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检索条件"机构=Laboratory for Advanced Computing and Intelligence Engineering"
547 条 记 录,以下是121-130 订阅
排序:
Compression of 3-D point visual data using vector quantization and rate-distortion optimization
Compression of 3-D point visual data using vector quantizati...
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作者: Sim, Jae-Young Lee, Sang-Uk IEEE Computing and Intelligence Laboratory Samsung Advanced Institute of Technology Yongin Korea Republic of School of Electrical Engineering and Computer Science Seoul National University Seoul 151-742 Korea Republic of
In this paper, we propose adaptive and flexible quantization and compression algorithms for 3-D point data using vector quantization (VQ) and rate-distortion (R-D) optimization. The point data are composed of the posi... 详细信息
来源: 评论
Joint Feature Fusion Approach to Human Pose Estimation Using mmWave Radar  5th
Joint Feature Fusion Approach to Human Pose Estimation Usin...
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5th China Conference on Intelligent Networked Things, CINT 2022
作者: Zhang, Jianxiong Cao, Zhongping Ding, Wen Chen, Rihui Guo, Xuemei Wang, Guoli School of Artificial Intelligence Sun-Yat-Sen University Zhuhai519000 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Beijing China School of Computer Science and Engineering Sun-Yat-Sen University Guangzhou510006 China
This paper mainly studies the use of millimeter wave (mmWave) radar for 3D human pose estimation. Although pioneering works have achieved remarkable success, the lack of stability of continuous data acquisition by mmW... 详细信息
来源: 评论
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers  35
Improving Visual Quality of Image Synthesis by A Token-based...
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35th Conference on Neural Information Processing Systems, NeurIPS 2021
作者: Zeng, Yanhong Yang, Huan Wang, Jianbo Fu, Jianlong School of Computer Science and Engineering Sun Yat-sen University China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China Microsoft Research Asia China University of Tokyo Japan
We present a new perspective of achieving image synthesis by viewing this task as a visual token generation problem. Different from existing paradigms that directly synthesize a full image from a single input (e.g., a... 详细信息
来源: 评论
Network Embedding with Topology-Aware Textual Representations  18th
Network Embedding with Topology-Aware Textual Representation...
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18th Pacific Rim International Conference on Artificial intelligence, PRICAI 2021
作者: Chen, Jiaxing Xu, Zenan Su, Qinliang School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China
Textual network embedding aims to learn meaningful low-dimensional representations for vertices with the consideration of the associated texts. When learning the representations for texts in network embedding, existin... 详细信息
来源: 评论
Deadline constrained cloud computing resources scheduling for cost optimization based on dynamic objective genetic algorithm
Deadline constrained cloud computing resources scheduling fo...
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IEEE Congress on Evolutionary Computation, CEC 2015
作者: Chen, Zong-Gan Du, Ke-Jing Zhan, Zhi-Hui Zhang, Jun Department of Computer Science Sun Yat-Sen University Guangzhou510275 China School of Advanced Computing Sun Yat-Sen University Guangzhou510275 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China Engineering Research Center of Supercomputing Engineering Software Ministry of Education China Key Laboratory of Software Technology Department of Guangdong Province China
Cloud computing resources scheduling is significant for executing the workflows in cloud platform because it relates to both the execution time and execution cost. In order to take both the time and cost into consider... 详细信息
来源: 评论
Using Knowledge Induction Strategies: Llms Can Do Better in Knowledge-Driven Dialogue Tasks
SSRN
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SSRN 2023年
作者: Peng, Sisi Qu, Dan Zhang, Hao Zhang, Wenlin Li, Shunhang Information Engineering University Zhengzhou China Laboratory for Advanced Computing and Intelligence Engineering Zhengzhou China
Acquiring and utilizing knowledge is essential for dialogue systems to generate high-quality responses. In recent years, Large Language Models (LLMs) have garnered significant attention in research due to their abilit... 详细信息
来源: 评论
Easy and Effective! Data Augmentation for Knowledge-Aware Dialogue Generation Via Multi-Perspective Sentences Interaction
SSRN
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SSRN 2024年
作者: Peng, Sisi Qu, Dan Zhang, Wenlin Zhang, Hao Li, Shunhang Xu, Minchen Information Engineering University Zhengzhou China Laboratory for Advanced Computing and Intelligence Engineering Zhengzhou China
In recent years, knowledge-based dialogue generation has become a popular research topic due to its ability to generate informative and coherent responses by incorporating external knowledge into models. However, acqu... 详细信息
来源: 评论
Exploiting Multiple Features for Hash Codes Learning with Semantic-Alignment-Promoting Variational Auto-encoder  12th
Exploiting Multiple Features for Hash Codes Learning with Se...
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12th National CCF Conference on Natural Language Processing and Chinese computing, NLPCC 2023
作者: Chen, Jiayang Su, Qinliang School of Computer Science and Engineering Sun Yat-Sen University Guangzhou China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Beijing China
Semantic hashing is an effective technique to empower information retrieval. Currently, considerable efforts have been dedicated to generating high-quality hash codes by modeling document features using generative mod... 详细信息
来源: 评论
Meta-Adaptable-Adapter: Efficient Adaptation of Self-Supervised Models for Low-Resource Speech Recognition
SSRN
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SSRN 2023年
作者: Chen, Yaqi Zhang, Hao Yang, Xukui Zhang, Wenlin Qu, Dan Information Engineering University Zhengzhou China Laboratory for Advanced Computing and Intelligence Engineering Zhengzhou China
Self-supervised models have demonstrated remarkable performance in speech processing by learning latent representations from large amounts of unlabeled data. Adapting these models to low-resource languages yields prom... 详细信息
来源: 评论
A pso approach for software project planning  14
A pso approach for software project planning
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16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion
作者: Jia, Ya-Hui Chen, Wei-Neng Hu, Xiao-Min Department of Computer Science Sun Yat-sen University China School of Advanced Computing Sun Yat-sen University China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China Engineering Research Center of Supercomputing Engineering Software Ministry of Education China School of Public Health Sun Yat-sen University China
Search-based software project management is a hot research point in software engineering. Based on the event-based scheduler (EBS) we have proposed in previous work [1], this paper intends to further propose a two-pha... 详细信息
来源: 评论