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

1,288 篇 会议
82 册 图书
36 篇 期刊文献

馆藏范围

1,406 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

852 篇 工学
- 650 篇 计算机科学与技术...
- 356 篇 软件工程
- 201 篇 电气工程
- 139 篇 信息与通信工程
- 104 篇 控制科学与工程
- 93 篇 生物医学工程（可授...
- 88 篇 生物工程
- 50 篇 光学工程
- 33 篇 电子科学与技术（可...
- 31 篇 机械工程
- 31 篇 化学工程与技术
- 26 篇 仪器科学与技术
- 13 篇 土木工程
- 12 篇 交通运输工程
- 11 篇 材料科学与工程（可...
- 11 篇 动力工程及工程热...
- 11 篇 建筑学
378 篇 理学
- 184 篇 数学
- 137 篇 物理学
- 103 篇 生物学
- 60 篇 统计学（可授理学、...
- 31 篇 化学
- 24 篇 系统科学
131 篇 管理学
- 80 篇 图书情报与档案管...
- 51 篇 管理科学与工程(可...
- 17 篇 工商管理
82 篇 医学
- 64 篇 临床医学
- 44 篇 基础医学(可授医学...
- 21 篇 药学(可授医学、理...
15 篇 教育学
- 12 篇 教育学
12 篇 农学
9 篇 法学
6 篇 文学
4 篇 艺术学
2 篇 经济学

主题

513 篇 pattern recognit...
75 篇 feature extracti...
60 篇 artificial intel...
43 篇 neural networks
37 篇 local binary pat...
36 篇 machine learning
35 篇 training
34 篇 computer imaging...
33 篇 face recognition
31 篇 pattern matching
29 篇 accuracy
28 篇 optical pattern ...
25 篇 support vector m...
25 篇 deep learning
25 篇 bioinformatics
24 篇 image processing
23 篇 image recognitio...
23 篇 image processing...
22 篇 data mining
21 篇 robustness

机构

15 篇 national laborat...
7 篇 computer vision ...
6 篇 institute of ima...
6 篇 fujian key labor...
6 篇 school of comput...
5 篇 fujian key labor...
5 篇 school of comput...
5 篇 school of inform...
5 篇 national key lab...
5 篇 faculty of compu...
4 篇 ist nazl fis nuc...
4 篇 tongji universit...
4 篇 ist nazl fis nuc...
4 篇 univ chicago il ...
4 篇 joint inst nucl ...
3 篇 china research a...
3 篇 university of er...
3 篇 indian statistic...
3 篇 indian institute...
3 篇 pattern recognit...

作者

13 篇 wang da-han
9 篇 pal umapada
7 篇 zhu shunzhi
6 篇 de-shuang huang
6 篇 maji pradipta
6 篇 chaudhuri b.b.
5 篇 du xia
5 篇 zong chengqing
5 篇 wu yun
5 篇 askar hamdulla
5 篇 shivakumara pala...
5 篇 lu tong
4 篇 glagolev v
4 篇 julie a. jacko
4 篇 maier andreas
4 篇 nakaya t
4 篇 hankiz yilahun
4 篇 shochet m
4 篇 giannetti p
4 篇 speer t

语言

1,390 篇 英文
10 篇 其他
6 篇 中文

检索条件"任意字段=5th International Conference on Pattern Recognition in Bioinformatics"

共 1406 条记录，以下是301-310 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：

17th international Symposium on Neural Networks, ISNN 2020

17th International Symposium on Neural Networks, ISNN 2020

引用

17th international Symposium on Neural Networks, ISNN 2020

ISBN: (纸本)9783030642204

the proceedings contain 24 papers. the special focus in this conference is on Neural Networks. the topics include: Spark Parallel Acceleration-Based Optimal Scheduling for Air Compressor Group;a Visually Impaired Assistant Using Neural Network and Image recognition with Physical Navigation;edge Information Extraction of Overlapping Fiber Optical Microscope Imaging Based on Modified Watershed Algorithm;contourRend: A Segmentation Method for Improving Contours by Rendering;a Quantum-Inspired Genetic K-Means Algorithm for Gene Clustering;supply Chain Financing Model with Data Analysis Under the third-Party Partial Guarantee;on Position and Attitude Control of Flapping Wing Micro-aerial Vehicle;pattern recognition Based on an Improved Szmidt and Kacprzyk’s Correlation Coefficient in Pythagorean Fuzzy Environment;adaptive Gaussian Noise Injection Regularization for Neural Networks;imputation of Incomplete Data Based on Attribute Cross Fitting Model and Iterative Missing Value Variables;deep Point Cloud Odometry: A Deep Learning Based Odometry with 3D Laser Point Clouds;alTwo: Vehicle recognition in Foggy Weather Based on Two-Step recognition Algorithm;semantic Modulation Based Residual Network for Temporal Language Queries Grounding in Video;parameters Identification of Solar Cells Based on Classification Particle Swarm Optimization Algorithm;preface;robust Graph Regularized Non-negative Matrix Factorization for Image Clustering;Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM);an Efficient Method of Advertising on Online Social Networks;Detecting Apples in Orchards Using YOLOv3 and YOLOv5 in General and Close-Up Images;dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization;a Neural Network for Distributed Optimization over Multiagent Networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Wrist hand vein recognition using local line binary pattern (LLBP) 5

Wrist hand vein recognition using local line binary pattern ...

引用

5th international conference on Science and Technology, ICST 2019

作者： Achban, Aspian Nugroho, Hanung Adi Nugroho, Prapto Universitas Gadjah Mada Department of Electrical and Information Engineering Yogyakarta Indonesia

ISBN: (纸本)9781728123691

the biometrics recognition system is now widely applied in various fields such as security systems and employee attendance. However, there are some weaknesses that the recognition system has, so that new biometrics recognition objects are developed, namely recognition based on the wrist hand vein image. Some feature extraction methods that have been used in vascular-based recognition systems such as Dense-LBP, RBF Network, Multi-Layer Perceptron (MLP) and Support Vector Machine (SVM) and Hessian-based result in poor accuracy, so that this study tries to apply the Local Line Binary pattern (LLBP) method in the feature extraction stage because based on previous research, the Local Line Binary pattern (LLBP) method is able to process the image at the stage feature extraction very well. the results of individual recognition experiments using the LLBP method were carried out using 50 individual data from datasets taken directly using infrared cameras, resulting an accuracy of 96.50%. Accuracy obtained is influenced by the quality of the dataset used and in this study, it shows that the proposed LLBP method has good capability in individual recognition systems. © 2019 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Robust Person Identification based on DTW Distance of Multiple-Joint Gait pattern 5th

Robust Person Identification based on DTW Distance of Multip...

引用

5th international conference on Information Systems Security and Privacy (ICISSP)

作者： Mori, Takafumi Kikuchi, Hiroaki Meiji Univ Grad Sch Adv Math Sci Tokyo 1648525 Japan Meiji Univ Sch Interdisciplinary Math Sci Tokyo 1648525 Japan

ISBN: (纸本)9789897583599

Gait information can be used to identify and track persons. this work proposes a new gait identification method aggregating multiple features observed by a motion capture sensor and evaluates the robustness against obstacles in walking. the simplest gait identification is to use gait statistics, but these are not a significant feature with regard to identifying people accurately. Hence, in this work, we use the dynamic time warping (DTW) algorithm to calculate distances of gait sequences. DTW is a pattern-matching algorithm mainly used in speech recognition. It can compare two sets of time series data, even when they have different lengths. We also propose an optimal feature integration method for DTW distances. For evaluating the proposed method, we developed a prototype system and calculated the equal error rate (EER) using 31 subjects. As a result, we clarified that the EER of the proposed method is 0.036 for normal walking, and that it is robust to some obstacles in walking.

关键词： Gait Biometrics DTW Person Identification

来源：评论

学校读者我要写书评

暂无评论

Research on Procedure pattern recognition Method Based on Conditional Constraints

Research on Procedure Pattern Recognition Method Based on Co...

引用

international conference on Computers, Communications, and Systems (ICCCS)

作者： Chunlan Jiao Jianbin Liu Department of Computer Technology Beijing Information Science &Technology University Beijing China

ISBN: (数字)9781728161365

ISBN: (纸本)9781728161372

there are a large number of reusable patterns in the software development process. these patterns are a summary of the experience of solving some problems in the software development process. Using these patterns can improve the efficiency of software development. this paper proposes a method of pattern recognition based on conditional constraints, which provides a feasible idea for procedure pattern recognition. this method uses the process blueprint tool to preprocess the Java source code, analyzes the structural characteristics of the process pattern and the variable reference position relationship characteristics, and uses regular expressions to construct feature matching rules. this paper verifies the accuracy and effectiveness of the procedure pattern recognition method based on conditional constraints by testing the procedure pattern examples.

关键词： pattern matching Tools Software Java Keyboards Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Jamming pattern recognition Using Spectrum Waterfall: A Deep Learning Method 5

Jamming Pattern Recognition Using Spectrum Waterfall: A Deep...

引用

5th IEEE international conference on Computer and Communications, ICCC 2019

作者： Cai, Yuan Shi, Kai Song, Fei Xu, Yifan Wang, Ximing Luan, Heyu Army Engineering University of PLA College of Communications Engineering Nanjing China PLA 31121 Troops Nanjing China

ISBN: (纸本)9781728147437

It is very important for communication equipment to realize the recognition and prediction of jamming signals in a short time. In the communication environment with variable jamming mode and noise, it is very difficult to achieve rapidly jamming recognition. To solve this problem, this paper constructs a spectrum waterfall containing white gaussian noise signals, designs a jamming pattern recognition method based on deep learning, and realizes rapid recognition of jamming patterns and important parameters. Simulation results show that the training process of this method has considerable accuracy and the test process has high recognition rate. © 2019 IEEE.

关键词： Jamming

来源：评论

学校读者我要写书评

暂无评论

Evidential KNN-based Performance Monitoring Method for PID Control System

Evidential KNN-based Performance Monitoring Method for PID C...

引用

international conference on Mechanical, Control and Computer Engineering (ICMCCE)

作者： Ming Xu Peihong Wang School of Energy and Environment Southeast University Nanjing China

It is interesting and challenging to monitor the performance of closed-loop systems to refine the tuning of a controller implemented in practice. this paper intends to propose a new pattern recognition rule based method in the framework of D-S evidence theory to monitor the performance of proportional- integral-derivative (PID) controller. Based on some priori training patterns explored from three typical responses of the controlled systems, the evidential K-Nearest Neighbor (EKNN) classifier is utilized to recognize the underlying patterns of the closed-loop systems controlled by PID controller online. In contrast to some existing methods, our proposed method provides an insight of monitoring control performance from viewpoint of imprecision and uncertainty. More interestingly, the proposed method uses a simple but in nature one synchronized index instead of multiple performance indexes that have been commonly used. Some simulations validate our conclusions.

关键词： Training PI control pattern recognition Performance analysis Closed loop systems Synchronization PD control

来源：评论

学校读者我要写书评

暂无评论

Multi-view Discriminant Analysis for Dynamic Hand Gesture recognition 5th

Multi-view Discriminant Analysis for Dynamic Hand Gesture Re...

引用

5th Asian conference on pattern recognition,ACPR 2019

作者： Doan, Huong-Giang Tran, thanh-Hai Vu, Hai Le, thi-Lan Nguyen, Van-Toi Dinh, Sang Viet Nguyen, thi-Oanh Nguyen, thi-thuy Nguyen, Duy-Cuong Control and Automation Faculty Electric Power University Hanoi Viet Nam International Research Institute MICA Hanoi University of Science and Technology Hanoi Viet Nam Telecommunications Institute of Technology Ho Chi Minh City Viet Nam Hanoi University of Science and Technology Hanoi Viet Nam VietNam National University Agriculture Hanoi Viet Nam Panasonic R&D Center Hanoi Viet Nam

ISBN: (纸本)9789811536502

Although there have been attempts to tackle the problem of hand gesture recognition "in-the-wild", deployment of such methods in practical applications still face major issues such as view point change, clustered background and low resolution of hand regions. In this paper, we investigate these issues based on a frame-work that is intensively designed in terms of both varying features and multi-view analysis. In the framework, we embed both hand-crafted features and learnt features using Convolutional Neural Network (CNN) for gesture representation at single view. We then employ multi-view discriminant analysis (MvDA) based techniques to build a discriminant common space by jointly learning multiple view-specific linear transforms from multiple views. To evaluate the effectiveness of the proposed frame-work, we construct a new multi-view dataset of twelve gestures. these gestures are captured by five cameras uniformly spaced on the half of a circle frontally surrounding the user in the context of human machine interaction. the performance of each designed scheme in the proposed framework is then evaluated. We report accuracy and discuss the results in view of developing practical applications. Experimental results show promising performance for developing a natural and friendly hand-gesture based applications. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Palmprint recognition

来源：评论

学校读者我要写书评

暂无评论

Small Object Detection Base on YOLOv3 For Pedestrian recognition

Small Object Detection Base on YOLOv3 For Pedestrian Recogni...

引用

IEEE international conference on Control and Robotics Engineering (ICCRE)

作者： Yanyu Lai Fuchun Sun Huaping Liu School of Science and Technology Tsinghua University Beijing China

ISBN: (数字)9781728167916

ISBN: (纸本)9781728167923

Object detection is the most important algorithm in pattern recognition. However, there is plenty of challenging issue as the gap for algorithm improvement. In the case of the small object and partial occlusion detection in pattern recognition, it can be considered as the main interference for detector improvement. Our method is basing on the one-stage method, we are improving the detector performance by reconstructing the network with the deconvolution method. Our work showed robustness results of small object detection challenges. the experiment is conducting by the one-stage and two-stage detector algorithms and datasets benchmark, the application utilized in the real scene for method validation and improvement.

关键词： Detectors Feature extraction Object detection Deconvolution Benchmark testing pattern recognition Training

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Physiological Computing Systems, PhyCS 2016, 4th international conference on Physiological Computing Systems, PhyCS 2017 and 5th international conference on Physiological Computing Systems, PhyCS 2018

3rd International Conference on Physiological Computing Syst...

引用

3rd international conference on Physiological Computing Systems, PhyCS 2016, 4th international conference on Physiological Computing Systems, PhyCS 2017 and 5th international conference on Physiological Computing Systems, PhyCS 2018

ISBN: (纸本)9783030279493

the proceedings contain 12 papers. the special focus in this conference is on Physiological Computing Systems. the topics include: A data-driven model based on support vector machine to identify chronic hypertensive and diabetic patients;inner flower: Design and evaluation of a tangible biofeedback for relaxation;towards industrial assistance systems: Experiences of applying multi-sensor fusion in harsh environments;preface;Development and assessment of a self-paced BCI-VR paradigm using multimodal stimulation and adaptive performance;Hand gesture recognition based on EMG data: A convolutional neural network approach;heart rhythm qualitative analysis using low-cost and open source electrocardiography: A study based on atrial fibrillation detection;integrating biocybernetic adaptation in virtual reality training concentration and calmness in target shooting;bio-behavioral modeling of workload and performance;simple and robust automatic detection and recognition of human movement patterns in tasks of different complexity.

关键词：

来源：评论

学校读者我要写书评

暂无评论

vi-MoCoGAN: A Variant of MoCoGAN for Video Generation of Human Hand Gestures Under Different Viewpoints 5th

vi-MoCoGAN: A Variant of MoCoGAN for Video Generation of Hum...

引用

5th Asian conference on pattern recognition,ACPR 2019

作者： Tran, thanh-Hai Bach, Viet-Dung Doan, Huong-Giang International Research Institute MICA Hanoi University of Science and Technology Hanoi Viet Nam Electric Power University Hanoi Viet Nam

ISBN: (纸本)9789811536502

this paper presents a method for video generation under different viewpoints. the method gets inspired by MoCoGAN’s idea which modelled a video clip in two latent sub-spaces (content and motion) and achieved impressive results recently. However, MoCoGAN and most of existing methods of video generation did not take viewpoint into account so they cannot generate videos from a certain viewpoint, which is a need for data augmentation and advertisement applications. To this end, we propose to follow the idea of conditional GAN and introduce a new variable to control the generated video’s view. In addition, to keep the subject consistent during action implementation, we utilize an additional sub-network to generate the content control vector instead of using a random vector. Besides, the objective function for training the network will be modified to measure the similarity of content, action and view of the generated video with the truth one. Preliminary experiments are conducted for generating video clips of dynamic human hand gestures, showing the potential to generate videos under different viewpoints in the future. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Video cameras

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141页 << < 27 28 29 30 31 32 33 34 35 36 > >>

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：