检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

16,501 篇 会议
212 篇 期刊文献

馆藏范围

16,713 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,815 篇 工学
- 7,694 篇 计算机科学与技术...
- 4,139 篇 电气工程
- 3,533 篇 软件工程
- 3,156 篇 信息与通信工程
- 1,021 篇 控制科学与工程
- 809 篇 电子科学与技术（可...
- 613 篇 生物医学工程（可授...
- 477 篇 机械工程
- 474 篇 仪器科学与技术
- 453 篇 光学工程
- 302 篇 动力工程及工程热...
- 254 篇 生物工程
- 185 篇 交通运输工程
- 166 篇 航空宇航科学与技...
- 142 篇 网络空间安全
- 122 篇 材料科学与工程（可...
- 114 篇 石油与天然气工程
2,765 篇 理学
- 1,596 篇 数学
- 1,134 篇 物理学
- 406 篇 统计学（可授理学、...
- 294 篇 生物学
- 159 篇 系统科学
- 132 篇 化学
1,774 篇 医学
- 1,669 篇 临床医学
- 204 篇 基础医学(可授医学...
- 122 篇 药学(可授医学、理...
- 108 篇 特种医学
875 篇 管理学
- 608 篇 管理科学与工程(可...
- 321 篇 图书情报与档案管...
- 106 篇 工商管理
80 篇 法学
78 篇 农学
59 篇 经济学
38 篇 文学
28 篇 军事学
26 篇 教育学
19 篇 艺术学

主题

3,288 篇 data compression
1,744 篇 image coding
1,231 篇 image compressio...
1,137 篇 video compressio...
897 篇 point cloud comp...
646 篇 three-dimensiona...
571 篇 encoding
532 篇 compression
508 篇 transform coding
501 篇 decoding
450 篇 data mining
415 篇 compression algo...
369 篇 bandwidth
341 篇 video coding
268 篇 training
256 篇 streaming media
248 篇 computer science
243 篇 deep learning
238 篇 data models
232 篇 discrete cosine ...

机构

25 篇 tsinghua univers...
25 篇 univ chinese aca...
23 篇 ieee
23 篇 department of el...
22 篇 univ calif river...
22 篇 department of el...
22 篇 peng cheng lab p...
19 篇 peking univ peop...
19 篇 peking univ inst...
17 篇 university of ch...
17 篇 argonne natl lab...
16 篇 shanghai jiao to...
16 篇 univ sci & techn...
16 篇 signal and data ...
16 篇 hewlett packard ...
15 篇 harbin institute...
15 篇 department of au...
14 篇 penn state univ ...
14 篇 nanyang technolo...
14 篇 peng cheng labor...

作者

50 篇 w. kinsner
22 篇 liang xin
22 篇 tao dingwen
21 篇 xiong hongkai
18 篇 lukin vladimir
16 篇 klasky scott
16 篇 pratas diogo
15 篇 li li
15 篇 wang shiqi
12 篇 moffat a
12 篇 zhou wang
12 篇 ma zhan
11 篇 jin sian
11 篇 liu zhi
11 篇 wang wei
11 篇 shapira dana
10 篇 liu dong
10 篇 wang jing
10 篇 liu jinyang
10 篇 zorzi michele

语言

16,405 篇 英文
159 篇 其他
116 篇 中文
28 篇 土耳其文
3 篇 俄文
1 篇 西班牙文
1 篇 葡萄牙文

检索条件"任意字段=IEEE Data Compression Conference"

共 16713 条记录，以下是111-120 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Electrooculogram compression Based on Wavelet Packet Decomposition

Electrooculogram Compression Based on Wavelet Packet Decompo...

引用

ieee International Instrumentation and Measurement Technology conference (I2MTC)

作者： Lopez, Alberto Qaisar, Saeed Mian Ferrero, Francisco Yahiaoui, Reda Univ Oviedo Dept Elect Elect Commun & Syst Engn Gijon 33204 Spain Effat Univ Elect & Comp Engn Dept Jeddah 21478 Saudi Arabia Univ Franche Comte SINERGIE Lab F-25000 Besancon France

ISBN: (纸本)9798350380903;9798350380910

The electrooculogram (EOG) represents the electrical activity of the eye. Since most EOG-based applications need a large amount of data to be stored and transmitted, compression is required. A study on the use of discrete wavelet packet decomposition (DWPD) for compressing EOG signals is presented in this paper. The EOG signals are recorded using a commercial bioamplifier. The compression algorithm is implemented using the MATLAB software. The performance of the compression was evaluated using three parameters: compression ratio (CR), energy retention, and percent root-mean-square difference (PRD). The experimental results show that the DWPD allows for CRs of 82% while retaining almost 100% of the signal energy with a PRD of only 7%.

关键词： compression ratio electrooculogram percent root-mean-square difference energy recovery wavelet decomposition wavelet packet decomposition

来源：评论

学校读者我要写书评

暂无评论

GABIC: GRAPH-BASED ATTENTION BLOCK FOR IMAGE compression 31

GABIC: GRAPH-BASED ATTENTION BLOCK FOR IMAGE COMPRESSION

引用

2024 International conference on Image Processing

作者： Spadaro, Gabriele Presta, Alberto Tartaglione, Enzo Giraldo, Jhony H. Grangetto, Marco Fiandrotti, Attilio Univ Turin Turin Italy T elecom Paris Inst Polytech Paris LTCI Paris France

ISBN: (纸本)9798350349405;9798350349399

While standardized codecs like JPEG and HEVC-intra represent the industry standard in image compression, neural Learned Image compression (LIC) codecs represent a promising alternative. In detail, integrating attention mechanisms from Vision Transformers into LIC models has shown improved compression efficiency. However, extra efficiency often comes at the cost of aggregating redundant features. This work proposes a Graph-based Attention Block for Image compression (GABIC), a method to reduce feature redundancy based on a k-Nearest Neighbors enhanced attention mechanism. Our experiments show that GABIC outperforms comparable methods, particularly at high bit rates, enhancing compression performance.

关键词： Learned Image compression Graph Neural Network Attention Mechanism Vision Transformer

来源：评论

学校读者我要写书评

暂无评论

Region of Interest Loss for Anonymizing Learned Image compression 20

Region of Interest Loss for Anonymizing Learned Image Compre...

引用

ieee 20th International conference on Automation Science and Engineering (CASE)

作者： Liebender, Christoph Bezerral, Ranulfo Ohno, Kazunori Tadokoro, Satoshi Tohoku Univ Grad Sch Informat Sci Sendai Miyagi Japan Julius Maximilian Univ Wurzburg Robot Grp Wurzburg Germany

ISBN: (纸本)9798350358513;9798350358520

The use of AI in public spaces continually raises concerns about privacy and the protection of sensitive data. An example is the deployment of detection and recognition methods on humans, where images are provided by surveillance cameras. This results in the acquisition of great amounts of sensitive data, since the capture and transmission of images taken by such cameras happens unaltered, for them to be received by a server on the network. However, many applications do not explicitly require the identity of a given person in a scene;An anonymized representation containing information of the person's position while preserving the context of them in the scene suffices. We show how using a customized loss function on region of interests (ROI) can achieve sufficient anonymization such that human faces become unrecognizable while persons are kept detectable, by training an end-toend optimized autoencoder for learned image compression that utilizes the flexibility of the learned analysis and reconstruction transforms for the task of mutating parts of the compression result. This approach enables compression and anonymization in one step on the capture device, instead of transmitting sensitive, nonanonymized data over the network. Additionally, we evaluate how this anonymization impacts the average precision of pre-trained foundation models on detecting faces (MTCNN) and humans (YOLOv8) in comparison to non-ANN based methods, while considering compression rate and latency. The code and model weights for this approach, including usage examples are publicly available on GitHub: https://***/BRN-Hub/anon-compression

关键词： Anonymity

来源：评论

学校读者我要写书评

暂无评论

CDCache: Space-Efficient Flash Caching via compression-before-Deduplication

CDCache: Space-Efficient Flash Caching via Compression-befor...

引用

ieee conference on Computer Communications (ieee INFOCOM)

作者： Xiao, Hengying Li, Jingwei Ren, Yanjing Wang, Ruijin Zhang, Xiaosong Univ Elect Sci & Technol China Chengdu Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9798350383515;9798350383508

Large-scale storage systems boost I/O performance via flash caching, but the underlying storage medium of flash caching incurs significant financial costs and also exhibits low endurance. Previous studies adopt compression-after-deduplication to mitigate writing redundant contents into the flash cache, so as to address the cost and endurance issues. However, deduplication and compression have conflicting preferable cases, and compression-after-deduplication essentially compromises the space-saving benefits of either deduplication or compression. To simultaneously preserve the benefits of both approaches, we explore compression-before-deduplication, which applies compression to eliminate byte-level redundancies across data blocks, followed by deduplication to write only a single copy of duplicate compressed blocks into the flash cache. We present CDCACHE, a space-efficient flash caching system that realizes compression-before-deduplication. It proposes to dynamically adjust the compression range of data blocks, so as to preserve the effectiveness of deduplication on the compressed blocks. Also, it builds on various design techniques to approximately estimate duplicate data blocks and efficiently manage compressed blocks. Trace-driven experiments show that CDCACHE improves the read hit ratio and the write reduction ratio of a previous compression-after-deduplication approach by up to 1.3x and 1.6x, respectively, while it only has small memory overhead for index management.

关键词： Information management

来源：评论

学校读者我要写书评

暂无评论

A Non-reference Just Recognized Distortion Prediction Framework for Object Detection Task

A Non-reference Just Recognized Distortion Prediction Framew...

引用

data compression conference (DCC)

作者： Liu, Yichen Yin, Haibing Wang, Hongkui Wang, Xia Yin, Lida Hangzhou Dianzi Univ 11582 St Hangzhou 310018 Peoples R China Hangzhou Dianzi Univ Lishui Res Inst Lishui 323000 Peoples R China Lishui Middle Sch Lishui 323000 Peoples R China

ISBN: (纸本)9798350385885;9798350385878

This work proposed a non-reference Just Recognized Distortion (JRD) prediction framework for object detection task based on Generative Adversarial Network (GAN) image generation. Inspired by the concept of Just Noticeable Difference (JND), the JRD is used to describe the threshold of image distortion acceptable for machine vision tasks. Centered around JRD, the proposed framework primarily consisted of a JRD image generation network and a residual-guided JRD regression network. Among them, the JRD image generation network was trained in conjunction with a multi-scale discriminator in the form of GAN. Additionally, we had compiled a dataset comprising over 130,000 images for the YOLOv7 object detection task, and it was used to validate the effectiveness of our proposed framework. Experiments indicated that the framework can approximate the JRD for object detection task with notable accuracy. Consequently, adopting our proposed framework for image compression could reduce the bitrate by 50% while maintaining high accuracy in task. © 2024 ieee.

关键词： Generative Adversarial Network Image compression Just Recognized Distortion Machine Vision Object Detection

来源：评论

学校读者我要写书评

暂无评论

C3: High-performance and low-complexity neural compression from a single image or video

C3: High-performance and low-complexity neural compression f...

引用

ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Kim, Hyunjik Bauer, Matthias Theis, Lucas Schwarz, Jonathan Richard Dupont, Emilien Google DeepMind London England Harvard Univ Cambridge MA 02138 USA

ISBN: (纸本)9798350353006

Most neural compression models are trained on large datasets of images or videos in order to generalize to unseen data. Such generalization typically requires large and expressive architectures with a high decoding complexity. Here we introduce C3, a neural compression method with strong rate-distortion (RD) performance that instead overfits a small model to each image or video separately. The resulting decoding complexity of C3 can be an order of magnitude lower than neural baselines with similar RD performance. C3 builds on Cool-chic [43] and makes several simple and effective improvements for images. We further develop new methodology to apply C3 to videos. On the CLIC2020 image benchmark, we match the RD performance of VTM, the reference implementation of the H.266 codec, with less than 3k MACs/pixel for decoding. On the UVG video benchmark, we match the RD performance of the Video compression Transformer [60], a well-established neural video codec, with less than 5k MACs/pixel for decoding.

关键词： image compression Neural compression neural fields overfitted codecs video compression

来源：评论

学校读者我要写书评

暂无评论

Compressed Input data Format of Quantum Annealing Emulator

Compressed Input Data Format of Quantum Annealing Emulator

引用

data compression conference (DCC)

作者： Shimomai, Sohei Ueda, Kei Kimura, Shinji Waseda Univ Tokyo Japan Fujitsu Tokyo Japan

ISBN: (纸本)9798350347951

Recently, Quantum Annealing (QA) has attracted attention as an efficient algorithm for combinatorial optimization problems. In QA, the input data size becomes large and its reduction is important for the hardware emulation since its usable memory size and its bandwidth are limited. As an improved Coordinate (COO) format for a sparse matrix, Compressed Sparse Row (CSR) has been proposed [1]. We have checked CSR on an Ising model but found that the compression efficiency is not high. © 2023 ieee.

关键词： Ising Model Quantum Annealing Sparse Matrix

来源：评论

学校读者我要写书评

暂无评论

Efficient Side-Channel data compression Using Autoencoder Networks for Enhanced Leakage Analysis 7

Efficient Side-Channel Data Compression Using Autoencoder Ne...

引用

7th International conference on Automation Electronics and Electrical Engineering

作者： Yan, Mingkai Zhang, Lixiong Li, Yujia Wu, Hanbing Li, Yuran CATARC Software Testing Tianjin Co Ltd Tianjin Peoples R China China Automot Technol & Res Ctr Co Ltd Tianjin Peoples R China

ISBN: (纸本)9798350377040;9798350377033

Side-channel data compression techniques are designed to reduce the dimensionality of input data while preserving critical information, thereby improving the efficiency of side-channel analysis. Traditional methods of side-channel analysis can be broadly classified into two categories: peak extraction techniques and data integration techniques, based on the scale and principles of the input data. In this study, we present a novel side-channel data compression technique utilizing convolutional autoencoder networks. We apply this method to power-side channel data collected from an SM4 encryption circuit implemented on a secure chip. Experimental results show that our proposed technique surpasses conventional methods in Test Vector Leakage Assessment (TVLA) analysis and achieves a 35% improvement in efficiency in Measurements to Disclosure (MTD) analysis, while maintaining the same compression rate. These results underscore the effectiveness and potential of our approach in enhancing side-channel analysis.

关键词： Side Channel Analysis data compression Autoencoder Security Chip

来源：评论

学校读者我要写书评

暂无评论

Sketching and Streaming for Dictionary compression

Sketching and Streaming for Dictionary Compression

引用

data compression conference (DCC)

作者： Becker, Ruben Canton, Matteo Cenzato, Davide Kim, Sung-Hwan Kodric, Bojana Prezza, Nicola Ca Foscari Univ Venice Via Torino 155 I-30172 Venice Italy Univ Udine Via Scienze 206 I-33100 Udine Italy

ISBN: (纸本)9798350385885;9798350385878

We initiate the study of sub-linear sketching and streaming techniques for estimating the output size of common dictionary compressors such as Lempel-Ziv '77, the run-length Burrows-Wheeler transform, and grammar compression. To this end, we focus on a measure that has recently gained much attention in the information-theoretic community and which approximates up to a polylogarithmic multiplicative factor the output sizes of those compressors: the normalized substring complexity function delta. As a matter of fact, delta itself is a very accurate measure of compressibility: it is monotone under concatenation, invariant under reversals and alphabet permutations, sub-additive, and asymptotically tight (in terms of worst-case entropy) for representing strings, up to polylogarithmic factors. We present a data sketch of O(epsilon(-3) log n + epsilon(-1) log(2) n) words that allows computing a multiplicative (1 +/- epsilon)-approximation of delta with high probability, where n is the string length. The sketches of two strings S-1, S-2 can be merged in O(epsilon(-1) log(2) n) time to yield the sketch of {S-1, S-2}, speeding up the computation of Normalized compression Distances (NCD). If random access is available on the input, our sketch can be updated in O(epsilon(-1) log(2) n) time for each character right-extension of the string. This yields a polylogarithmic-space algorithm for approximating delta, improving exponentially over the working space of the state-of-the-art algorithms running in nearly-linear time. Motivated by the fact that random access is not always available on the input data, we then present a streaming algorithm computing our sketch in O(pn center dot log n) working space and O(epsilon(-1) log(2) n) worst-case delay per character. We show that an implementation of our streaming algorithm can estimate delta on a dataset of 189GB with a throughput of 203MB per minute while using only 5MB of RAM, and that our sketch speeds up the computation of all-pairs

关键词： data compression dictionary compression repetitive sequences sketching streaming sublinear space algorithms substring complexity

来源：评论

学校读者我要写书评

暂无评论

Unlocking the Power of Numbers: Log compression via Numeric Token Parsing 24

Unlocking the Power of Numbers: Log Compression via Numeric ...

引用

39th ACM/ieee International conference on Automated Software Engineering (ASE)

作者： Yu, Siyu Wu, Yifan Li, Ying He, Pinjia Chinese Univ Hong Kong Shenzhen CUHK Shenzhen Shenzhen Peoples R China Peking Univ Beijing Peoples R China Shenzhen Res Inst Big Data Shenzhen Peoples R China

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

Parser-based log compressors have been widely explored in recent years because the explosive growth of log volumes makes the compression performance of general-purpose compressors unsatisfactory. These parser-based compressors preprocess logs by grouping the logs based on the parsing result and then feed the preprocessed files into a general-purpose compressor. However, parser-based compressors have their limitations. First, the goals of parsing and compression are misaligned, so the inherent characteristics of logs were not fully utilized. In addition, the performance of parser-based compressors depends on the sample logs and thus it is very unstable. Moreover, parser-based compressors often incur a long processing time. To address these limitations, we propose Denum, a simple, general log compressor with high compression ratio and speed. The core insight is that a majority of the tokens in logs are numeric tokens (i.e. pure numbers, tokens with only numbers and special characters, and numeric variables) and effective compression of them is critical for log compression. Specifically, Denum contains a Numeric Token Parsing module, which extracts all numeric tokens and applies tailored processing methods (e.g. store the differences of incremental numbers like timestamps), and a String Processing module, which processes the remaining log content without numbers. The processed files of the two modules are then fed as input to a general-purpose compressor and it outputs the final compression results. Denum has been evaluated on 16 log datasets and it achieves an 8.7% - 434.7% higher average compression ratio and 2.6x - 37.7x faster average compression speed (i.e. 26.2 MB/S) compared to the baselines. Moreover, integrating Denum's Numeric Token Parsing module into existing log compressors can provide a 11.8% improvement in their average compression ratio and achieve 37% faster average compression speed.

关键词： data compression Log compression Log Analysis

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 8 9 10 11 12 13 14 15 16 17 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：