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
155 篇 期刊文献
2 篇 学位论文

馆藏范围

482 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

417 篇 工学
- 195 篇 计算机科学与技术...
- 118 篇 电气工程
- 68 篇 控制科学与工程
- 55 篇 软件工程
- 46 篇 信息与通信工程
- 35 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
- 16 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
101 篇 理学
- 29 篇 数学
- 19 篇 系统科学
- 17 篇 物理学
- 15 篇 生物学
- 10 篇 地球物理学
- 9 篇 化学
- 5 篇 统计学（可授理学、...
54 篇 医学
- 36 篇 临床医学
- 9 篇 基础医学(可授医学...
42 篇 管理学
- 36 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 文学
2 篇 法学
1 篇 哲学
1 篇 经济学
1 篇 军事学

主题

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

446 篇 英文
23 篇 其他
11 篇 中文
2 篇 土耳其文

检索条件"主题词=Sorting Algorithm"

共 482 条记录，以下是431-440 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 Cost-effective Method for Epileptic Seizure Classification

A Cost-effective Method for Epileptic Seizure Classification

引用

IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

作者： Md Mursalin Syed Mohammed Shamsul Islam Adel Al-Jumaily Computing and Security Edith Cowan University Perth Australia Biomedical Engineering University of Technology Sydney Sydney Australia

ISBN: (纸本)9781728117096

The ongoing development of various lightweight and portable EEG signal acquisition devices provides the opportunity to implement home-based epilepsy monitoring. However, it is essential to apply a highly effective method to handle the limited computational power of such devices. In this paper, we propose a cost-effective method to classify epileptic seizure using stratified sampling technique. Additionally, to reduce the required computational power, this paper proposes a novel correlation and threshold-based feature selection algorithm. For evaluating the performance of our proposed method, five different classification algorithms are applied to classify the epileptic seizure from the reduced feature set. In our experiment, the random forest classifier shows the highest accuracy compared to other classifiers.

关键词： Epilepsy EEG signal Wavelet analysis Optimum allocation Classification optimal allocation epileptic seizure Wavelet Analysis Taxonomy Epilepsy computational power sorting algorithm

来源：评论

学校读者我要写书评

暂无评论

HYDROMETEOR CLASSIFICATION FOR X-BAND DUAL POLARIZATION RADAR ON-BOARD CIVIL AIRCRAFTS

HYDROMETEOR CLASSIFICATION FOR X-BAND DUAL POLARIZATION RADA...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： N. Roberto A. Adirosi L. Baldini L. Facheris F. Cuccoli A. Lupidi A. Garzelli CNIT - RASS

ISBN: (纸本)9781479979301

Polarimetric techniques applied to radars on-board civil aircraft can improve the estimation of risk zones due to dangerous weather during flight. Usually, X-band weather radars are installed at the nose of civil aircrafts. This band is affected by strong attenuation in case of intense precipitation (liquid or mixed phase). The current systems do not compensate backscattered power measurements for attenuation caused by propagation through precipitation, while dual-polarization radars are able to compensate effectively this source of error and to discriminate hydrometeors. In this work, a classification algorithm based on support vector machines (SVM) is proposed. Training is driven by the output of a Fuzzy Logic (FL) classification algorithm (typical classification approach used for ground-based weather radar). SVM high performance in terms of time processing and its flexibility of configuration using all type of inputs variables are important characteristics to be included in some avionic specific equipment, such as the Electronic Flight Bag (EFB). Two datasets have been used to test the SVM classification algorithm. The first dataset is composed of simulated radar polarimetric observations at X-band and the second one is composed of actual dual-polarization radar measurements collected during the Special Observation Period (SOP) 1.1 of HYdrological cycle in MEditerranean EXperiment (Hymex) campaign by the C-band Doppler dual-polarization weather radar (Polar 55C) installed at ISAC-CNR in Rome. Good performance are obtained for SVM classificator. The comparison with FL output shows a good agreement (up to 90%) both in qualitative comparison maps by maps and using a quantitative approach which metric is based on the confusion matrix.

关键词： Support Vector Machine Dual polarization radar Hydrometeor classification Avionic radar Fuzzy logic Support Vector Network sorting algorithm radar Fuzzy logic Superhigh frequency confusion matrix water circulation Radar measurement Power measurement Hydrometeors HIGH-PERFORMANCE meteorological radar mechanical heart valve

来源：评论

学校读者我要写书评

暂无评论

A SURVEY: CURSIVE HANDWRITING RECOGNITION TECHNIQUES

A SURVEY: CURSIVE HANDWRITING RECOGNITION TECHNIQUES

引用

IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology

作者： Umesh Choudhary Sampada Bhosale Sonali Bhise Purushottam Chilveri Department of Electronics and Telecommunication Smt. Kashibai Navale College Of Engineering Department of Electronics and Telecommunication Smt. Kashibai Navale College Of

ISBN: (纸本)9781509037056

In computer vision, recognition of cursive alphabets is a difficult and challenging task. Cursive alphabet recognition has its own importance within the field of bank cheques, American postcard, medical prescription letter, etc. The complexness of recognizing cursive alphabets lies within the stroke, inclination, size and the different handwriting styles. Here we have presented a survey on the recognition of cursive handwriting. Numerous methodologies are presented with their accuracy of recognition or recognition rate.

关键词： Feature extraction Image segmentation Handwriting recognition Artificial neural networks Classification algorithms Communications technology handwriting recognition Communication technology sorting algorithm image segmentation Feature extraction Artificial neural networks Recognition (Psychology) Alphabets

来源：评论

学校读者我要写书评

暂无评论

Operability Improvement for Myoelectric Prosthetic Hand Using Brain Machine Interface Identification of Eight Forearm Motions Based on Myoekectric Potential

Operability Improvement for Myoelectric Prosthetic Hand Usin...

引用

IEEE International Conference on Systems, Man, and Cybernetics

作者： Kana Kuniyasu Jun Ishikawa Department of Robotics and Mechatronics Tokyo Denki University Tokyo Japan

ISBN: (纸本)9781479906505

This paper proposes a myoelectric prosthetic hand control system using a brain machine interface that uses electromyogram signals and other biosignals such electro-encephalographic signals. The proposed system consists of a feature vector extractor, a neural network estimator, a reference trajectory generator, and an adaptive corrector. As a preparation, an experimental system has been prototyped without adaptive correction using other biosignals. The system is to classify eight forearm motions by using two electromyogram signals and to generate reference trajectories for servo controllers of a prosthetic hand. The experimental results showed that the proposed classification algorithm has basically worked well and that the reference trajectory generator has a potential to make appropriate smooth trajectories. Furthermore, electroencephalogram signals during forearm motion identification were measured and analyzed to check whether reaction to indicate any malfunctions was observed.

关键词： myoelectric prosthetic hand electromyogram (EMG) signals brain machine interface (BMI) neural network Neural network signals Forearm trajectory malfunctions control systems sorting algorithm Electromyogram machine servo controller

来源：评论

学校读者我要写书评

暂无评论

Automatic Detection of Laser Marks in Retinal Digital Fundus Images

Automatic Detection of Laser Marks in Retinal Digital Fundus...

引用

European Signal Processing Conference

作者： Joao G. R. Almeida e Sousa Carlos Manta Oliveira Luis A. da Silva Cruz Department of Physics University of Coimbra Retmarker S.A. Instituto de Telecomunicacoes Department of Electrical and Computer Engineering University of Coimbra

ISBN: (纸本)9781509018918

Diabetic retinopathy (DR) is the most frequent complication of diabetes mellitus that affects vision to the point of causing blindness. In advanced stages its progress can be delayed with laser photocoagulation which leaves behind marks on the retina. Modern screening programs rely on automatic diagnostic algorithms to detect signs of DR in patients. These systems performance may be impaired when patient retina presents marks from previous laser photocoagulation treatments. Since these patients are already being treated, it is desirable to detect and remove them from the screening program. An algorithm that automatically detects the presence of laser marks in retinal images using tree-based classifiers is proposed and the results on its performance are obtained and described. Two new public accessible datasets containing retinal images with laser marks are provided in this paper.

关键词： Diabetes Biomedical image processing Feature extraction Classification algorithms Medical image processing sorting algorithm Feature extraction Diabetes Mellitus automatic detection Laser Coagulation System performance Retinaldehyde DR Complications of Diabetes Mellitus Retinal Image images

来源：评论

学校读者我要写书评

暂无评论

Agnostic Selective Classification 11

Agnostic Selective Classification

引用

Annual Conference on Neural Information Processing Systems

作者： RanEl-Yaniv Yair Wiener Department Technion - Israel Institute of Technology

ISBN: (纸本)9781618395993

For a learning problem whose associated excess loss class is (β, B)-Bernstein, we show that it is theoretically possible to track the same classification performance of the best (unknown) hypothesis in our class, provided that we are free to abstain from prediction in some region of our choice. The (probabilistic) volume of this rejected region of the domain is shown to be diminishing at rate O(Bθ(1/m~1/2β), where 6 is Hanneke's disagreement coefficient. The strategy achieving this performance has computational barriers because it requires empirical error minimization in an agnostic setting. Nevertheless, we heuristically approximate this strategy and develop a novel selective classification algorithm using constrained SVMs. We show empirically that the resulting algorithm consistently outperforms the traditional rejection mechanism based on distance from decision boundary.

关键词： Decision Boundary sorting algorithm diminish excess loss Learning Problems

来源：评论

学校读者我要写书评

暂无评论

Whole-House Non-Intrusive Appliance Load Monitoring via Multi-Label Classification

Whole-House Non-Intrusive Appliance Load Monitoring via Mult...

引用

International Joint Conference on Neural Networks

作者： Ding Li Scott Dick Department of Electrical and Computer Engineering University of Alberta

ISBN: (纸本)9781509006212

Non-intrusive appliance load monitoring is a technique to help power companies monitor and analyze residential energy usage. Aggregated power load measurements are disaggregated into individual appliance loads by examining the appliance-specific power consumption characteristics. This data can then be used to modify consumer behaviors via detailed billing data and/or demand-pricing tariffs. A number of advances in the field have been reported in the past two decades, many of which apply machine learning algorithms. However, these algorithms only assign one label to an example, which is a poor match to the NIALM problem, meaning elaborate encodings or classifier ensembles are needed for NIALM. A more elegant solution would be to use algorithms that assign multiple labels to a single example. These multi-label classification algorithms have received very little attention in this field to date. We conduct an experimental investigation of four multi-label classification algorithms for non-intrusive monitoring, and find that they are superior to all prior reported results on a real-world household dataset.

关键词： Non-intrusive monitoring Load disaggregation Feature extraction Multi-label classification load monitoring Feature extraction sorting algorithm Classifier Ensembles Power consumption

来源：评论

学校读者我要写书评

暂无评论

LARGE MARGIN FILTERING FOR SIGNAL SEQUENCE LABELING

LARGE MARGIN FILTERING FOR SIGNAL SEQUENCE LABELING

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Remi Flamary Benjamin Labbe Alain Rakotomamonjy LITIS EA 4108 INSA-Universite de Rouen 76801 Saint-Etienne-du-Rouvray France

ISBN: (纸本)9781424442959

Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and to apply a classification algorithm on the filtered samples. We propose in this paper to jointly learn the filter with the classifier leading to a large margin filtering for classification. This method allows to learn the optimal cutoff frequency and phase of the filter that may be different from zero. Two methods are proposed and tested on a toy dataset and on a real life BCI dataset from BCI Competition III.

关键词： Filtering SVM BCI Sequence Labeling Filtration Support Vector Network Filters sorting algorithm signals Cutoff frequency LARGE gene Classifiers

来源：评论

学校读者我要写书评

暂无评论

CLASSIFYING THE CANADIAN BOREAL FOREST'S STRUCTURE USING MULTI-MODAL REMOTE SENSING

CLASSIFYING THE CANADIAN BOREAL FOREST'S STRUCTURE USING MUL...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Michael L. Benson Leland E. Pierce Kathleen M. Bergen Kamal Sarabandi The University of Michigan The Radiation Laboratory EECS Dept. The University of Michigan School of Natural Resources and the Environment

ISBN: (纸本)9781467311601

One of the most fundamental new technical challenges of a DESDynI-R space-borne mission is the fusion of the several sensor modalities, including the onboard SAR and external LiDAR and Optical sensors in order to accurately estimate desired 3D vegetation structures and biomass parameters in areas where the sensors overlap. The objective of this paper is to use measured datasets in conjunction with our sensor models to develop a classification algorithm that fuses multi-modal remote sensing technologies with a minimal amount of ground information and yields an accurate estimate of forest structure including dry biomass and canopy height.

关键词： SAR LiDAR Landsat Forest structure Classification Fractal tree VIR Fusion BOREAS DESDynI sorting algorithm Sensors remote sensing optical sensors Forest forest structure Fusion reactions FUSION fusion (melting) Remote Sensing Technologies

来源：评论

学校读者我要写书评

暂无评论

Arithmetic Means of Accuracies: A Classifier Performance Measurement for Imbalanced Data Set

Arithmetic Means of Accuracies: A Classifier Performance Mea...

引用

2010 International Conference on Audio,Language and Image Processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

作者： Ivanna K. Timotius Shaou-Gang Miaou Department of Electronic Engineering Satya Wacana Christian University Salatiga Indonesia Departm Department of Electronic Engineering Chung Yuan Christian University Chung Li Taiwan

ISBN: (纸本)9781424458561

Classifier performance measurement is essential in the development and analysis of classification algorithms. This paper proposes a new measurement approach that can be used generally for the balanced and imbalanced data set, can reflect the random guessing behavior perfectly, and can be used easily in cost-sensitive classification and multiple-class classification.

关键词： Dataset sorting algorithm Performance metrics arithmetical mean Classifiers ASSAY SCALE arithmetic Phyla Guess

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 << < 40 41 42 43 44 45 46 47 48 49 > >>

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：