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

352 篇 会议
37 册 图书
5 篇 期刊文献

馆藏范围

394 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

254 篇 工学
- 207 篇 计算机科学与技术...
- 88 篇 软件工程
- 52 篇 电气工程
- 48 篇 信息与通信工程
- 28 篇 控制科学与工程
- 22 篇 生物工程
- 18 篇 生物医学工程（可授...
- 14 篇 光学工程
- 9 篇 电子科学与技术（可...
- 8 篇 仪器科学与技术
- 6 篇 安全科学与工程
- 5 篇 化学工程与技术
- 3 篇 机械工程
- 3 篇 材料科学与工程（可...
79 篇 理学
- 43 篇 数学
- 22 篇 生物学
- 20 篇 物理学
- 10 篇 统计学（可授理学、...
- 6 篇 化学
- 4 篇 系统科学
52 篇 医学
- 50 篇 临床医学
- 10 篇 基础医学(可授医学...
- 5 篇 药学(可授医学、理...
- 5 篇 特种医学
- 4 篇 中西医结合
33 篇 管理学
- 18 篇 图书情报与档案管...
- 15 篇 管理科学与工程(可...
- 7 篇 工商管理
8 篇 法学
- 6 篇 社会学
7 篇 艺术学
- 6 篇 设计学（可授艺术学...
2 篇 经济学
2 篇 农学
1 篇 教育学
1 篇 军事学

主题

98 篇 pattern recognit...
24 篇 feature extracti...
22 篇 machine learning
18 篇 affective comput...
16 篇 artificial intel...
16 篇 computer imaging...
14 篇 deep learning
14 篇 emotion recognit...
12 篇 neural networks
11 篇 support vector m...
11 篇 pattern classifi...
11 篇 face recognition
11 篇 data mining
10 篇 computer vision
9 篇 information syst...
9 篇 task analysis
9 篇 user interfaces ...
9 篇 training
8 篇 information syst...
8 篇 pattern matching

机构

6 篇 fujian key labor...
6 篇 school of comput...
5 篇 fujian key labor...
4 篇 university of te...
4 篇 university of ch...
4 篇 bournemouth univ...
4 篇 school of inform...
4 篇 gdynia maritime ...
3 篇 friedrich alexan...
3 篇 department of co...
3 篇 institute of hea...
3 篇 johns hopkins un...
3 篇 univ chinese aca...
3 篇 institute of com...
2 篇 fgan-fom researc...
2 篇 dept. of ict maw...
2 篇 foundation for r...
2 篇 pes univ ctr pat...
2 篇 college of compu...
2 篇 institute of ima...

作者

12 篇 wang da-han
6 篇 zhu shunzhi
5 篇 du xia
5 篇 yang jie
4 篇 julie a. jacko
4 篇 de-shuang huang
4 篇 ireneusz czarnow...
4 篇 maier andreas
4 篇 wu yun
4 篇 alfonso mateos c...
3 篇 jianhua tao
3 篇 fotouhi javad
3 篇 akira notsu
3 篇 seiki ubukata
3 篇 katsuhiro honda
3 篇 navab nassir
3 篇 unberath mathias
3 篇 luo bin
3 篇 chen si
2 篇 feng deying

语言

392 篇 英文
4 篇 中文
2 篇 其他

检索条件"任意字段=8th International Conference on Computing and Pattern Recognition, ICCPR 2019"

共 394 条记录，以下是41-50 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：

Haar Cascade Face Detection and Local Binary pattern Histogram Face recognition based Drone 8

Haar Cascade Face Detection and Local Binary Pattern Histogr...

引用

8th international conference on Advanced computing and Communication Systems, ICACCS 2022

作者： Shanthi, K.G. Sesha Vidhya, S. Vishakha, K. Subiksha, S. Srija, K.K. Srinee Mamtha, R. R.M.K College of Engineering and Technology Dept of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9781665408165

Face recognition is a popular technique that uses image processing to identify people's faces. Face recognition is becoming momentous due to the growing populace, which necessitates high security and monitoring systems, as well as the need for self confirmation in the current era, fight in rustic regions, disaster relief, and so on. this study proposes a way to assist the task force to track illicit, missing people and for surveillance employing a face recognition based drone. Haar Cascade is a face detection algorithm that is used to make out faces in images and real-time videos. Local Binary pattern Histogram (LBPH) is used to recognize a person's face. the drone yielded an accuracy of 98 percent in the identification of individuals there by finds significant applications. © 2022 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Accelerated Algorithm for Computation of All Prime patterns in Logical Analysis of Data 8th

Accelerated Algorithm for Computation of All Prime Patterns ...

引用

8th international conference on pattern recognition Applications and Methods (ICPRAM)

作者： Chambon, Arthur Lardeux, Frederic Saubion, Frederic Boureau, Tristan Univ Angers LERIA Angers France Univ Angers UMR1345 IRHS Angers France

ISBN: (纸本)9789897583513

the analysis of groups of binary data can be achieved by logical based approaches. these approaches identify subsets of relevant Boolean variables to characterize observations and may help the user to better understand their properties. In logical analysis of data, given two groups of data, patterns of Boolean values are used to discriminate observations in these groups. In this work, our purpose is to highlight that different techniques may be used to compute these patterns. We present a new approach to compute prime patterns that do not provide redundant information. Experiments are conducted on real biological data.

关键词： Logical Analysis of Data pattern Generation Logical Characterization of Data

来源：评论

学校读者我要写书评

暂无评论

A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN computing 26

A Low-Complexity Approach to Rate-Distortion Optimized Varia...

引用

26th international conference on pattern recognition / 8th international Workshop on Image Mining - theory and Applications (IMTA)

作者： Datta, Parual Ahuja, Nilesh Somayazulu, V. Srinivasa Tickoo, Omesh Intel Labs Bangalore Karnataka India Intel Labs Santa Clara CA USA Intel Labs Hillsboro OR USA

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

Split computing has emerged as a recent paradigm for implementation of DNN-based AI workloads, wherein a DNN model is split into two parts, one of which is executed on a mobile/client device and the other on an edge-server (or cloud). Data compression is applied to the intermediate tensor from the DNN that needs to be transmitted, addressing the challenge of optimizing the rate-accuracy-complexity trade-off. Existing split-computing approaches adopt ML-based data compression, but require that the parameters of either the entire DNN model, or a significant portion of it, be retrained for different compression levels. this incurs a high computational and storage burden: training a full DNN model from scratch is computationally demanding, maintaining multiple copies of the DNN parameters increases storage requirements, and switching the full set of weights during inference increases memory bandwidth. In this paper, we present an approach that addresses all these challenges. It involves the systematic design and training of bottleneck units - simple, low-cost neural networks - that can be inserted at the point of split. Our approach is remarkably lightweight, both during training and inference, highly effective and achieves excellent rate-distortion performance at a small fraction of the compute and storage overhead compared to existing methods.

关键词： Training Tensors Systematics Computational modeling Neural networks Memory management Rate-distortion

来源：评论

学校读者我要写书评

暂无评论

Improving the accuracy of neural networks in analog computing-in-memory systems by analog weight 26

Improving the accuracy of neural networks in analog computin...

引用

26th international conference on pattern recognition / 8th international Workshop on Image Mining - theory and Applications (IMTA)

作者： Dai, Lingjun Zhang, Qingtian Wu, Huaqiang Tsinghua Univ Sch Integrated Circuits Beijing Peoples R China

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

Crossbar-enabled analog computing-in-memory (CACIM) systems can significantly improve the computation speed and energy efficiency of deep neural networks (DNNs). However, an important issue is that the performance of DNNs degrades severely when deploying the DNNs onto the CACIM systems. Because the devices in the CACIM systems have low precision to present the weights, which is caused by the intrinsic variation and high programming overhead. the computational paradigms of the CACIM systems and the digital systems are essentially different. One of the main differences is that the weights are expressed in analog terms, and it has no encoding and decoding process during the computation. We can take advantage of the characteristic of data presentation to get better performance in limited data precision. A generalized quantization method that does not constrain the range of quanta and can obtain less quantization error will be effective in the CACIM systems. For the first time, we introduced a generalized quantization method into CACIM systems and showed superior performance on a series of computer vision tasks, such as image classification, object detection, and semantic segmentation. Using the generalized quantization method, the DNN with 8-level analog weights can outperform the 32-bit networks. With fewer levels, the generalized quantization method can obtain less accuracy loss than other uniform quantization methods.

关键词： Degradation Weight measurement Performance evaluation Quantization (signal) Neural networks Programming Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Projection histogram based human posture recognition

Projection histogram based human posture recognition

引用

8th international conference on Signal Processing

作者： Guo, Ping Miao, Zhenjiang Beijing Jiao Tong Univ Inst Informat Sci Beijing 100044 Peoples R China

ISBN: (纸本)9780780397361

As different posture has different projection histogram pattern,. the projection histogram can be used as one of the features to discriminate different postures. In this paper, a new method using projection histogram for static human posture recognition is proposed. It comprises of three key modules: background subtraction, projection histogram computing and template matching. Comparing with many other methods, our approach is fast, simple and less sensitive to noise. Using our new method, a system is implemented and tested with ten static postures. It can automatically recognize them with high percentage of right decisions.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Neural Network-Based Vehicle and Pedestrian Detection for Video Analysis System 8

Neural Network-Based Vehicle and Pedestrian Detection for Vi...

引用

8th Mediterranean conference on Embedded computing (MECO) / Summer School on Cyber-Physical Systems and Internet-of-things (CPS and IoT)

作者： Babayan, Pavel V. Ershov, Maksim D. Erokhin, Denis Y. RSREU Dept Automat & Informat Technol Control Ryazan Russia

ISBN: (纸本)9781728117393

In our research we compare various neural network architectures that are used for object detection and recognition. In this work vehicles and pedestrians are considered objects of interest. Modern artificial neural networks are able to detect and localize objects of known classes. this allows them to be used in various technical vision systems and video analysis systems. In this paper we compare three architectures (YOLO, Faster R-CNN, SSD) by the following criteria: processing speed, mAP, precision and recall.

关键词： video analysis image processing object detection pattern recognition neural networks machine learning

来源：评论

学校读者我要写书评

暂无评论

Semantic Aware Online Detection of Resource Anomalies on the Cloud 8

Semantic Aware Online Detection of Resource Anomalies on the...

引用

8th IEEE international conference on Cloud computing Technology and Science (CloudCom)

作者： Bhattacharyya, Arnamoy Jandaghi, Seyed Ali Jokar Sotiriadis, Stelios Amza, Cristiana Univ Toronto Dept Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)9781509014453

As cloud based platforms become more popular, it becomes an essential task for the cloud administrator to efficiently manage the costly hardware resources in the cloud environment. Prompt action should be taken whenever hardware resources are faulty, or configured and utilized in a way that causes application performance degradation, hence poor quality of service. In this paper, we propose a semantic aware technique based on neural network learning and pattern recognition in order to provide automated, real-time support for resource anomaly detection. We incorporate application semantics to narrow down the scope of the learning and detection phase, thus enabling our machine learning technique to work at a very low overhead when executed online. As our method runs "life-long" on monitored resource usage on the cloud, in case of wrong prediction, we can leverage administrator feedback to improve prediction on future runs. this feedback directed scheme with the attached context helps us to achieve an anomaly detection accuracy of as high as 98.3% in our experimental evaluation, and can be easily used in conjunction with other anomaly detection techniques for the cloud.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

A New Algorithm for SVM Incremental Learning

A New Algorithm for SVM Incremental Learning

引用

2006 8th international conference on Signal Processing

作者： Xiaodan Wang Chunying Zheng Chongming Wu Wei Wang Department of Computer Engineering Air Force Engineering University

Based on analyzing the relationship between the Karush-Kuhn-Tucker(KKT) conditions of support vector machine and the distribution of the training samples,the possible changes of support vector set

ISBN: (纸本)0780397371

Based on analyzing the relationship between the Karush-Kuhn-Tucker(KKT) conditions of support vector machine and the distribution of the training samples,the possible changes of support vector set

关键词： Support vector machines Support vector machine classification Machine learning Algorithm design and analysis Distributed computing Military computing pattern recognition Machine learning algorithms Kernel Lagrangian functions

来源：评论

学校读者我要写书评

暂无评论

SOCRatES: A Database of Realistic Data for SOurce Camera recognition on Smartphones 8th

SOCRatES: A Database of Realistic Data for SOurce Camera REc...

引用

8th international conference on pattern recognition Applications and Methods (ICPRAM)

作者： Galdi, Chiara Hartung, Frank Dugelay, Jean-Luc EURECOM Dept Digital Secur 450 Route Chappes F-06410 Biot France FH Aachen Dept Multimedia Technol Eupener Str 70 D-52066 Aachen Germany

ISBN: (纸本)9789897583513

SOCRatES: SOurce Camera recognition on Smartphones, is an image and video database especially designed for source digital camera recognition on smartphones. It answers to two specific needs, the need of wider pools of data for the developing and benchmarking of image forensic techniques, and the need to move the application of these techniques on smartphones, since, nowadays, they are the most employed devices for image capturing and video recording. What makes SOCRatES different from all previous published databases is that it is collected by the smartphone owners themselves, introducing a great heterogeneity and realness in the data. SOCRatES is currently made up of about 9.700 images and 1000 videos captured with 103 different smartphones of 15 different makes and about 60 different models. With 103 different devices, SOCRatES is the database for source digital camera identification that includes the highest number of different sensors. In this paper we describe SOCRatES and we present a baseline assessment based on the Sensor pattern Noise computation.

关键词： Sensor pattern Noise PRNU Source Camera Identification Video Smartphone Database

来源：评论

学校读者我要写书评

暂无评论

Real-time pattern recognition for Hand Gesture Based on ANN and Surface EMG 8

Real-time Pattern Recognition for Hand Gesture Based on ANN ...

引用

IEEE 8th Joint international Information Technology and Artificial Intelligence conference (ITAIC)

作者： Yang, Kuo Zhang, Zhen Shanghai Univ Shanghai Sch Mechatron Engn & Automat Shanghai Peoples R China

ISBN: (纸本)9781538681787

Hand gesture recognition has many applications in engineering and medical fields. this paper proposes a real-time hand gesture recognition method using the surface electromyographic (sEMG) signal on the forearm, we apply a sliding window which allow us to observe a segment of the signals. Features are extracted from the signals of each sliding window, and then are inputted into a feed-forward artificial neural network (ANN) classifier which is trained at first. When the number of one hand gesture type of identified features reaches the threshold, it would be considered that the hand gesture is identified. Experiments show that the classification accuracy of real-time systems reaches 96%, and hand gestures can be recognized before they are completed.

关键词： real-time ANN feature extraction hand gesture recognition sEMG

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40页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：