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检索条件"任意字段=IEEE Symposium on Large Data Analysis and Visualization"
15528 条 记 录,以下是401-410 订阅
排序:
LMEye: An Interactive Perception Network for large Language Models
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ieee TRANSACTIONS ON MULTIMEDIA 2024年 26卷 10952-10964页
作者: Li, Yunxin Hu, Baotian Chen, Xinyu Ma, Lin Xu, Yong Zhang, Min Harbin Inst Technol Dept Comp Sci & Technol Shenzhen 518000 Peoples R China Meituan Beijing 100102 Peoples R China
Current efficient approaches to building Multimodal large Language Models (MLLMs) mainly incorporate visual information into LLMs with a simple visual mapping network such as a linear projection layer, a multilayer pe... 详细信息
来源: 评论
A visualization METHOD FOR GPR data INTERPRETATION AND TARGET analysis
A VISUALIZATION METHOD FOR GPR DATA INTERPRETATION AND TARGE...
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ieee International Geoscience and Remote Sensing symposium (IGARSS)
作者: Jin, Kaisheng Gao, Yesheng Liu, Xingzhao Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Peoples R China
In this paper, a novel visualization method for GPR data interpretation and target analysis is proposed for underground target detection and recognition. After preprocessing, the original B-scan image has been transfo... 详细信息
来源: 评论
High Performance visualization for Astrophysics and Cosmology  33
High Performance Visualization for Astrophysics and Cosmolog...
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33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2025
作者: Tuccari, Nicola Sciacca, Eva Vitello, Fabio Colonnelli, Iacopo Becerra, Yolanda Cintero, Enric Sosa Marin, Guillermo Jaros, Milan Riha, Lubomir Strakos, Petr Trujillo-Gomez, Sebastian Tramontana, Emiliano Wissing, Robert Istituto Nazionale di Astrofisica Catania Italy Università di Torino Torino Italy Barcelona Supercomputing Center Barcelona Spain IT4Innovations National Supercomputing Center Ostrava Czech Republic Heidelberg Institute for Theoretical Studies Heidelberg Germany Università degli Studi di Catania Italy University of Oslo Institute of Theoretical Astrophysics Oslo Norway
Modern Astrophysics and Cosmology (A&C) projects produce immense data volumes, necessitating advanced software tools for data access, storage, and analysis. visualization Interface for the Virtual Observatory (Vis... 详细信息
来源: 评论
Learning Depth Representation From RGB-D Videos by Time-Aware Contrastive Pre-Training
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ieee TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2024年 第6期34卷 4143-4158页
作者: He, Zongtao Wang, Liuyi Dang, Ronghao Li, Shu Yan, Qingqing Liu, Chengju Chen, Qijun Tongji Univ Robot & Artificial Intelligence Lab RAIL Shanghai 201804 Peoples R China
Existing end-to-end depth representation in embodied AI is often task-specific and lacks the benefits of emerging pre-training paradigm due to limited datasets and training techniques for RGB-D videos. To address the ... 详细信息
来源: 评论
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking
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ieee TRANSACTIONS ON PATTERN analysis AND MACHINE INTELLIGENCE 2024年 第3期46卷 1881-1897页
作者: Gao, Jin Lu, Yan Qi, Xiaojuan Kou, Yutong Li, Bing Li, Liang Yu, Shan Hu, Weiming Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100190 Peoples R China Microsoft Res Asia Beijing 100080 Peoples R China Univ Hong Kong Dept Elect & Elect Engn Hong Kong Peoples R China Chinese Acad Sci Inst Automat Beijing 100190 Peoples R China
Tracking visual objects from a single initial exemplar in the testing phase has been broadly cast as a one-/few-shot problem, i.e., one-shot learning for initial adaptation and few-shot learning for online adaptation.... 详细信息
来源: 评论
LOOPS: LOcally Optimized Polygon Simplification
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COMPUTER GRAPHICS FORUM 2022年 第3期41卷 355-365页
作者: Amiraghdam, Alireza Diehl, Alexandra Pajarola, Renato Univ Zurich Dept Informat Zurich Switzerland
Displaying polygonal vector data is essential in various application scenarios such as geometry visualization, vector graphics rendering, CAD drawing and in particular geographic, or cartographic visualization. Dealin... 详细信息
来源: 评论
visualization of Hidden Patterns in WhatsApp Chat using Sentimental analysis  3
Visualization of Hidden Patterns in WhatsApp Chat using Sent...
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3rd International Conference on Intelligent data Communication Technologies and Internet of Things, IDCIoT 2025
作者: Vinora, A. Suryakumar, L.S.S. Harivishnu, T.S. Jaspin, K. Selvaraj, Arikumar K. Nancy Deborah, M. Velammal College of Engineering and Technology Madurai India St. Joseph's Institute of Technology Chennai India SRM Institute of Science and Technology Chennai India
Challenges include handling unstructured chat data, ensuring privacy and ethical standards, managing large data volumes, accurately interpreting sentiment despite context, sarcasm, and irony, and creating effective vi... 详细信息
来源: 评论
Self-Supervised Tracking via Target-Aware data Synthesis
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ieee TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024年 第7期35卷 9186-9197页
作者: Li, Xin Pei, Wenjie Wang, Yaowei He, Zhenyu Lu, Huchuan Yang, Ming-Hsuan Peng Cheng Lab Shenzhen 518055 Peoples R China Harbin Inst Technol Sch Comp Sci & Technol Shenzhen 518055 Peoples R China Dalian Univ Technol Sch Informat & Commun Engn Dalian 116024 Peoples R China Univ Calif Merced Dept Elect Engn & Comp Sci Merced CA 95344 USA
While deep-learning-based tracking methods have achieved substantial progress, they entail large-scale and high-quality annotated data for sufficient training. To eliminate expensive and exhaustive annotation, we stud... 详细信息
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Lossy Compression for visualization of Atmospheric data  11
Lossy Compression for Visualization of Atmospheric Data
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ieee 11th symposium on large data analysis and visualization (LDAV)
作者: Semeraro, Dave Orf, Leigh Texas Adv Comp Ctr Austin TX 78758 USA Univ Wisconsin Madison WI USA
Lossy compression is a data compression technique that sacrifices precision for the sake of higher compression rates. While loss of precision is unacceptable when storing simulation data for check pointing, it has lit... 详细信息
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A Survey of visualization and analysis in High-Resolution Connectomics
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COMPUTER GRAPHICS FORUM 2022年 第3期41卷 573-607页
作者: Beyer, Johanna Troidl, Jakob Boorboor, Saeed Hadwiger, Markus Kaufman, Arie Pfister, Hanspeter Harvard Univ Visual Comp Grp Cambridge MA 02138 USA SUNY Stony Brook Dept Comp Sci Stony Brook NY 11794 USA King Abdullah Univ Sci & Technol Visual Comp Ctr Thuwal Saudi Arabia
The field of connectomics aims to reconstruct the wiring diagram of Neurons and synapses to enable new insights into the workings of the brain. Reconstructing and analyzing the Neuronal connectivity, however, relies o... 详细信息
来源: 评论