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

325 篇 会议
163 篇 期刊文献
2 篇 学位论文

馆藏范围

490 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

425 篇 工学
- 201 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 生物医学工程（可授...
- 24 篇 测绘科学与技术
- 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...
- 5 篇 光学工程
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
6 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

490 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

451 篇 英文
26 篇 其他
11 篇 中文
2 篇 土耳其文

检索条件"主题词=sorting algorithm"

共 490 条记录，以下是371-380 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：

FAST MARGIN-BASED COST-SENSITIVE CLASSIFICATION

FAST MARGIN-BASED COST-SENSITIVE CLASSIFICATION

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Feng Nan Joseph Wang Kirill Trapeznikov Venkatesh Saligrama Boston University

ISBN: (纸本)9781479928941

We present a novel classification algorithm for learning with test time budgets. In this setting, the goal is to reduce feature acquisition cost while maintaining classification accuracy. For every decision, our approach dynamically selects features based on previously observed information. Once a desired confidence of a decision is achieved, the acquisition stops and the test instance is classified. Our approach can be used in conjunction with many popular margin based classification algorithms. We use margin information from training data in the partial feature neighborhood of a test point to compute a probability of correct classification. This estimate is used to either select the next feature or to stop. We compare our algorithm to other cost-sensitive methods on real world datasets. The experiments demonstrate that our algorithm provides an accurate estimate of classification confidence and outperforms other approaches while being significantly more efficient in computation.

关键词： sorting algorithm Tumor margin status test points Taxonomy confidence algorithms TESTING TIME

来源：评论

学校读者我要写书评

暂无评论

Medical Document Classification Based on MeSH

Medical Document Classification Based on MeSH

引用

Hawaii International Conference on System Sciences

作者： Abdullah Muhammad Alghoson Claremont Graduate University

ISBN: (纸本)9781479925056

One of the most challenging projects in information systems is extracting information from unstructured texts, including medical document classification. I am developing a classification algorithm that classifies a medical document by analyzing its content and categorizing it under predefined topics from the Medical Subject Headings (MeSH). I collected a corpus of 50 full-text journal articles (N=50) from MEDLINE, which were already indexed by experts based on MeSH. Using natural language processing (NLP), my algorithm classifies the collected articles under MeSH subject headings. I evaluated the algorithm's outcome by measuring its precision and recall of resulting subject headings from the algorithm, comparing results to the actual documents' subject headings. The algorithm classified the articles correctly under 45% to 60% of the actual subject headings and got 40% to 53% of the total subject headings correct. This holds promising solutions for the global health arena to index and classify medical documents expeditiously.

关键词： Medical Subject Headings Subject Headings sorting algorithm Classification (Cognitive Process) Medical Natural Language Processing Computer based information systems Mesh Mesh recall Mental Recall MEDLINE

来源：评论

学校读者我要写书评

暂无评论

Patient-Specific Ventricular Beat Classification without Patient-Specific Expert Knowledge: A Transfer Learning Approach

Patient-Specific Ventricular Beat Classification without Pat...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Jenna Wiens John V. Guttag Department of Electrical Engineering and Computer Science at MIT Faculty of Electrical Engineering and Computer Science at MIT

ISBN: (纸本)9781424441211

We present an adaptive binary classification algorithm, based on transductive transfer learning. We illustrate the method in the context of electrocardiogram (ECG) analysis. Knowledge gained from a population of patients is automatically adapted to patients' records to accurately detect ectopic beats. On patients from the MIT-BIH Arrhythmia Database, we achieve a median sensitivity of 94.59% and positive predictive value of 96.24%, for the binary classification task of separating premature ventricular contractions (PVCs), a type of ectopic beat, from non-PVCs.

关键词： Premature Cardiac Complex Expert Opinion Transfer (Psychology) sorting algorithm Beat Electrocardiography patient records

来源：评论

学校读者我要写书评

暂无评论

Region Ranking SVM for Image Classification

Region Ranking SVM for Image Classification

引用

IEEE Conference on Computer Vision and Pattern Recognition

作者： Zijun Wei Minh Hoai Stony Brook University

ISBN: (纸本)9781467388528

The success of an image classification algorithm largely depends on how it incorporates local information in the global decision. Popular approaches such as average-pooling and max-pooling are suboptimal in many situations. In this paper we propose Region Ranking SVM (RRSVM), a novel method for pooling local information from multiple regions. RRSVM exploits the correlation of local regions in an image, and it jointly learns a region evaluation function and a scheme for integrating multiple regions. Experiments on PASCAL VOC 2007, VOC 2012, and ILSVRC2014 datasets show that RRSVM outperforms the methods that use the same feature type and extract features from the same set of local regions. RRSVM achieves similar to or better than the state-of-the-art performance on all datasets.

关键词： Image classification local information. Support Vector Network Dataset Volatile Organic Compounds sorting algorithm Pascal Imagery (Psychotherapy) images

来源：评论

学校读者我要写书评

暂无评论

A Crowdsourcing-based Medical Image Classification Method

A Crowdsourcing-based Medical Image Classification Method

引用

IEEE International Conference on Bioinformatics and Biomedicine

作者： Shuning He Haiwei Pan Shengnan Zhao Chunling Chen Xiaofei Bian College of Computer Science and Technology Harbin Engineering University

ISBN: (纸本)9781728118680

The main task of medical image mining is to effectively analyze medical image data. Medical image classification algorithms have a high error rate near the threshold. To address the problem, the paper adopts a hybrid approach which combines computers algorithm and crowdsourcing system for image classification. A hybrid framework is proposed, which can achieve a higher accuracy significantly than only use classification algorithms. At the same time, it only processes the images that classification algorithms perform not well, so it has a lower monetary cost. In this framework, a range threshold is generated by using an efficient algorithm that assigns an image to a crowdsourcing or classification algorithm. To ensure the quality of crowdsourcing answers, this paper presents two worker models, Worker Quality Evaluation Model (WQEM) and Worker Performance Prediction Model (WPPM) respectively. Due to the lack of the crowdsourcing platform for processing medical information, medical image classification results are difficult to collect, so this paper proposed a crowdsourcing platform for medical image classification.

关键词： medical image range-threshold crowdsourcing image classification worker model Image classification Crowdsource sorting algorithm Medical Medical imaging Error analysis

来源：评论

学校读者我要写书评

暂无评论

An Integration Method Of Classifiers For Abnormal Phone Detection

An Integration Method Of Classifiers For Abnormal Phone Dete...

引用

International Conference on Behavior, Economic and Social Computing (BESC)

作者： Yahan Yuan Ke Ji Runyuan Sun Kun Ma Zhenxiang Chen Lin Wang School of information science and engineering university of jinan jinan China

ISBN: (纸本)9781728147635

Harassing and fraud calls have spread like viruses in people's lives, many researchers have proposed some solutions to abnormal phone detection. However, most of these methods are passive detection, cannot give accurate prediction in time. In this work, we worked with operators to obtain a volume of real telecom user data and extract a series of comprehensive features. We propose an integration method of classifiers for abnormal phone detection by applying the machine learning algorithm on the data with unbalance and `dirty data'. Especially, we use bootstrap sampling method and voting strategy to reduce the false prediction of classier due to noise data. The experimental result shows the effectiveness of our method in contrast with traditional classification algorithm.

关键词： Abnormal phone Integration Voting Classification Vote Classifiers DNA Integration integration Integration Methods Telephone Taxonomy Passive detection sorting algorithm Unbalance

来源：评论

学校读者我要写书评

暂无评论

K-CENTROIDS-BASED SUPERVISED CLASSIFICATION OF TEXTURE IMAGES: HANDLING THE INTRA-CLASS DIVERSITY

K-CENTROIDS-BASED SUPERVISED CLASSIFICATION OF TEXTURE IMAGE...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

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

ISBN: (纸本)9781479903573

Natural texture images exhibit a high intra-class diversity due to different acquisition conditions (scene enlightenment, perspective angle,...). To handle with the diversity, a new supervised classification algorithm based on a parametric formalism is introduced: the K-centroids-based classifier (K-CB). A comparative study between various supervised classification algorithms on the VisTex and Brodatz image databases is conducted and reveals that the proposed K-CB classifier obtains relatively good classification accuracy with a low computational complexity.

关键词： sorting algorithm GRAIN PATTERN Taxonomy images complexity classes Classifiers textures visual databases modern history

来源：评论

学校读者我要写书评

暂无评论

Hybrid algorithm for reactive power control in grid integrated Photovoltaic inverters

Hybrid algorithm for reactive power control in grid integrat...

引用

International Conference on Power Electronics, Control and Automation (ICPECA)

作者： Al- Zoya Fatama Mohammed Ali Khan Varaha Satya Bharath kurukuru Ahteshamul Haque Deparment of Electrical Engineering Jamia Millia Islamia (Central University) New Delhi India

ISBN: (纸本)9781728139593

This paper develops a coordinated reactive power control system for grid integrated solar photovoltaic (PV) inverters. The proposed algorithm combines the reactive power control capabilities of PV inverter with flexible AC transmission devices for stabilizing the PV system during grid faults. The proposed control method works as per a predefined hierarchical structure by prioritizing the reactive power control with PV inverters. The complete methodology is realized by testing them with a two-stage single-phase grid-connected PV system simulated in MATLAB/Simulink software. The simulation results verify the accuracy of the classification algorithm and depict the effectiveness of the proposed controller in both the under and overvoltage situations.

关键词： Grid-connected photovoltaic system (GCPVS) Fault ride through (FRT) Islanding classification Reactive power control Reactive power control grids Control Methods Polydnaviridae Inventors Power control sorting algorithm Grid

来源：评论

学校读者我要写书评

暂无评论

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

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49页 << < 34 35 36 37 38 39 40 41 42 43 > >>

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：