. However, recent AI models, such as GPT-4 and LLaMAv3, demand significa... 详细信息
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