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检索条件"任意字段=IEEE Symposium on Large Data Analysis and Visualization"
15526 条 记 录,以下是391-400 订阅
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ieee LDAV 2024 Preface
IEEE LDAV 2024 Preface
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ieee symposium on large data analysis and visualization (LDAV)
作者: Johanna Beyer Steffen Frey Guido Reina Silvio Rizzi Gunther H. Weber Soumya Dutta Nicole Marsaglia Peer-Timo Bremer Kenneth Moreland Kristi Potter Julien Tierny Chaoli Wang Hongfeng Yu Harvard University University of Groningen University of Stuttgart Argonne National Laboratory Lawrence Berkeley National Laboratory Indian Institute of Technology Kanpur (IITK) Lawrence Livermore National Laboratory Oak Ridge National Laboratory National Renewable Energy Laboratory CNRS - Sorbonne Université University of Notre Dame University of Nebraska-Lincoln
Join us for the 14th ieee symposium on large data analysis and visualization (ieee LDAV) on Sunday, October 13th 2024 collocated with ieee VIS 2024 in St. Pete Beach, Florida, USA.
来源: 评论
JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition
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ieee ROBOTICS AND AUTOMATION LETTERS 2024年 第2期9卷 1310-1317页
作者: Berton, Gabriele Trivigno, Gabriele Caputo, Barbara Masone, Carlo Politecn Torino Dept Control & Comp Engn Visual & Multimodal Appl Learning Lab I-10138 Turin Italy
Visual Place Recognition aims at recognizing previously visited places by relying on visual clues, and it is used in robotics applications for SLAM and localization. Since typically a mobile robot has access to a cont... 详细信息
来源: 评论
Reliability analysis of Phase Change Memory-Based Neuromorphic Circuits
Reliability Analysis of Phase Change Memory-Based Neuromorph...
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ieee-Computer-Society Annual symposium on VLSI (ISVLSI)
作者: Titirsha, Twisha Shuvo, Md Maruf Hossain Islam, Syed Kamrul Univ Missouri Dept Elect Engn & Comp Sci Columbia MO 65211 USA Univ Texas El Paso Dept Elect & Comp Engn El Paso TX 79968 USA
This paper presents an in-depth reliability analysis of neuromorphic circuits utilizing phase change memory (PCM). In-memory computing with PCM cells to store synaptic weights is exploited to address the performance g... 详细信息
来源: 评论
Open Long-Tailed Recognition in a Dynamic World
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ieee TRANSACTIONS ON PATTERN analysis AND MACHINE INTELLIGENCE 2024年 第3期46卷 1836-1851页
作者: Liu, Ziwei Miao, Zhongqi Zhan, Xiaohang Wang, Jiayun Gong, Boqing Yu, Stella X. Nanyang Technol Univ Singapore 639798 Singapore Univ Calif Berkeley Int Comp Sci Inst Berkeley CA 94720 USA Chinese Univ Hong Kong Hong Kong Peoples R China Google Inc Mountain View CA 94043 USA
Real world data often exhibits a long-tailed and open-ended (i.e., with unseen classes) distribution. A practical recognition system must balance between majority (head) and minority (tail) classes, generalize across ... 详细信息
来源: 评论
SRRNet: A Transformer Structure With Adaptive 2-D Spatial Attention Mechanism for Cell Phone-Captured Shopping Receipt Recognition
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ieee TRANSACTIONS ON CONSUMER ELECTRONICS 2024年 第1期70卷 3289-3298页
作者: Zhou, Haibin Shao, Lujiao Zhang, Haijun Harbin Inst Technol Shenzhen Dept Comp Sci Shenzhen 518055 Peoples R China
Shopping receipts, which are regarded as a kind of consumption proof provided to consumers, contain important information for trade. The digitalization of shopping receipts by extracting text information from images c... 详细信息
来源: 评论
Embedding Environmental Intelligence in Low-cost Drones
Embedding Environmental Intelligence in Low-cost Drones
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ieee-Computer-Society Annual symposium on VLSI (ISVLSI)
作者: Gonzalez, Roberto Gomez Gonzalez, Miguel Gomez Trevino, Luis Sundaravadivel, Prabha Univ Texas Tyler Dept Elect & Comp Engn Tyler TX 75701 USA
Effective environmental monitoring is key in our rapidly changing world, where environmental metrics such as temperature, humidity, and air quality can unexpectedly fluctuate and cause health risks and ecological imba... 详细信息
来源: 评论
Towards an Integrated Performance Framework for Fire Science and Management Workflows  24
Towards an Integrated Performance Framework for Fire Science...
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24th ieee/ACM International symposium on Cluster, Cloud, and Internet Computing (CCGrid)
作者: Ahmed, Hena Shende, Ravi Perez, Ismael Crawl, Daniel Purawat, Shweta Altintas, Ilkay Univ Calif San Diego Halicioglu Data Sci Inst La Jolla CA 92093 USA Univ Calif San Diego San Diego Supetromputer Ctr La Jolla CA 92093 USA
Reliable performance metrics are necessary prerequisites to building large-scale end-to-end integrated workflows for collaborative scientific research, particularly within context of use-inspired decision making platf... 详细信息
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A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media
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ieee TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 2024年 第2期11卷 2872-2888页
作者: Anshul, Ashutosh Pranav, Gumpili Sai Rehman, Mohammad Zia Ur Kumar, Nagendra Indian Inst Technol Indore Indore 453552 India
The recent coronavirus disease (COVID-19) has become a pandemic and has affected the entire globe. During the pandemic, we have observed a spike in cases related to mental health, such as anxiety, stress, and depressi... 详细信息
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Weakly Correlated Multimodal Sentiment analysis: New dataset and Topic-Oriented Model
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ieee TRANSACTIONS ON AFFECTIVE COMPUTING 2024年 第4期15卷 2070-2082页
作者: Liu, Wuchao Li, Wengen Ruan, Yu-Ping Shu, Yulou Chen, Juntao Li, Yina Yu, Caili Zhang, Yichao Guan, Jihong Zhou, Shuigeng Tongji Univ Dept Comp Sci & Technol Shanghai 200070 Peoples R China Zhejiang Lab Hangzhou 311121 Peoples R China Fudan Univ Sch Comp Sci Shanghai 200433 Peoples R China
Existing multimodal sentiment analysis models focus more on fusing highly correlated image-text pairs, and thus achieves unsatisfactory performance on multimodal social media data which usually manifests weak correlat... 详细信息
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Efficient representation and analysis for a large tetrahedral mesh using Apache Spark
Efficient representation and analysis for a large tetrahedra...
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2024 ieee Topological data analysis and visualization, TopoInVis 2024
作者: Qian, Yuehui Liu, Guoxi Iuricich, Federico Floriani, Leila De University of Maryland College Park United States Clemson University United States
Tetrahedral meshes are widely used due to their flexibility and adaptability in representing changes of complex geometries and topology. However, most existing data structures struggle to efficiently encode the irregu... 详细信息
来源: 评论