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

6,797 篇 会议
647 册 图书
127 篇 期刊文献

馆藏范围

7,570 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

3,892 篇 工学
- 3,084 篇 计算机科学与技术...
- 1,402 篇 软件工程
- 793 篇 电气工程
- 676 篇 信息与通信工程
- 502 篇 控制科学与工程
- 298 篇 生物工程
- 281 篇 生物医学工程（可授...
- 265 篇 机械工程
- 189 篇 光学工程
- 162 篇 电子科学与技术（可...
- 144 篇 仪器科学与技术
- 140 篇 化学工程与技术
- 59 篇 安全科学与工程
- 45 篇 材料科学与工程（可...
- 36 篇 交通运输工程
1,220 篇 理学
- 671 篇 数学
- 357 篇 物理学
- 333 篇 生物学
- 197 篇 统计学（可授理学、...
- 147 篇 化学
- 105 篇 系统科学
553 篇 管理学
- 314 篇 管理科学与工程(可...
- 255 篇 图书情报与档案管...
- 59 篇 工商管理
273 篇 医学
- 230 篇 临床医学
- 109 篇 基础医学(可授医学...
- 75 篇 药学(可授医学、理...
66 篇 法学
- 62 篇 社会学
51 篇 艺术学
- 49 篇 设计学（可授艺术学...
42 篇 农学
- 39 篇 作物学
21 篇 教育学
19 篇 文学
17 篇 经济学
5 篇 军事学

主题

3,167 篇 pattern recognit...
535 篇 feature extracti...
431 篇 artificial intel...
385 篇 neural networks
297 篇 machine learning
295 篇 data mining
233 篇 face recognition
224 篇 pattern matching
216 篇 support vector m...
203 篇 image segmentati...
194 篇 pattern classifi...
194 篇 computer imaging...
183 篇 computer science
182 篇 local binary pat...
168 篇 computational mo...
160 篇 computer vision
147 篇 computer applica...
147 篇 humans
147 篇 testing
143 篇 training

机构

40 篇 school of comput...
38 篇 national laborat...
25 篇 indian institute...
25 篇 institute of ima...
24 篇 center for resea...
24 篇 computer vision ...
22 篇 institute of ima...
22 篇 university of ch...
21 篇 auckland univers...
21 篇 department of co...
20 篇 city university ...
20 篇 indian statistic...
19 篇 murdoch universi...
19 篇 national laborat...
19 篇 institute of com...
18 篇 king fahd univer...
16 篇 tongji universit...
16 篇 chinese academy ...
15 篇 institute for pa...
14 篇 national center ...

作者

35 篇 yang jie
31 篇 de-shuang huang
25 篇 tieniu tan
23 篇 umapada pal
21 篇 mufti mahmud
19 篇 zohreh doborjeh
19 篇 ryszard tadeusie...
19 篇 m. tanveer
19 篇 andrew chi sing ...
19 篇 kevin wong
19 篇 liang wang
18 篇 ajith abraham
18 篇 maryam doborjeh
17 篇 marcin korytkows...
17 篇 lu hanqing
17 篇 jacek m. zurada
17 篇 leszek rutkowski
16 篇 jie yang
16 篇 zhenan sun
16 篇 shamsuddin siti ...

语言

7,289 篇 英文
216 篇 其他
81 篇 中文

检索条件"任意字段=International Conference of Soft Computing and Pattern Recognition"

共 7572 条记录，以下是1351-1360 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：

A pattern recognition Method for Scene Sketch Images Using Deep Learning and Its Evaluation

A Pattern Recognition Method for Scene Sketch Images Using D...

引用

international Symposium on soft computing and Intelligent Systems (SCIS)

作者： Kengo Oshima Noboru Takagi Kei Sawai Hiroyuki Masuta Tatsuo Motoyoshi Toyama Prefecture Univercity Toyama Japan

ISBN: (数字)9781728197326

ISBN: (纸本)9781728197333

Many studies on handwritten figure recognition have been published so far. For handwritten graphics in the fields of science and engineering, clear drawing rules are often clear, that is the shapes of the elements are predetermined. On the other hand, there is no drawing rule for sketches such as scene sketches; this makes it difficult to design a feature extractor. Based on this background, in recent years, research on recognition models using deep learning for sketch images has been reported. However, the recognition rate of all the previous research results are about 70% or less. Therefore, in this paper, we propose a new CNN model for recognizing landscape sketch images, and verify its effectiveness by computer experiments. Since there is no benchmark data for landscape sketch images, it cannot be compared with the results of previous studies, but the recognition rate of the CNN model proposed here is about 80%, which is higher than that of previous studies.

关键词： Feature extraction Data models Image recognition Computational modeling Support vector machines Tuning Object recognition

来源：评论

学校读者我要写书评

暂无评论

A visual method for ship close encounter pattern recognition based on fuzzy theory and big data intelligence 4

A visual method for ship close encounter pattern recognition...

引用

4th international conference on Big Data Research, ICBDR 2020

作者： Zhao, Liangbin Fu, Xiuju Department of Systems Science Institute of High Performance Computing A∗STAR Singapore Singapore

ISBN: (纸本)9781450387750

As an important application of big data technology in the maritime field, big data driven visualization of ship encounter patterns helps to intuitively understand the risk situation in the water traffic. However traditional methods based on fixed thresholds do not consider the fuzziness of classification on ship encounter situations. We proposed a visual method to visualize the risk situations caused by the interaction between vessel traffic flows in more detail based on fuzzy theory and big data intelligence on large scale AIS data. A case study is conducted to verify the applicability based on the AIS data from Singapore Strait. Visualization results of density in grids show that the proposed method can effectively reflect the ship encounter patterns, which are consistent with the real situation and can show more valuable details for the safety assessment of water traffic. © 2020 ACM.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

A New Bit Plane Specific Longest Repeating pattern Test for Statistical Analysis of Bit Sequences 4th

A New Bit Plane Specific Longest Repeating Pattern Test for ...

引用

4th international conference on soft computing: Theories and Applications, SoCTA 2019

作者： Jangid, Bharat Lal Ratan, Ram Scientific Analysis Group Defence R&D Organization New Delhi India

ISBN: (纸本)9789811540318

Most of the existing randomness tests treat whole bit sequence as a stream of bits in one-dimensional space for analysis. In this paper, a new bit plane specific statistical test for randomness analysis of bit sequences in two-dimensional space is presented. Primary focus of this test is to analyze the length of longest repeating pattern (LRP) in a binary random sequence. A random sequence is converted into matrix of L × L bytes. Then analysis of LRP is done for each row and column of each bit plane of the matrix. Experimentations are carried out on cipher data of four block ciphers, image data, and random alphabetic data of various sizes. It is observed that cipher data exhibits good randomness but image and random alphabetic data exhibits non-randomness in bit planes. The proposed test has the capability to capture the patterns by performing two-dimensional analysis in bit planes which may not be possible to capture by existing NIST statistical tests. It has been shown that sequences accepted as random by NIST suite are rejected by proposed LRP test. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Statistical tests

来源：评论

学校读者我要写书评

暂无评论

Analysis of Project Documentation Based on the Search for Frequent Subgraphs 22

Analysis of Project Documentation Based on the Search for Fr...

引用

22nd international conference on soft computing and Measurements (SCM)

作者： Goryachev, Alexander, V Novakova, Natalie E. St Petersburg Electrotech Univ LETI Dept Comp Aided Design Syst St Petersburg Russia

The problem of the analysis of documentation are considered. Various ways of presenting documentation are described. The task of finding frequent subgraphs is presented. An algorithm for searching for documentation ba... 详细信息

ISBN: (纸本)9781728136028

关键词： documentation document analysis search for frequent subgraphs AprioriGraph algorithm Algorithm pattern Growth Graph frequent subgraph mining algorithms

来源：评论

学校读者我要写书评

暂无评论

pattern Classification of Handwritten Kannada Digits Using Customized CNN 2nd

Pattern Classification of Handwritten Kannada Digits Using C...

引用

2nd international conference on soft computing and Signal Processing, ICSCSP 2019

作者： Upadhye, Gopal D. Kulkarni, U.V. Department of Computer Science and Engineering Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India

ISBN: (纸本)9789811524745

In the area of pattern classification, handwritten digit classification is a challenging problem. Handwritten digits seem different due to writing styles and sizes. There is a wide scope of research on regional languages like Kannada. As Kannada digits symmetric as well as curvy, they are difficult to recognize accurately. Customized convolutional neural network architecture is proposed in this paper for Kannada digits’ classification which are handwritten. This provides automatic learning feature facility of handwritten digit and predicts its class. Layered model of customized CNN architecture is also given which shows flow of working of the proposed method. Large-sized dataset is unavailable for handwritten Kannada digits, so prepared dataset of 20,200 samples. Out of 20,200 total samples, 16,000 samples used for training and the remaining 4200 samples used for testing. The proposed method gives average 93.13% testing accuracy and 91.58% validation accuracy. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Large dataset

来源：评论

学校读者我要写书评

暂无评论

Geometric Numerical Integral Method in Compact Lie Group

Geometric Numerical Integral Method in Compact Lie Group

引用

6th international conference on Intelligent computing and Signal Processing (ICSP)

作者： Chao Liu Shengyi Yang Key Laboratory of Pattern Recognition and Intelligent System of Guizhou Province Guizhou Minzu University Gui Yang China

ISBN: (纸本)9781665447300

Three dimensions special orthogonal group SO (3) is widely used to describe the rotation kinematics of the rigid body without local coordinates, which can avoid rotation singularity and unwinding in traditional methods. Propagating the rotation kinematics in SO (3) with a specific geometric integration method is not only to obtained numerical results with improved qualitative behavior, but also provided more accurate long-time integration results. While many studies have focused on geometric integration algorithms to preserve the geometric structure, this work has the additional objective of studying result accuracy. Integral curves on SO (3) obtained using the third-order Crouch-Grossman Lie group method are compared with numerical results using the third-order RKMK algorithms, the exponential coordinates method, and the simple projection method. Results show that the use of the Crouch-Grossman Lie group method better preserves the geometric structure of SO (3) for the larger time steps considered. It is also found that the third-order Crouch-Grossman algorithm is more accurate than the RKMK except for the smallest time step used.

关键词： Heuristic algorithms Signal processing algorithms Kinematics Signal processing

来源：评论

学校读者我要写书评

暂无评论

Over-the-Air Radar Emitter Signal Classification Based on SDR

Over-the-Air Radar Emitter Signal Classification Based on SD...

引用

6th international conference on Intelligent computing and Signal Processing (ICSP)

作者： Yan Xia Zhiyuan Ma Zhi Huang School of Electronic Engineering Naval University of Engineering Wuhan China

ISBN: (纸本)9781665447300

At present, in the field of radar emitter classification, theoretical simulation is mostly used to carry out algorithm research. However, there are few schemes to study signal classification in real electromagnetic environment using actual hardware. Therefore, this paper proposes a radar emitter classification scheme based on HackRF software Defined Radio (SDR) and deep learning to solve the problem of weak engineering practice. Firstly, the GNU Radio development environment is used to realize the integration design of real space signal transceiver and time-frequency analysis algorithm application on HackRF hardware platform. Then, a classification model with 11 layers network is constructed to automatically extract the deep features of intra-pulse signal time-frequency image. Finally, the classification performance of eight kinds of signals in real electromagnetic environment is tested. The total recognition accuracy of this scheme is more than 83% under 6dB low Signal-to-Noise Ratio (SNR), which proves the effectiveness of the scheme, and provides an important basis for practical engineering application in the future.

关键词： Time-frequency analysis Spaceborne radar software algorithms pattern classification Feature extraction Hardware Radar signal processing

来源：评论

学校读者我要写书评

暂无评论

LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images 23rd

LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to ...

引用

Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images Challenge, ABCs 2020, Learn2Reg Challenge, L2R 2020 and Thyroid Nodule Segmentation and Classification in Ultrasound Images Challenge, TN-SCUI 2020 held in conjunction with 23rd international conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2020

作者： Chen, Huai Song, Shaoli Wang, Xiuying Wang, Renzhen Meng, Deyu Wang, Lisheng Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai200240 China Department of Nuclear Medicine Fudan University Shanghai Cancer Center Shanghai China School of Computer Science The University of Sydney Sydney Australia School of Mathematics and Statistics Xi’an Jiaotong University Xi’an China

ISBN: (纸本)9783030718268

The thyroid nodule is quickly increasing worldwide and the thyroid ultrasound is the key tool for the diagnosis of it. For the subtle difference between malignant and benign nodules, segmenting lesions is the crucial preliminary step for diagnosis. In this paper, we propose a low-resolution-to-high-resolution segmentation framework for TN-SCUI2020 challenge to alleviate the workload of clinicians and improve the efficiency of diagnosis. Specifically speaking, in order to integrate multi-scale information, several low-resolution segmenting results are obtained firstly and combined with a high-resolution image to refine them and obtain high-resolution results. Secondly, iterative-transfer is proposed to effectively initialize network based on previous trained one on small-scale images. Finally, ensemble refinement is introduced to utilize multiple models to refine the segmentation again. Experimental results showed the effectiveness of the proposed framework. And we won the 2nd place in the segmentation task of TN-SCUI2020. © 2021, Springer Nature Switzerland AG.

关键词： Ultrasonics

来源：评论

学校读者我要写书评

暂无评论

Evaluating the impact of polygonal representations on mass classification 27

Evaluating the impact of polygonal representations on mass c...

引用

27th international conference on Systems, Signals and Image Processing (IWSSIP)

作者： Hirama, Rodrigo S. Pedro, Ricardo W. D. Graciliano, Vinicius S. K. Machado-Lima, Ariane Nunes, Fatima L. S. Univ Sao Paulo Escola Artes Ciencias & Humanidades Lab Comp Applicat Hlth Care Sao Paulo Brazil Univ Sao Paulo Escola Politecn Sao Paulo Brazil

ISBN: (数字)9781728175393

ISBN: (纸本)9781728175393

Breast cancer is one of the most severe types of cancer and responsible for about 15% of all women death related to cancer worldwide. Mammography is the most reliable and recommended approach to help early detection of breast cancer, since this technique can detect the disease in its asymptomatic phase. Different Computer-Aided Diagnosis (CAD) systems have been used to aid in the diagnosis serving a second opinion to the physicians. These systems extract features from masses found in mammograms, which compose inputs to the classifiers used in CAD systems. The main contribution of this study is the evaluation of different polygonal representations on the phase of feature extraction. In this context, two different polygonal models were tested with different parameters to represent boundaries of masses. Artificial neural networks, support vector machines and k-nearest neighbors were used to discriminate masses as benign and malignant achieving accuracy of 85%, 84% and 85%, respectively.

关键词： breast cancer diagnosis mammography pattern recognition mass classification polygonal representation

来源：评论

学校读者我要写书评

暂无评论

Palm Vein Age and Gender Estimation Using Center Symmetric-Local Binary pattern 12th

Palm Vein Age and Gender Estimation Using Center Symmetric-L...

引用

international Joint conference: 12th international conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th international conference on European Transnational Education, ICEUTE 2019

作者： Damak, Wafa Trabelsi, Randa Boukhris Masmoudi, Alima Damak Sellami, Dorra University of Sfax Sfax Engineering School Sfax Tunisia

ISBN: (纸本)9783030200046

Many investigations on hand veins modality have been done in the literature for identification and recognition systems. However, researches on age and gender estimation by hand veins are very limited and very preliminary. Our contribution in this paper is to propose a system able to estimate the age and the gender of a person from its hand veins. Accordingly, we are interested in studying the discriminating features for the prediction of a person’s age and gender. In fact, hand vein images are very rich in orientation and contour characteristics and they are faced with poor quality and illumination variation. Hence, we investigate texture analysis invariant to illumination as well as venous pattern gradient information determination by Center Symmetric-Local Binary patterns (CSLBP) descriptor. Since Region Of Interest (ROI) extraction is important in a biometric system, we aim to cover the whole informative region of hand veins by our dynamic ROI extraction method. Our experimental study is based on palm vein VERA database. As considered database has a class imbalance problem, we remediate this problem by using Weighted K-Nearest Neighbor (WKNN). The obtained performance metrics demonstrate the effectiveness of our proposed system for gender classification and age estimation respectively: 95.8% and 94.2% for F-measure, 95.9% and 94.4% for G-mean. © 2020, Springer Nature Switzerland AG.

关键词： Extraction

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 << < 132 133 134 135 136 137 138 139 140 141 > >>

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：