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检索条件"任意字段=IEEE Data Compression Conference"
16713 条 记 录,以下是91-100 订阅
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ByteZip: Efficient Lossless compression for Structured Byte Streams Using DNNs
ByteZip: Efficient Lossless Compression for Structured Byte ...
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International Joint conference on Neural Networks (IJCNN)
作者: Ramakrishnan, Parvathy P. Das, Satyajit Indian Inst Technol Palakkad Dept Data Sci Palakkad Kerala India
data compression plays a key role in efficient data storage, transmission, and processing. With the fast development of deep learning techniques, deep neural networks have been used in this field to achieve a higher c... 详细信息
来源: 评论
Detecting and Adapting to CSI Feedback Drift in data-Driven compression for MIMO Systems  1
Detecting and Adapting to CSI Feedback Drift in Data-Driven ...
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1st ieee International conference on Machine Learning for Communication and Networking (ieee ICMLCN)
作者: Wang, Xinyi Mestav, Kursat Rasim Nuzman, Carl Saniee, Iraj Cornell Univ Elect & Comp Engn 116 Hoy Rd Ithaca NY 14853 USA Nokia Bell Labs AI Lab 600 Mt Ave Murray Hill NJ 07974 USA
Deep neural networks make it possible to learn key characteristics of data without having to assume mathematically tractable models. This in turn results in an ability to compress data in a model-free way. One of the ... 详细信息
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Succinct data Structures for Bounded Degree/Chromatic Number Interval Graphs
Succinct Data Structures for Bounded Degree/Chromatic Number...
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data compression conference (DCC)
作者: He, Meng Munro, J. Ian Wu, Kaiyu Dalhousie Univ Fac Comp Sci Halifax NS Canada Univ Waterloo Cheriton Sch Comp Sci Waterloo ON Canada
An interval graph is the intersection graph of intervals on the real line. We consider the problem of constructing space efficient data structures for two subclasses of interval graphs: those with maximum degree sigma... 详细信息
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Measuring the Similarity of Files by data compression
Measuring the Similarity of Files by Data Compression
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data compression conference (DCC)
作者: Scholnast, Hubert St Polten Univ Appl Sci Inst IT Secur Res St Polten Austria
The two meta-algorithms Concat Compress and Cross Compress, which can be used to measure the similarity of files, were subjected to an extensive practical test together with the compression algorithms Re-Pair, gzip an... 详细信息
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A Comparative Analysis of the Lossless data compression Methods for Unsparsed Tabular data  4
A Comparative Analysis of the Lossless Data Compression Meth...
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4th ieee International conference on Electrical, Computer, and Energy Technologies, ICECET 2024
作者: Erkus, Ekin Can Bursali, Ahmet Huawei Turkey R&D Center Intelligent Application DC Dept. Istanbul Turkey
This paper conducts a comparative analysis of the impact of unsparsing by data scaling on lossless data compression methods. The most commonly used data compression algorithms such as gzip, zlib, bzip2, and lzma are t... 详细信息
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Implementation of an AI-based compression Method for Current Waveforms of Partial Discharges in AC and DC High Voltage Systems
Implementation of an AI-based Compression Method for Current...
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ieee International conference on High Voltage Engineering and Applications (ICHVE)
作者: True, Pascal Graef, Thomas Menge, Matthias Hsch Tech & Wirtschaft Berlin Elekt Anlagentech Berlin Germany Hsch Tech & Wirtschaft Berlin Ingn Informat Elektrotech Berlin Germany
In order to improve automated AI-based partial discharge (PD) analysis, it will be investigated whether the use of the entire PD current waveform has advantages over using only the apparent charge and phase reference.... 详细信息
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Real-World Evaluation of Compressed Sensing for data compression in Smart Grids
Real-World Evaluation of Compressed Sensing for Data Compres...
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2025 ieee Texas Power and Energy conference, TPEC 2025
作者: Varnousfaderani, Sepideh Alaei Andani, Mansour Taheri Yousefpour, Mohammad Alaei, Sahar Andani, Majid Taheri Azad University Iran Arizona State University United States Data Engineer United States Software Engineer United States
The smart grid integrates digital technologies for efficient power delivery and real-time monitoring, but managing its large data volumes remains challenging. This study investigates Compressed Sensing (CS) as a solut... 详细信息
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An Iterative Spike compression Method Based on Wavelet Transform and Heuristic Algorithm
An Iterative Spike Compression Method Based on Wavelet Trans...
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2024 Biomedical Circuits and Systems conference
作者: Ding, Yukun Lui, Yirui Liu, Xiao Fudan Univ Sch Informat Sci & Technol Shanghai 200433 Peoples R China Fudan Univ State Key Lab Integrated Chips & Syst Shanghai 201203 Peoples R China
Due to the constraints of bandwidth and power in implantable brain-computer interface, large amount of neural data cannot be easily transferred over a wireless link. Wavelet-based compression before transmission is a ... 详细信息
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VCISR: Blind Single Image Super-Resolution with Video compression Synthetic data
VCISR: Blind Single Image Super-Resolution with Video Compre...
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ieee/CVF Winter conference on Applications of Computer Vision (WACV)
作者: Wang, Boyang Liu, Bowen Liu, Shiyu Yang, Fengyu Univ Michigan Ann Arbor MI 48109 USA
In the blind single image super-resolution (SISR) task, existing works have been successful in restoring image-level unknown degradations. However, when a single video frame becomes the input, these works usually fail... 详细信息
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Semantic-Oriented Feature compression for Resource-Constrained Distributed Sensor Networks  25
Semantic-Oriented Feature Compression for Resource-Constrain...
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ieee Wireless Communications and Networking conference (ieee WCNC)
作者: Xiong, Longhui Hua, Wenhui Hong, Xuemin Cheng, Xiang Xiamen Univ Sch Informat Xiamen Peoples R China Xiamen Univ Sch Elect Sci & Engn Xiamen Peoples R China Peking Univ Sch Elect Beijing Peoples R China
Navigating challenging conditions characterized by stringent bandwidth constraints and noisy channels, Distributed Sensor Networks (DSNs) demand robust feature compression techniques for accurate data fusion. The adve... 详细信息
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