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

2,119 篇 会议
47 篇 期刊文献
28 册 图书

馆藏范围

2,194 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,499 篇 工学
- 1,132 篇 计算机科学与技术...
- 655 篇 软件工程
- 274 篇 电气工程
- 252 篇 信息与通信工程
- 141 篇 生物医学工程（可授...
- 135 篇 控制科学与工程
- 133 篇 光学工程
- 104 篇 生物工程
- 93 篇 机械工程
- 66 篇 仪器科学与技术
- 61 篇 电子科学与技术（可...
- 59 篇 材料科学与工程（可...
- 55 篇 化学工程与技术
- 33 篇 建筑学
- 33 篇 土木工程
- 24 篇 力学（可授工学、理...
- 20 篇 安全科学与工程
664 篇 理学
- 348 篇 数学
- 207 篇 物理学
- 177 篇 生物学
- 95 篇 统计学（可授理学、...
- 59 篇 化学
- 33 篇 系统科学
206 篇 管理学
- 137 篇 图书情报与档案管...
- 79 篇 管理科学与工程(可...
- 25 篇 工商管理
140 篇 医学
- 132 篇 临床医学
- 49 篇 基础医学(可授医学...
- 31 篇 药学(可授医学、理...
21 篇 法学
- 21 篇 社会学
20 篇 艺术学
11 篇 教育学
9 篇 经济学
9 篇 农学
2 篇 文学
1 篇 军事学

主题

635 篇 pattern recognit...
92 篇 feature extracti...
60 篇 pattern matching
59 篇 local binary pat...
59 篇 neural networks
59 篇 face recognition
54 篇 data mining
41 篇 image segmentati...
40 篇 pattern recognit...
40 篇 machine learning
40 篇 character recogn...
37 篇 shape
36 篇 pattern analysis
35 篇 image processing
34 篇 support vector m...
34 篇 image recognitio...
33 篇 bioinformatics
33 篇 computer vision
32 篇 image analysis
31 篇 artificial intel...

机构

13 篇 national laborat...
6 篇 chinese acad sci...
5 篇 pattern recognit...
5 篇 chinese acad sci...
5 篇 univ windsor sch...
5 篇 university of to...
5 篇 chinese academy ...
4 篇 university colle...
4 篇 pattern recognit...
4 篇 institute of ima...
4 篇 the hebrew unive...
4 篇 the university o...
4 篇 sorbonne univers...
4 篇 eurecom biot
4 篇 national lab of ...
4 篇 key laboratory o...
4 篇 école centrale d...
4 篇 national institu...
4 篇 computer vision ...
3 篇 institute of ima...

作者

11 篇 ngom alioune
9 篇 ma songde
8 篇 li stan z.
8 篇 suen ching y.
6 篇 c.y. suen
6 篇 lei zhen
6 篇 suen c.y.
5 篇 lu hanqing
5 篇 wang wei
5 篇 duin robert p. w...
5 篇 anon
5 篇 liao shengcai
5 篇 kropatsch walter...
4 篇 leo joskowicz
4 篇 li yifeng
4 篇 liu cheng-lin
4 篇 hagras hani
4 篇 diana mateus
4 篇 song de ma
4 篇 maria a. zuluaga

语言

2,150 篇 英文
36 篇 其他
11 篇 中文

检索条件"任意字段=3rd IAPR International Conference on Pattern Recognition in Bioinformatics"

共 2194 条记录，以下是491-500 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：

Dogs Animal recognition system in iot environment based on orthogonal statistical adapted local binary pattern 3rd

Dogs Animal recognition system in iot environment based on o...

引用

3rd international conference on Advanced Intelligent Systems and Informatics, AISI 2017

作者： Mohamed, Abdallah A. Ibrahem, Hani M. Dabour, Walid A. Hassanien, Aboul Ella Department of Mathematics Faculty of Science Menoufia University Shebin El-Koom Egypt Department of Information Technology Faculty of Computers and Information Cairo University Cairo Egypt Cairo Egypt

ISBN: (纸本)9783319648606

The Internet of Things (IoT) is gaining more importance in our modern life because of its wide range of applications. In this paper, we propose a novel dog recognition system for recognizing dogs from camera images. The proposed technique is based on a new definition to the classical Local Binary pattern (LBP). In this definition, the value of each pixel changes according to its weight in a predetermined block size of an image. The new central pixel value thresholds its neighborhood is creating a new pixel value for the central pixel. To reduce the dimension of the new definition histogram we consider only the orthogonal pixels in building the new histogram. Finally, the classification accuracy is computed using the nearest neighbor classifier with Chi-square as a dissimilarity measure. Experiments conducted on a data set of 17 different classes of dogs;show that the proposed system performs better than traditional methods (single scale) LBP and Adaptive Local Binary pattern (ALBP), Statistical Adaptive Local Binary pattern (SALBP) regarding accuracy. © 2018, Springer international Publishing AG.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

Multi-factor pattern recognition method of rockburst in coal mines 3rd

引用

3rd international conference on Rock Dynamics and Applications, ROCDYN-3 2018

作者： Zhang, H.W. Li, Y.P. Zhao, X.Z. Chen, J.Q. Ma, L. Mining Institute Liaoning Technical University China Shenhua Xinjiang Energy Co. Ltd China Fuxin Gongda Mining Technology Limited Company China

ISBN: (纸本)9780815396673

Rockburst is one of the most serious dynamic disasters in coal mine. Controlling and prevention of rockburst includes four aspects: risk prediction, monitoring and early warning, comprehensive prevention measures and personnel protection. Risk prediction is the basis of controlling and prevention of rockburst. Based on geological dynamic zoning theory, under consideration of geological formation, tectonic movement, in-situ stress distribution and energy accumulation, this paper establishes one geological dynamic evaluation index system. Using multi-factor discrimination and sub-unit probabilistic prediction technologies, the risk of rockburst in different mining areas can be determined accordingly, the mining areas can be divided into dangerous area, threat area and non-hazardous area. Finally, the optimization plan and comprehensive prevention and control technology system of the coal mine can be established. The research results have been applied to the prevention and control of coal mine rockburst in China successfully. © 2018 Taylor & Francis Group, London.

关键词： Coal mines

来源：评论

学校读者我要写书评

暂无评论

A 3D Dual Path U-Net of Cancer Segmentation Based on MRI 3

A 3D Dual Path U-Net of Cancer Segmentation Based on MRI

引用

3rd IEEE international conference on Image, Vision and Computing (ICIVC)

作者： He, Yu Yu, Xi Liu, Chang Zhang, Jian Hu, Ke Zhu, Hong Chao Chengdu Univ Coll Informat Sci & Engn Chengdu Sichuan Peoples R China Chengdu Univ Key Lab Pattern Recognit & Intelligent Informat P Chengdu Sichuan Peoples R China Chengdu Univ Res Inst Big Data Chengdu Sichuan Peoples R China Sichuan Normal Univ Sch Phys & Elect Engn Chengdu Sichuan Peoples R China

ISBN: (纸本)9781538649916

Nasopharyngeal Carcinoma (NPC) is one of the most common malignant tumors in China. However, the cancer's region is subtle, variability and irregular. In the traditional diagnostic way, clinicians' diagnosis relies on manual delineations which are time consuming and require rich prior experience. Recently, the deep learning architecture of U-Net and Dual Path Network (DPN) apply well in the biomedical segmentation and nature scene respectively. However, U-Net cannot extract abundance texture information from the data and DPN cannot utilize the information of shallow layer and deep layer closely. Moreover, both of them are applied on the slices of images instead of 3D images directly, which discard the anatomic context in 3D spatial domain. Consequently, this paper proposed a novel 3D convolutional network-Dual Path U-Network (DPU) which integrates U-Net and DPN to segment the cancer's region of NPC automatically. The experiment on the MRI dataset of NPC patients has shown that the DPU is more successful than the corresponding 3D version of U-Net and DPN in the field of 3D biomedical image segmentation automatically.

关键词： 3D convolutional neural networks image segmentation magnetic resoance imaging

来源：评论

学校读者我要写书评

暂无评论

More Efficient Filtration Method for Big Data Order-Preserving Matching 1

引用

3rd international conference on Human Centered Computing (HCC)

作者： Jiang, Wenchao Lin, Dexi Lin, Sui Li, Chuanjie Sun, Aobing Guangdong Univ Technol Sch Comp Sci & Technol Guangzhou 510006 Guangdong Peoples R China

ISBN: (数字)9783319745213

ISBN: (纸本)9783319745213;9783319745206

Data matching and retrieval aims at finding out similar substrings with the pattern P in the given data set T. This problem has wide applications in big data analysis. A liberalized verification rule is proposed first, and then a similarity computing based order preserving matching method is presented. Theory analysis indicates our method runs in linear. Furthermore, the experimental results show that our method can improve effectively the precision ratio and the recall ratio. More qualified matching results can be detected compared with the state of the art of this problem.

关键词： pattern recognition Order-preserving matching Similarity retrieval

来源：评论

学校读者我要写书评

暂无评论

ACM international conference Proceeding Series

ACM International Conference Proceeding Series

引用

3rd international conference on Multimedia Systems and Signal Processing, ICMSSP 2018

ISBN: (纸本)9781450364577

The proceedings contain 29 papers. The topics discussed include: neighbor area based rearrangement pixel granularity template matching for lossy screen content video;a local texture refinement and adaptive background construction method for free viewpoint video;an effective framework for person re-identification in video surveillance;a locality-aware task scheduling algorithm for video transcoding over heterogeneous MapReduce cluster;handwritten digits recognition by using CNN Alex-net pre-trained for large-scale object image dataset;haze removal algorithm using color attenuation prior and guided filter;an effective tread pattern image classification algorithm based on transfer learning;understanding indoor scene: spatial layout estimation scene classification, and object detection;gradual shot detection employing automatic white balance method;a speech enhancement scheme based on bone-conducted speech;and the monitoring and early-warning of atmospheric propagation effects in ka-band.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Novel Web Service Based Fingerprint Identification Using Steganography and Xml Mining 3

Novel Web Service Based Fingerprint Identification Using Ste...

引用

3rd international conference on Recent Advancements and Effectual Researches in Engineering Science and Technology, RAEREST 2018

作者： Praseetha, V.M. Dattagupta, Ayush Suma, R. Vadivel, S. Department of Computer Science BITS Pilani International Academic City Dubai United Arab Emirates Department of Computer Science SJCET Choondacherry Pala Kottayam India

Fingerprint recognition has been considered as the most popular and reliable system for web based person authentication. Fingerprints have unique patterns that can be used to distinguish one fingerprint from another. The fingerprint pattern can be used to enhance the security of existing authentication system by adding a layer of biometric security. In this paper we propose a novel algorithm that is able to distinguish the pattern of one fingerprint from the pattern of another fingerprint using XML mining. But the valuable fingerprint data of a user is at risk as it can be hacked during web based authentication and the data can be easily compromised. Therefore we further enhance the security by extracting the fingerprint features into an xml file and embed the same into an image file using steganography. The encoded file can be used for safe transmission of fingerprints across the web for bio metric authentication. Our proposed system uses a novel method in which xml mining is applied at the server side to make the fingerprint identification faster. © Published under licence by IOP Publishing Ltd.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

1st international Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and 3rd international Workshop on Preterm, Perinatal, and Paediatric Image Analysis, PIPPI 2018 Held in Conjunction with 21st international conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018

1st International Workshop on Data Driven Treatment Response...

引用

1st international Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and 3rd international Workshop on Preterm, Perinatal, and Paediatric Image Analysis, PIPPI 2018 Held in Conjunction with 21st international conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018

ISBN: (纸本)9783030008062

The proceedings contain 17 papers. The special focus in this conference is on Data Driven Treatment Response Assessment. The topics include: Segmentation of pelvic vessels in pediatric MRI using a patch-based deep learning approach;multi-view image reconstruction: Application to fetal ultrasound compounding;echoFusion: Tracking and reconstruction of objects in 4D freehand ultrasound imaging without external trackers;better feature matching for placental panorama construction;Combining deep learning and multi-atlas label fusion for automated placenta segmentation from 3DUS;LSTM spatial co-transformer networks for registration of 3D fetal US and MR brain images;automatic and efficient standard plane recognition in fetal ultrasound images via multi-scale dense networks;Paediatric liver segmentation for low-contrast CT images;Automatic segmentation of thigh muscle in longitudinal 3D T1-weighted magnetic resonance (MR) images;detecting bone lesions in multiple myeloma patients using transfer learning;Quantification of local metabolic tumor volume changes by registering blended PET-CT images for prediction of pathologic tumor response;optimizing external surface sensor locations for respiratory tumor motion prediction;Segmentation of fetal adipose tissue using efficient CNNs for portable ultrasound;automatic shadow detection in 2D ultrasound images;multi-channel groupwise registration to construct an ultrasound-specific fetal brain atlas;investigating brain age deviation in preterm infants: A deep learning approach.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Neural Network Based Architecture for Fatigue Detection Based on the Facial Action Coding System 3rd

Neural Network Based Architecture for Fatigue Detection Base...

引用

3rd EAI international conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures (Fabulous)

作者： Gavrilescu, Mihai Vizireanu, Nicolae Univ Politehn Bucuresti Dept Telecommun 1-3 Iuliu Maniu Blvd Bucharest 06107 6 Romania

ISBN: (纸本)9783319922133;9783319922126

We present a novel non-invasive neural network based three layered system for detecting fatigue by analyzing facial expressions evaluated using the Facial Action Coding System. We analyze 16 Action Units pertaining to eye and mouth regions of the face. We define an Action Units map containing Action Unit intensity levels for each frame in the video sequence and we analyze this map in a pattern recognition task via a feed-forward neural network. We show that emotion-induced frontal face recordings offer more information in the training stage, while for testing stage the random dataset can be used with no major impact on accuracy, specificity and sensitivity. We obtain over 88% accuracy in intra-subject tests and over 83% for inter-subject tests and we show that our system surpasses the state-of-the-art in terms of accuracy, specificity, sensitivity and response time.

关键词： Neural networks e-health Bioengineering Facial expression recognition Image processing

来源：评论

学校读者我要写书评

暂无评论

6th international conference on Context-Aware Systems and Applications, ICCASA 2017 and 3rd international conference on Nature of Computation and Communication, ICTCC 2017

6th International Conference on Context-Aware Systems and Ap...

引用

6th international conference on Context-Aware Systems and Applications, ICCASA 2017 and 3rd international conference on Nature of Computation and Communication, ICTCC 2017

ISBN: (纸本)9783319778174

The proceedings contain 22 papers. The special focus in this conference is on . The topics include: The Context-Aware Calculating Method in Language Environment Based on Hedge Algebras Approach to Improve Result of Forecasting Time Series;algebraic Operations in Fuzzy Object-Oriented Databases Based on Hedge Algebras;context-Adaptive Values-Based Games for the Young: Responsible Decision Making for a Sustainable World;applying and Deploying Cyber Physical System in Monitoring and Managing Operations Under Mines and Underground Works;the Method of Maintaining Data Consistency in Allocating Resources for the P2P Network Model;Fragmentation in Distributed Database Design Based on KR Rough Clustering Technique;architectural Framework for Context Awareness and Health Conscious Applications on Mobile Devices;holistic Personas and the Five-Dimensional Framework to Assist Practitioners in Designing Context-Aware Accounting Information System e-Learning Applications;abnormal Behavior Detection Based on Smartphone Sensors;A Context Adaptive Framework for IT Governance, Risk, Compliance and Security;An Effective of Data Organizing Method Combines with Naïve Bayes for Vietnamese Document Retrieval;an Effective Time Varying Delay Estimator Applied to Surface Electromyographic Signals;the Optimal Solution of Communication Resource Allocation in Distributed System Integrated on Cloud Computing;hybrid Classifier by Integrating Sentiment and Technical Indicator Classifiers;visualizing Space-Time Map for Bus;generation of Power State Machine for Android Devices;modeling Self-adaptation - A Possible Endeavour?;enhancement of Wu-Manber Multi-pattern Matching Algorithm for Intrusion Detection System;goal-Capability-Commitment Based Context-Aware Collaborative Adaptive Diagnosis and Compensation;traffic Incident recognition Using Empirical Deep Convolutional Neural Networks Model.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Learning gait parameters for locomotion in virtual reality systems 2nd

Learning gait parameters for locomotion in virtual reality s...

引用

2nd international Workshop on Understanding Human Activities Through 3D Sensors, UHA3DS 2016 Held in Conjunction with the 23rd international conference on pattern recognition, ICPR 2016

作者： Zhao, Jingbo Allison, Robert S. Department of Electrical Engineering and Computer Science York University 4700 Keele Street TorontoONM3J 1P3 Canada

ISBN: (纸本)9783319918624

Mechanical repositioning is a locomotion technique that uses a mechanical device (i.e. locomotion interface), such as treadmills and pedaling devices, to cancel the displacement of a user for walking on the spot. This technique is especially useful for virtual reality (VR) systems that use large-scale projective displays for visualization. In this paper, we present a machine learning approach for developing a mechanical repositioning technique based on a 1-D treadmill for interacting with a unique new large-scale projective display, named as the Wide-Field Immersive Stereoscopic Environment (WISE). We also assessed the usability of the proposed approach through a novel user study that asked participants to pursue a rolling ball at variable speed in a virtual scene. Our results show that participants differ in their ability to carry out the task. We provide an explanation for the variable performance of the participants based on the locomotion technique. © 2018, Springer international Publishing AG, part of Springer Nature.

关键词： Stereo image processing

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220页 << < 46 47 48 49 50 51 52 53 54 55 > >>

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：