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

326 篇 会议
164 篇 期刊文献
2 篇 学位论文

馆藏范围

492 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

427 篇 工学
- 202 篇 计算机科学与技术...
- 121 篇 电气工程
- 69 篇 控制科学与工程
- 57 篇 软件工程
- 47 篇 信息与通信工程
- 36 篇 仪器科学与技术
- 30 篇 机械工程
- 25 篇 测绘科学与技术
- 25 篇 生物医学工程（可授...
- 18 篇 电子科学与技术（可...
- 16 篇 环境科学与工程（可...
- 13 篇 石油与天然气工程
- 10 篇 生物工程
- 6 篇 材料科学与工程（可...
- 6 篇 动力工程及工程热...
- 6 篇 化学工程与技术
- 6 篇 航空宇航科学与技...
105 篇 理学
- 32 篇 数学
- 19 篇 系统科学
- 18 篇 物理学
- 16 篇 生物学
- 10 篇 地球物理学
- 9 篇 化学
- 7 篇 统计学（可授理学、...
55 篇 医学
- 37 篇 临床医学
- 10 篇 基础医学(可授医学...
44 篇 管理学
- 38 篇 管理科学与工程(可...
26 篇 农学
- 15 篇 农业资源与环境
- 9 篇 作物学
7 篇 教育学
- 5 篇 教育学
3 篇 法学
3 篇 文学
1 篇 哲学
1 篇 经济学
1 篇 军事学

主题

492 篇 sorting algorith...
88 篇 classification a...
50 篇 feature extracti...
40 篇 support vector n...
38 篇 classifiers
31 篇 algorithms
30 篇 taxonomy
25 篇 dataset
25 篇 training
23 篇 support vector m...
22 篇 functional train...
20 篇 image classifica...
19 篇 pattern recognit...
17 篇 sorting programs
15 篇 sorting
15 篇 algorithm design...
15 篇 classification
15 篇 accuracy
14 篇 pattern classifi...
13 篇 learning (artifi...

机构

3 篇 cairo univ fac c...
3 篇 sun yat sen univ...
2 篇 univ firenze dip...
2 篇 princeton univ p...
2 篇 univ fed rio gra...
2 篇 univ calif davis...
2 篇 natl tsing hua u...
2 篇 univ cent florid...
2 篇 mit cambridge ma...
2 篇 univ uppsala dep...
2 篇 shanghai jiao to...
2 篇 socomec vicenza
2 篇 université de bo...
2 篇 hong kong inst e...
2 篇 johns hopkins un...
1 篇 nanjing univ pos...
1 篇 int inst geoinfo...
1 篇 beihang univ fer...
1 篇 univ reading sch...
1 篇 univ hosp leuven...

作者

5 篇 nong ge
4 篇 yannick berthoum...
4 篇 lionel bombrun
3 篇 chan wai hong
3 篇 wu yi
3 篇 aurelien schutz
2 篇 babaeizadeh saee...
2 篇 janson s
2 篇 tresca giulia
2 篇 wang ping
2 篇 de paris jean-mi...
2 篇 chaudhury santan...
2 篇 hassanien aboul ...
2 篇 fill ja
2 篇 hua yifan
2 篇 liu jun
2 篇 ferrari luca
2 篇 desouza guilherm...
2 篇 zheng shengan
2 篇 wang zhe

语言

452 篇 英文
27 篇 其他
11 篇 中文
2 篇 土耳其文

检索条件"主题词=sorting algorithm"

共 492 条记录，以下是381-390 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：

OBJECT CLASSIFICATION IN INFRARED IMAGES USING DEEP REPRESENTATIONS

OBJECT CLASSIFICATION IN INFRARED IMAGES USING DEEP REPRESEN...

引用

IEEE International Conference on Image Processing

作者： Erhan Gundogdu Aykut Koc A. Aydin Alatan Intelligent Data Analytics Research Program Dept. Aselsan Research Center Center for Image Analysis (OGAM) METU Ankara

ISBN: (纸本)9781467399623

In this study, we address the problem of infrared (IR) object classification that divides the object appearance space hierarchically with a binary decision tree structure. Binary decisions are made by using the special features of the object appearances. These features are extracted using a fully connected deep neural network learnt by training samples. At each node of the tree, we train individual deep CNNs such that each node specializes in its corresponding subspace. The proposed classification algorithm is evaluated in our generated dataset, which consists of IR targets collected from different video records obtained from different IR sensors (both midwave and longwave) and taken from real world field. The generated dataset consists of four different class labels as ship/boat, tank, plane and helicopter containing a total of 16K samples. Using the proposed tree-based classifier, we observe a favourable performance increase in our dataset against a single deep CNN classifier.

关键词： Infrared Classification Thermal targets Thermal dataset generation Tree-based classification Taxonomy Infrared radiation sorting algorithm Dataset Binary Decision Tree tree sort Infrared sensors Video Recording Helicopters representations Line of nodes Classifiers binary decision

来源：评论

学校读者我要写书评

暂无评论

A Survey of Face Recognition Techniques and Comparative Study of Various Bi-Modal and Multi-Modal Techniques

A Survey of Face Recognition Techniques and Comparative Stud...

引用

IEEE International Conference on Industrial and Information Systems

作者： Anand Handa Rashi Agarwal Narendra Kohli Department of CSE PSIT COE Kanpur (India) Department of IT UIET CSJMU Kanpur (India) Department of CSE HBTIU Kanpur (India)

Face Recognition is one of the most demanding problems in computer vision and image processing. Face recognition techniques can be divided into following categories: methods which are applicable on intensified images;images derived from video sequences;and images that require three-dimensional information and data. In this paper, we have compared the various Bi-Modal and Multi-Modal techniques. Speech recognition is an essential component for various applications such as building interfaces for natural human machines. Acoustic speech is used as the only input for various speech based automatic recognition system. Multimodal recognition is as an indigenous component of the next level speech-based systems. The main objective of this review paper is to compare the various components of bimodal recognition and it aims at some important ongoing research issues in the field of image and face recognition.

关键词： Hidden Markov models Speech recognition Face recognition Speech Face Classification algorithms Feature extraction Facial Recognition Face recognition techniques sorting algorithm Speech recognition images Hidden Markov models Speech Feature extraction Face computer vision

来源：评论

学校读者我要写书评

暂无评论

The Process of Metadata Management for Radar Target Classification algorithm Development

The Process of Metadata Management for Radar Target Classifi...

引用

New Trends in Signal Processing (NTSP)

作者： Vojtech Valenta Jan Pidanic Ondrej Nemec University of Pardubice Pardubice Czech Republic

ISBN: (数字)9781728161556

ISBN: (纸本)9781728161563

This paper presents an approach to manage metadata (target class labels) for the recorded primary Doppler radar data. This information is necessary for further research and development of target classification algorithms. For this purpose, a labelling methodology and an application radar data analysis and target labelling was developed. The application includes radar records file processing, Doppler filtering, tag creation, data visualizationand tag database. For the better context of analysed data, an interface to Geographic Information Software (GIS) program is included as well. GIS program allows overlaying radar Plan Position Indicator (PPI) data with map data, airplane transponder tracks, drone flight path log and other support data. Finally, the application notes and observations are presented.

关键词： primary radar target classification radar recordings target type labelling radar data analysis TARGET CLASSIFICATION Metadata sorting algorithm RADAR TARGETS radar radar data Packaging

来源：评论

学校读者我要写书评

暂无评论

COMPETITIVE AND ONLINE PIECEWISE LINEAR CLASSIFICATION 38th

COMPETITIVE AND ONLINE PIECEWISE LINEAR CLASSIFICATION

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Huseyin Ozkan Mehmet A. Donmez Ozgun S. Pelvan Arda Akman Suleyman S. Kozat Bilkent University Electrical and Electronics Engineering Department Koc University Electrical and Electronics Engineering Department Turk Telekom Group R&D

ISBN: (纸本)9781479903573

In this paper, we study the binary classification problem in machine learning and introduce a novel classification algorithm based on the "Context Tree Weighting Method". The introduced algorithm incrementally learns a classification model through sequential updates in the course of a given data stream, i.e., each data point is processed only once and forgotten after the classifier is updated, and asymptotically achieves the performance of the best piecewise linear classifiers defined by the "context tree". Since the computational complexity is only linear in the depth of the context tree, our algorithm is highly scalable and appropriate for real time processing. We present experimental results on several benchmark data sets and demonstrate that our method provides significant computational improvement both in the test (5 ～ 35×) and training phases (40 ～ 1000×), while achieving high classification accuracy in comparison to the SVM with RBF kernel.

关键词： Online Competitive Classification Piecewise linear Context tree LDA Classifiers Taxonomy Anterior interventricular branch of left coronary artery real-time process laser Doppler anemometry Left-sided displacement of abomasum Dataset sorting algorithm Support Vector Network

来源：评论

学校读者我要写书评

暂无评论

Bangla Handwritten Character Recognition: an overview of the state of the art classification algorithm with new dataset

Bangla Handwritten Character Recognition: an overview of the...

引用

International Conference on Advances in Science, Engineering and Robotics Technology

作者： Md Nazmul Hoq Nadira Anjum Nipa Sadat Shahriar Mohammad Mohaiminul Islam Department of Computer Science and Engineering Daffodil International University

ISBN: (纸本)9781728134468

Recognition of handwritten characters from Bangla handwritten texts is of immense importance considering the complexity of the task. Researchers have explored the task of recognizing Bangla handwritten digits, but a few numbers of published works are available for Bangla Handwritten Character Recognition (BHCR). In our paper, we present a comparative overview of classification algorithms for BHCR, which may help the researcher to decide an appropriate classification algorithm for their work We have created a new dataset of Bangla handwritten characters from 150 volunteers at different levels. We extracted around 2500 samples of Bangla characters, which consist of Bangla Vowels only. Histogram adjustment and other image preprocessing techniques are applied in handwritten characters before their classification. We compare the performance of seven commonly used classification algorithms for BHCR in terms of Sensitivity, Miss Rate, Specificity, Precision, Fall-out, F-score, and Overall Accuracy. This result shows that among the seven algorithms, ANN (Artificial Neural Network) performed best. LR (Logistic Regression) performed well compared to others in terms of the standard measures like sensitivity, specificity and error rate. This comparative overview will help scientists, especially the new researchers to give a quick start with Bangla handwritten character recognition.

关键词： Handwritten character recognition Pattern recognition Histogram of oriented gradient (HOG) handwritten character recognition sorting algorithm Pattern recognition HANDWRITTEN CHARACTERS Sensitivity and Specificity quick-start

来源：评论

学校读者我要写书评

暂无评论

CENTROID-BASED TEXTURE CLASSIFICATION USING THE GENERALIZED GAMMA DISTRIBUTION

CENTROID-BASED TEXTURE CLASSIFICATION USING THE GENERALIZED ...

引用

European Signal Processing Conference

作者： Aurelien Schutz Lionel Bombrun Yannick Berthoumieu Mohamed Najim Université de Bordeaux ENSEIRB-Matmeca Laboratoire IMS Groupe Signal et Image

ISBN: (纸本)9781479936878

This paper introduces a centroid-based (CB) supervised classification algorithm of textured images. In the context of scale/orientation decomposition, we demonstrate the possibility to develop centroid approach based on a stochastic modeling. The aim of this paper is twofold. Firstly, we introduce the generalized Gamma distribution (GΓD) for the modeling of wavelet coefficients. A comparative goodness-of-fit study with various univariate models reveals the potential of the proposed model. Secondly, we propose an algorithm to estimate the centroid from the collection of GΓD parameters. To speed-up the convergence of the steepest descent, we propose to include the Fisher information matrix in the optimization step. Experiments from various conventional texture databases are conducted and demonstrate the interest of the proposed classification algorithm.

关键词： textured images Jeffrey divergence generalized Gamma distribution centroid supervised classification Centroid Gamma Distribution sorting algorithm textures

来源：评论

学校读者我要写书评

暂无评论

Optimization methods of GIDS packet classification using dynamic traffic characteristic

Optimization methods of GIDS packet classification using dyn...

引用

International Conference on Information Science and Digital Content Technology

作者： Ning Zhuo Sun zhi-xin Xu Jian-zhen The school of Internet of Things Nanjing University of Posts and Telecommunications China

ISBN: (纸本)9781467312882

Traditional packet classification algorithms in Giga bit Intrusion Detection System (GIDS) always focus on static characteristic of the signature and ignore the traffic characteristic totally. In this paper we argue that efficiency of the classification algorithm is up to how current traffic visits the tree, the more well-proportioned the classification tree could partition the traffic, the more efficient it would be. So optimization methods using dynamic traffic characteristics are exploited. Our contributions lie in three folds. Firstly, a novel best classification tree is formally defined aiming to minimize the visit cost of the traffic in the slot, based on which optimization methods are exploited. Secondly, Packet Feature Entropy is proposed to measure how efficiently a packet field can partition the traffic, and the popular 14 packet fields used in Snort are investigated in detail by 10Gbps backbone trace and Netflow data. Finally, adaptive updating strategies are discussed by analyzing the experiment results.

关键词： Optimization methods Traffic characteristics sort tree structure sorting algorithm packet classification Traffic static characteristics Packet

来源：评论

学校读者我要写书评

暂无评论

A PSO-Based Document Classification algorithm accelerated by the CUDA Platform

A PSO-Based Document Classification Algorithm accelerated by...

引用

IEEE International Conference on Systems, Man, and Cybernetics

作者： Jan Platos Vaclav Snasel Tomas Jezowicz Pavel Kromer Ajith Abraham Department of Computer Science FEECS IT4 Innovations Centre of Excellence VSB-Technical University of Ostrava

ISBN: (纸本)9781467317139

Document classification is a well-known problem that is focused on assigning predefined labels or categories to the documents found in the searched collection. Many classical algorithms were developed for solving of this problem. They usually have large time complexity and with increasing number of documents it is necessary to find algorithm which are able to find solution in reasonable time. Such algorithms are usually inspired by biological processes. Even such meta-heuristics algorithms become too slow when the number of documents is really large and it is necessary to optimize them for faster processing. This paper describes a document classification algorithm based on Particle Swarm Optimization with implementation of one and two GPUs.

关键词： Particle swarm optimization Document classification Gpu Optimization sorting algorithm complexity classes Particle swarm optimization Necessary Problem solving algorithms Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

CLASSIFICATION OF EX-VIVO BREAST CANCER POSITIVE MARGINS MEASURED BY HYPERSPECTRAL IMAGING

CLASSIFICATION OF EX-VIVO BREAST CANCER POSITIVE MARGINS MEA...

引用

IEEE International Conference on Image Processing

作者： R. Pourreza-Shahri F. Saki N. Kehtarnavaz P. Leboulluec H. Liu University of Texas at Dallas University of Texas at Arlington

ISBN: (纸本)9781479923427

This paper presents our recent development of a classification algorithm for identification of breast cancer margins measured by hyperspectral imaging for the purpose of lowering the number of missed positive margins in breast cancer lumpectomy. After extracting Fourier coefficient selection features and reducing the dimensionality of hyperspectral image data via the Minimum Redundancy Maximum Relevance method, an SVM classifier involving a radial basis kernel function is deployed to separate cancerous tissues from normal tissues. By examining exvivo breast cancer hyperspectral images tagged by a pathologist, the developed classification approach is shown to achieve a sensitivity of about 98% and a specificity of about 99%.

关键词： Hyperspectral imaging of breast cancer breast cancer positive margin classification Fourier coefficient selection features support vector machine Support Vector Network Breast Cancer margins sorting algorithm hyperspectral imagery EX-VIVO image data Segmental Mastectomy Imaging Radial basis function Taxonomy

来源：评论

学校读者我要写书评

暂无评论

Load shedding techniques based on windows in data stream systems

Load shedding techniques based on windows in data stream sys...

引用

International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET)

作者： S. Senthamilarasu M. Hemalatha Department of Computer Science Karpagam University Coimbatore India

ISBN: (纸本)9781467351416

Many applications need to process streams, for analyzing and monitoring their data for inferring useful information. Database analysts are structuring Data Stream Management systems (DSMS) so that applications can subject queries to get timely information from streams. Unlike the traditional database system, managing and processing of stream database raise several challenges. In this paper, we portrayed a new load shedding system for queries consisting of one or more aggregate operators with sliding windows. We utilized different types of window aggregate function to drop the tuple in DataStream. This method is conscious of the window properties of its window aggregate operators in the query plan. Accordingly, it plausibly divides the input stream into windows and probabilistically decides which tuple to drop based on the window function. This decision is further encoded into tuple by marking the ones that are disallowed from starting new windows. Unlike previous methods, our method conserve consistency of windows all over a query plan, and always distributes subsets of original query responds with negligible deprivation in the quality of the result.

关键词： Data Stream Load Shedding Window functions Classification algorithms. load shedding window function windows sorting algorithm FENSTER tuple data flow Input Stream window streams data stream management system

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50页 << < 35 36 37 38 39 40 41 42 43 44 > >>

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：