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

2,966 篇 会议
174 册 图书
25 篇 期刊文献

馆藏范围

3,164 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,043 篇 工学
- 1,824 篇 计算机科学与技术...
- 958 篇 软件工程
- 331 篇 电气工程
- 314 篇 信息与通信工程
- 214 篇 控制科学与工程
- 207 篇 生物工程
- 149 篇 生物医学工程（可授...
- 71 篇 光学工程
- 64 篇 机械工程
- 62 篇 化学工程与技术
- 51 篇 电子科学与技术（可...
- 48 篇 仪器科学与技术
- 46 篇 安全科学与工程
- 36 篇 交通运输工程
649 篇 理学
- 353 篇 数学
- 245 篇 生物学
- 139 篇 物理学
- 135 篇 统计学（可授理学、...
- 95 篇 系统科学
- 63 篇 化学
408 篇 管理学
- 244 篇 图书情报与档案管...
- 182 篇 管理科学与工程(可...
- 83 篇 工商管理
262 篇 医学
- 241 篇 临床医学
- 123 篇 基础医学(可授医学...
- 74 篇 药学(可授医学、理...
- 40 篇 公共卫生与预防医...
46 篇 法学
- 42 篇 社会学
38 篇 教育学
- 32 篇 教育学
33 篇 经济学
- 31 篇 应用经济学
23 篇 农学
6 篇 艺术学
4 篇 文学

主题

572 篇 machine learning
563 篇 data mining
320 篇 pattern recognit...
209 篇 deep learning
201 篇 feature extracti...
154 篇 support vector m...
145 篇 artificial intel...
128 篇 machine learning...
120 篇 training
117 篇 accuracy
90 篇 data models
89 篇 data mining and ...
71 篇 neural networks
71 篇 classification
67 篇 predictive model...
66 篇 face recognition
61 篇 learning systems
52 篇 computer imaging...
50 篇 convolutional ne...
48 篇 classification a...

机构

9 篇 school of comput...
9 篇 chinese academy ...
8 篇 zhejiang univers...
8 篇 chitkara univers...
7 篇 guangdong univer...
7 篇 school of inform...
6 篇 xi'an university...
6 篇 indian statistic...
6 篇 central south un...
6 篇 department of co...
6 篇 unsw sydney
6 篇 xi'an university...
6 篇 southern univers...
5 篇 study group aust...
5 篇 peking universit...
4 篇 centre for patte...
4 篇 chongqing univer...
4 篇 national laborat...
4 篇 sun yat sen univ...
4 篇 school of inform...

作者

11 篇 de-shuang huang
8 篇 petra perner
7 篇 krasotkina olga
7 篇 mottl vadim
7 篇 ying tan
6 篇 zheng-guang wu
6 篇 ryszard tadeusie...
6 篇 marcin korytkows...
6 篇 phung dinh
6 篇 venkatesh svetha
6 篇 hongyi li
6 篇 jacek m. zurada
6 篇 chaojie li
6 篇 biao luo
6 篇 ilias maglogiann...
6 篇 lotfi a. zadeh
6 篇 leszek rutkowski
6 篇 lazaros iliadis
6 篇 long cheng
5 篇 vitoantonio bevi...

语言

2,999 篇 英文
152 篇 其他
25 篇 中文
1 篇 土耳其文

检索条件"任意字段=5th International Conference on Machine Learning and Data Mining in Pattern Recognition"

共 3165 条记录，以下是2701-2710 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：

Classification of surface condition of polymer coated insulators using wavelet transform and neural networks

Classification of surface condition of polymer coated insula...

引用

5th international conference on Wavelet Analysis and pattern recognition

作者： Pylarinos, D. Lazarou, S. Marmidis, G. Pyrgioti, E. Univ Patras Dept Elect & Comp Engn High Voltage Lab GR-26110 Patras Greece

ISBN: (纸本)9781424410651

Polymer coated insulators are used to suppress the pollution phenomenon on high voltage insulators. In order to investigate surface activity, which is directly, linked to insulation performance and lifecycle, leakage current waveforms are used In this paper a pattern recognition system is proposed capable of identifying four different types of surface activity. patterns are extracted from leakage current waveforms through wavelet analysis, and especially multi resolution signal decomposition technique. the identification process is automated using an Artificial Neural Network.

关键词： neural network wavelet insulator polymer silicone rubber leakage current surface waveform field measurement pattern recognition hydrophobicity dry band

来源：评论

学校读者我要写书评

暂无评论

Sub-pattern non-negative matrix factorization based on random subspace for face recognition

Sub-pattern non-negative matrix factorization based on rando...

引用

5th international conference on Wavelet Analysis and pattern recognition

作者： Zhu, Yu-Lian Nanjing Univ Aeronaut & Astronaut Dept Comp Sci & Engn Nanjing 210016 Peoples R China

ISBN: (纸本)9781424410651

Non-negative matrix factorization (NMF) as a part-based representation method allows only additive combinations of non-negative basis components to represent the original data, so it provides a realistic approximation to the original data. However, NMF does not work well when directly applied to face recognition due to its global linear decomposition;this intuitively results in a degradation of recognition performance and non-robustness to the variation in illumination, expression and occlusion. In this paper, we propose a robust method, random subspace sub-pattern NMF (RS-SpNMF), especially for face recognition. Unlike the traditional random subspace method (RSM), which completely randomly selects the features from the whole original pattern feature set, the proposed method randomly samples,features from each local region (or a sub-image) partitioned from the original face image and performs NMF decomposition on each sampled feature set. More specially, we first divide a face image into several sub-images in a deterministic way, then construct a component classifier on sampled feature subset from each sub-image set, and finally combine all of component classifiers for the final decision. Experiments on three benchmarks face databases (ORL,Yale and AR) show that the proposed method is effective, especially to the occlusive face image.

关键词： NMF face recognition PCA LNMF SpPCA SpNMF RS-SpNMF

来源：评论

学校读者我要写书评

暂无评论

Classification of infrasound events with various machine learning techniques

Classification of infrasound events with various machine lea...

引用

4th international conference on Cybernetics and Information Technologies, Systems and Applications/5th Int Conf on Computing, Communications and Control Technologies

作者： Chilo, Jose Olsson, Roland Hansen, Stig-Erland Lindblad, thomas Univ Gavle Royal Inst Technol S-10691 Stockholm Sweden Ostfold Univ Coll Halden N-1757 Norway Ostfold Univ Coll Halden N-1757 Norway Royal Inst Technol S-10691 Stockholm Sweden

ISBN: (纸本)9781934272084

this paper presents classification results for infrasonic events using practically all well-known machine learning algorithms together with wavelet transforms for preprocessing. We show that there are great differences between different groups of classification algorithms and that nearest neighbor classifiers are superior to all others for accurate classification of infrasonic events.

关键词： classification machine lcarning pattern recognition wavelets

来源：评论

学校读者我要写书评

暂无评论

data mining - Redefining the boundaries

Data mining - Redefining the boundaries

引用

5th IEEE/ACS international conference on Computer Systems and Applications (AICCSA-07)

作者： Awan, Malik Shahzad Kaleem Awais, Mian Muhammad Lahore Univ Management Sci Dept Comp Sci Lahore Pakistan

ISBN: (纸本)9781424410309

Ever since its emergence as a new field, data mining has been described as a confluence of different disciplines primarily database systems, statistics machine learning and information science. Strategic Management, an emerging discipline of management sciences, focuses on setting mission, vision, goals and objectives, analyzing internal and external organizational environments, making strategic decisions and taking actions to implement the designed strategy. In this paper, we have revealed that the whole data mining process forms a part of strategic analysis phase of strategic management. We have mapped the data mining activities to the strategic analysis phase from both the conceptual as well as the practical perspectives. We have found that if data mining is used for conducting environmental analysis, much better results could be yielded by helping the managers to formulate target-oriented strategies more efficiently and effectively. thus, the boundaries of this emerging field - data mining - have been redefined using the essence and the key attributes of strategic management.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Choquet fuzzy integral aggregation based on g-λ fuzzy measure

Choquet fuzzy integral aggregation based on g-λ fuzzy measu...

引用

5th international conference on Wavelet Analysis and pattern recognition

作者： He, Qiang Chen, Jun-Fen Yuan, Xiang-Qian Li, Jie Hebei Univ Fac Math & Comp Sci Machine Learning Ctr Baoding 071002 Peoples R China Harbin Inst Technol Dept Matemat Harbin 150001 Peoples R China Management Comm Baod High tech Ind Dev Zone Baoding 071002 Peoples R China

ISBN: (纸本)9781424410651

It always exists the interactions between different attributes(classifiers), fuzzy integral is often chosen as an aggregation operator to describe the inherent quality which often be omitted. As we know that certain classifier maybe has different classification ability for different classes, then according, to the ideas of class-indifferent fusion to obtain fuzzy densities. In this paper, g-lambda fuzzy measures and Choquet fuzzy integral are chosen to aggregate multiple outputs of trained classifiers in classification. Experimental result indicates that this methodology is effective, however the fusion accuracies are not ideal with respect to g-lambda fuzzy measures.

关键词： multiple classifiers class-conscious fusion class-indifferent fusion decision template

来源：评论

学校读者我要写书评

暂无评论

IBP-SVD: A practical method for learning adaptive dictionaries for image de-noising

IBP-SVD: A practical method for learning adaptive dictionari...

引用

5th international conference on Wavelet Analysis and pattern recognition

作者： Cai, Ze-Min Lai, Jian-Huang Sun Yat Sen Univ Sch Math & Comp Sci Guangzhou Guangdong Peoples R China Sun Yat Sen Univ Sch Informat Sci & Technol Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781424410651

In recent years, there is a growing-interest in the research of sparse representations for signals over an overcomplete dictionary. the Dictionaries can be either pre-specified transforms or designed by learning from a set of training signals. the K-SVD is a dictionary training algorithm recently proposed. However, It can not find the truly sparse representations in sparse coding stage. We analyze the relationship between matching pursuit and basis pursuit algorithms and present another practical method, called IBP-SVD, which can find the sparsest representations frequently. It effectively improves the training speed and the precision of the trained dictionary Experimental results of image de-noising show that IBP-SVD has a better performance than K-SVD method and reduces time in the process of learning dictionaries.

关键词： sparse representation basis pursuit matching pursuit dictionary training K-SVD IBP-SVD

来源：评论

学校读者我要写书评

暂无评论

Distance metric learning through optimization of ranking

Distance metric learning through optimization of ranking

引用

17th IEEE international conference on data mining Workshops, ICDM Workshops 2007

作者： Gopal, Kreshna Ioerger, thomas R. Department of Computer Science Texas A and M University

ISBN: (纸本)0769530192

data preprocessing is important in machine learning, data mining, and pattern recognition. In particular, selecting relevant features in high-dimensional data is often necessary to efficiently construct models that accurately describe the data. For example, many lazy learning algorithms (like k-Nearest Neighbor) rely on feature-based distance metrics to compare input patterns for the purpose of classification or retrieval from a database. In previous work, we introduced Slider, a distance metric learning method that optimizes the weights of features in a protein model-building application (where features are used to describe patterns of electron density around protein macromolecules). In this work, we demonstrate the usefulness of Slider as a general method for classification, ranking and retrieval, with results on several benchmark datasets. We also compare it to other well-known feature selection or weighting methods. © 2007 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Feature selection by combining fisher criterion and principal feature analysis.

Feature selection by combining fisher criterion and principa...

引用

6th international conference on machine learning and Cybernetics

作者： Wang, Sa Liu, Cheng-Lin Zheng, Lian Beijing Inst Technol Sch Aerosp Sci & Engn Beijing 100081 Peoples R China Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100080 Peoples R China

ISBN: (纸本)9781424409723

Feature selection is one of the most important issues in the fields such as data mining, pattern recognition and machine learning. In this study, a new feature selection approach that combines the Fisher criterion and principal feature analysis (PFA) is proposed in order to identify the important (relevant and irredundant) feature subset. the Fisher criterion is used to remove features that are noisy or irrelevant, and then PFA is used to choose a subset of principal features. the proposed approach was evaluated in pattern classification on five publicly available datasets. the experimental results show that the proposed approach can largely reduce the feature dimensionality with little loss of classification accuracy.

关键词： feature selection fisher criterion principal feature analysis (PFA) pattern classification

来源：评论

学校读者我要写书评

暂无评论

Application of ridgelet in cubic data compression

Application of ridgelet in cubic data compression

引用

5th international conference on Wavelet Analysis and pattern recognition

作者： Zeng, Li Li, Zong-Jian Zou, Xiao-Bing Lu, Yan-Ping Hunziker, Patrick. R. Syst Educ Minist China ICT Res Ctr Key Lab Optoelect Technol Chongqing 400044 Peoples R China Chongqing Univ Coll Math & Phys Chongqing 400044 Peoples R China Univ Basel Hosp CH-4031 Basel Switzerland

ISBN: (纸本)9781424410651

Cubic data has two notable characteristics, the first being the large size of the datasets, requiring compression for storing or Internet transfer, the second is possible occurrence of many line or plane singularities which need to be preserved in compressed data. Ridgelet, a new analytic tool, has the ability to describe linear or super-plane singularities. the ridgelet transform can be described as the application of the wavelet transform to the coefficients of the Radon transform. In this paper, on the basis of this theory, two compression strategies for compression of cubic data are examined. the first strategy is the concept of 2D ridgelet compression applied to each slice of the cubic data and the second one is the concept of 3D ridgelet compression applied to the entire cubic data directly. In our strategies, the Radon transform is realized numerically by parallel projection (2D) or cone beam projection (3D), and the wavelet transform is realized by the lifting wavelet transform. these strategies have the following characteristics: embedded coding and strong robustness, all of which can be seen in the results of the numerical experiments.

关键词： wavelet ridgelet cubic data compression embedded coding robustness

来源：评论

学校读者我要写书评

暂无评论

Analysis of partial discharge measurement data using a support vector machine

Analysis of partial discharge measurement data using a suppo...

引用

2007 5th Student conference on Research and Development, SCORED

作者： Aziz, Nur Fadilah Ab Hao, L. Lewin, P.L. Department of Electrical Power Engineering Universiti Tenaga Nasional Km-7 Jalan Kajang-Puchong 43009 Kajang Selangor Malaysia Tony Davies High Voltage Laboratory School of Electronics and Computer Science University of Southampton United Kingdom

ISBN: (纸本)1424414709

this paper investigates the recognition of partial discharge sources by using a statistical learning theory, Support Vector machine (SVM). SVM provides a new approach to pattern classification and has been proven to be successful in fields such as image identification and face recognition. To apply SVM learning in partial discharge classification, data input is very important. the input should be able to fully represent different patterns in an effective way. the determination of features that describe the characteristics of partial discharge signals and the extraction of reliable information from the raw data are the key to acquiring valuable patterns of partial discharge signals. In this paper, data obtained from experiment is carried out in both time and frequency domain. By using appropriate combination of kernel functions and parameters, it is concluded that the frequency domain approach gives a better classification rate. ©2007 IEEE.

关键词： Partial discharges

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317页 << < 267 268 269 270 271 272 273 274 275 276 > >>

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：