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检索条件"机构=The Key Laboratory of Cognitive Computing and Intelligent Information Processing"
2418 条 记 录,以下是251-260 订阅
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Kernel-learning parameter prediction and evaluation in algebraic multigrid method for several PDEs
arXiv
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arXiv 2025年
作者: Zhang, Juan Luo, Junyue Zhang, Fangfang Yue, Xiaoqiang Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China
This paper explores the application of kernel learning methods for parameter prediction and evaluation in the Algebraic Multigrid Method (AMG), focusing on several Partial Differential Equation (PDE) problems. AMG is ... 详细信息
来源: 评论
Reduced-search guessing random additive noise decoding of polar codes
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Science China(information Sciences) 2023年 第2期66卷 283-284页
作者: Kefan WANG Yuejun WEI Zhenyuan CHEN Huarui YIN Liping LI Wenyi ZHANG Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education of China Anhui University Huawei Technologies Department of Electronic Engineering and Information Science University of Science and Technology of China
Guessing random additive noise decoding(GRAND) has attracted researchers since its introduction in [1]. For an additive noise channel with hard decision output, the algorithm checks all error patterns, and it schedule...
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Text Guided Road Marking Point Cloud Completion
Text Guided Road Marking Point Cloud Completion
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Next Generation Data-driven Networks (NGDN), International Conference on
作者: Xu He Qihong Xu Huan Luo College of Computer and Data Science Fuzhou University Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China
With the continuous development of intelligent transportation technologies such as autonomous driving and navigation, accurate perception of road markings becomes crucial. However, due to limitations in sensor perspec... 详细信息
来源: 评论
A Category Agnostic Model for Visual Rearrangment
A Category Agnostic Model for Visual Rearrangment
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Yuyi Liu Xinhang Song Weijie Li Xiaohan Wang Shuqiang Jiang Key Lab of Intelligent Information Processing Laboratory of the Chinese Academy of Sciences (CAS) Institute of Computing Technology Beijing University of Chinese Academy of Sciences Beijing
This paper presents a novel category agnostic model for visual rearrangement task, which can help an embodied agent to physically recover the shuffled scene configuration without any category concepts to the goal conf... 详细信息
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ACT-MNMT: Auto-Constriction Turning for Multilingual Neural Machine Translation
arXiv
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arXiv 2024年
作者: Dai, Shaojie Liu, Xin Luo, Ping Yu, Yue Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Peng Cheng Laboratory China University of Chinese Academy of Sciences China
Large language model (LLM) has achieved promising performance in multilingual machine translation tasks through zero/few-shot prompts or prompt-tuning. However, due to the mixture of multilingual data during the pre-t... 详细信息
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A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking  23
A Dual Prompt Learning Framework for Few-Shot Dialogue State...
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2023 World Wide Web Conference, WWW 2023
作者: Yang, Yuting Lei, Wenqiang Huang, Pei Cao, Juan Li, Jintao Chua, Tat-Seng Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences Beijing China Sichuan University Sichuan China Stanford University CA United States National University of Singapore Singapore Singapore
Dialogue State Tracking (DST) module is an essential component of task-oriented dialog systems to understand users' goals and needs. Collecting dialogue state labels including slots and values can be costly, requi... 详细信息
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Glancing Future for Simultaneous Machine Translation
Glancing Future for Simultaneous Machine Translation
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Shoutao Guo Shaolei Zhang Yang Feng Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences (ICT/CAS) University of Chinese Academy of Sciences Beijing China
Simultaneous machine translation (SiMT) outputs translation while reading the source sentence. Unlike conventional sequence-to-sequence (seq2seq) training, existing SiMT methods adopt the prefix-to-prefix (prefix2pref...
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EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing
arXiv
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arXiv 2024年
作者: Cong, Gaoxiang Pan, Jiadong Li, Liang Qi, Yuankai Peng, Yuxin van den Hengel, Anton Yang, Jian Huang, Qingming Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS China Macquarie University Australia Peking University China University of Adelaide Australia
Given a piece of text, a video clip, and a reference audio, the movie dubbing task aims to generate speech that aligns with the video while cloning the desired voice. The existing methods have two primary deficiencies... 详细信息
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Edge-Preserving Multi-Exposure Fusion with Guided Filtering for Structural Patch Decomposition  6
Edge-Preserving Multi-Exposure Fusion with Guided Filtering ...
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6th IEEE International Conference on Electronic information and Communication Technology, ICEICT 2023
作者: Zhen, Yang Qi, Junwei Li, Yingsong College of Information and Communication Engineering Harbin Engineering University Harbin150001 China Ministry of Education Anhui University Key Laboratory of Intelligent Computing and Signal Processing Hefei China College of Computer Science and Technology Harbin Engineering University Harbin150001 China
Multi-exposure image fusion (MEF) is one of the effective ways to obtain high dynamic range (HDR) images. Multi-scale structural patch decomposition based MEF(MSPD) and edge-preserving structural patch decomposition (... 详细信息
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An SDN Traffic Engineering Approach Based on Traffic Unsupervised Contrastive Representation and Reinforcement Learning
An SDN Traffic Engineering Approach Based on Traffic Unsuper...
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Next Generation Data-driven Networks (NGDN), International Conference on
作者: Ruiyu Yang Qi Tang Yingya Guo College of Computer and Data Science Fuzhou University Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China
With the rapid development of Internet technology and the continuous explosive growth of network traffic, Traffic Engineering (TE), as a viable method for optimizing network traffic distribution and improving network ... 详细信息
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