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2611-2620 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：

Intelligent hybrid system for pattern recognition and classification 08

Intelligent hybrid system for pattern recognition and classi...

引用

5th international conference on Soft Computing As Transdisciplinary Science and Technology, CSTST '08

作者： Jordanov, Ivan Georgieva, Antoniya School of Computing University of Portsmouth Portsmouth PO1 3HE United Kingdom Nuffield Department of Obstetrics and Gynaecology University of Oxford Oxford OX3 9DU United Kingdom

ISBN: (纸本)9781605580463

In this study, we critically analyse and compare performances of several global optimization (GO) approaches with our hybrid GLPτS method, which uses meta-heuristic rules and a local search in the final stage of finding a global solution. We also critically investigate a Stochastic Genetic Algorithm (StGA) method to demonstrate that there are some loopholes in its algorithm and assumptions. Subsequently, we employ the GLPτS method for neural network (NN) supervised learning, when using our intelligent system for solving real-world pattern recognition and classification problem. In the preprocessing data phase, our system also uses Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for dimensionality reduction and minimization of the chosen number of features for the classification problem. Finally, the reported results are compared with Backpropagation (BP) to demonstrate the competitive properties and the efficiency of our system. Copyright 2008 ACM.

关键词： Global optimization

来源：评论

学校读者我要写书评

暂无评论

A stagewise least square loss function for classification

A stagewise least square loss function for classification

引用

8th SIAM international conference on data mining 2008, Applied Mathematics 130

作者： Yang, Shuang-Hong Hu, Bao-Gang National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9781605603179

this paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex loss function in a stagewise manner. Several benefits are obtained from using the SLS loss function, such as: (i) higher generalization accuracy and better scalability than classical least square loss;(ii) improved performance and robustness than convex loss (e.g., hinge loss of SVM);(iii) computational advantages compared with nonconvex loss (e.g. ramp loss in ψ-learning);(iv) ability to resist myopia of Empirical Risk Minimization and to boost the margin without boosting the complexity of the classifier. In addition, it naturally results in a kernel machine which is as sparse as SVM, yet much faster and simpler to train. A fast online learning algorithm with an integrated sparsification procedure is also provided. Experimental results on several benchmarks confirm the advantages of the proposed approach.

关键词： Least squares approximations

来源：评论

学校读者我要写书评

暂无评论

pattern mining for routine behaviour discovery in pervasive healthcare environments

Pattern mining for routine behaviour discovery in pervasive ...

引用

5th Int conference on Information Technol and Applications in Biomedicine in Conjunction with the 2nd Int Symposium and Summer School on Biomedical and Health Engineering

作者： Ali, Raza ElHelw, Mohamed Atallah, Louis Lo, Benny Yang, Guang-Zhong Univ London Imperial Coll Sci Technol & Med Dept Comp London SW7 2AZ England

ISBN: (纸本)9781424422548

Pervasive sensing is set to transform the future of patient care by continuous and intelligent monitoring of patient well-being. In practice, the detection of patient activity patterns over different time resolutions can be a complicated procedure, entailing the utilisation of multi-tier software architectures and processing of large volumes of data. this paper describes a scalable, distributed software architecture that is suitable for managing continuous activity data streams generated from body sensor networks. A novel pattern mining algorithm is applied to pervasive sensing data to obtain a concise, variable-resolution representation of frequent activity patterns over time. the identification of such frequent patterns enables the observation of the inherent structure present in a patient's daily activity for analyzing routine behaviour and its deviations.

关键词： body sensor networks frequent pattern mining activity recognition behaviour profiling

来源：评论

学校读者我要写书评

暂无评论

Cost-sensitive XCS Classifier System Addressing Imbalance Problems

Cost-sensitive XCS Classifier System Addressing Imbalance Pr...

引用

5th international conference on Fuzzy Systems and Knowledge Discovery

作者： thach, Nguyen Huy Rojanavasu, Porntep Pinngern, Ouen King Mongkuts Inst Technol Ladkrabang ReCCIT Fac Engn Dept Comp Engn Bangkok 10520 Thailand

ISBN: (纸本)9780769533056

the class imbalance problem has been recognized as a crucial problem in machine learning and data mining. learning systems tend to be biased towards the majority class and thus have poor generalization for the minority class instances. this paper analyses the imbalance problem in accuracy-based learning classifier systems. In particular, we propose a novel approach based on XCS classifier system and cost-sensitive learning. In our approach, the reward value of correctly identifying the positive (rare) class outweighs the value of correctly identifying the common class. this research provides guidelines to set reward base on the dataset imbalance ratio and a method to calculate reward online base on the information collected by XCS during training is also proposed. Experimental results on synthetic and real-life datasets show that, with appropriate reward settings, XCS is robust to class imbalances.

关键词： Classification learning Classifier System XCS cost-sensitive learning imbalance problem

来源：评论

学校读者我要写书评

暂无评论

data indexing for video shot mining based on optical flow

Data indexing for video shot mining based on optical flow

引用

5th international conference on Visual Information Engineering, VIE 2008

作者： Chen, Ying Hu, WeiMing Wu, Ou Zeng, XiangLin Department of Basic Sciences Beijing Electronic Science and Technology Institute Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780863419140

Summarizing and understanding video shot based on their contents is an important research topic in multimedia data mining. this paper presents an efficient algorithm based on optical flow field to mine the motion data contained in a given video shot. Two features called magnitude of motion pixel and direction of motion pixel are constructed respectively and adopted to split the video shot into some categories automatically. the corresponding indexical structure is extracted from each category and directly applied to motion- based queries. A test system has been developed to prove the validity of our algorithm. the experimental results show that the algorithm performs well and will play an important role in content-based video shot retrieval. ©2008 the Institution of Engineering and Technology.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Shape learning with function-described graphs

引用

5th international conference on Image Analysis and recognition

作者： Sanroma, Gerard Serratosa, Francese Alquezar, Rene Departament d'Enginyeria Informàtica i Matemàtiques Universitat Rovira i Virgili Spain Departament de Llenguatges i Sistemes Informàtics Universitat Politècnica de Catalunya Spain

ISBN: (纸本)9783540698111

A new method for shape learning is presented in this paper. this method incorporates abilities from both statistical and structural pattern recognition approaches to shape analysis. It borrows from statistical pattern recognition the capability of modelling sets of point coordinates, and from structural pattern recognition the ability of dealing with highly irregular patterns, such as those generated by points missingness. To that end we use a novel adaptation of Procrustes analysis, designed by us to align sets of points with missing elements. We use this information to generate sets of attributed graphs (AGs). From each set of AGs we synthesize a function-described graph (FDG), which is a type of compact representation that has the capability of probabilistic modelling of both structural and attribute information. Multivariate normal probability density estimation is used in FDGs instead of the originally used histograms. Comparative results of classification performance are presented of structural vs. attributes + structural information.

关键词： intermittently present landmarks missing data shape analysis procrustes analysis attributed graph function-described graph

来源：评论

学校读者我要写书评

暂无评论

Neighborhood Preprocessing SVM for Large-scale data Sets Classification

Neighborhood Preprocessing SVM for Large-scale Data Sets Cla...

引用

5th international conference on Fuzzy Systems and Knowledge Discovery

作者： Chen, Guangxi Xu, Jian Xiang, Xiaolin Guilin Univ Elect Technol Sch Math & Comp Sci Guilin 541004 Peoples R China AnHui Univ Finance & Econ Sch Stat & Appl Math Beng Bu 233030 Peoples R China Sichuan Univ Coll Business Management Chengdu 610041 Peoples R China

ISBN: (纸本)9780769533056

Support vector machine (SVM) has been a promising method for data mining and machine learning in recent years. However, the training complexity of SVM is highly dependent on the size of a data set. A preprocessing Support Vector machines (PSVM) method for large-scale data set classification is presented to speed up SVM training. By analyzing the neighbor classification feature for each sample in training data set, a decision criterion was built to keep or delete this sample from the original data set without losing the classification. the new method can provide an SVM with high quality samples. Experiments with random data and UCI databases show that SVM with our new preprocessing method retains the high quality of training data set and the classification accuracy very well.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

pattern recognition by DTW and Series data mining in 3D Stratum Modelling and 3D Visualization

Pattern Recognition by DTW and Series Data Mining in 3D Stra...

引用

5th international conference on Fuzzy Systems and Knowledge Discovery

作者： Chen, Oiang Zhang, Chao Mo Zhang, Ying Fang Song, Wan Qing Shanghai Univ Engn Sci Ctr Comp Shanghai 201620 Peoples R China Yangtze Univ Minist Educ Key Lab Explorat Tchnol Oil & Gas Res Hubei 434100 Peoples R China

ISBN: (纸本)9780769533056

three-dimension(3D) modeling and visualization of stratum plays important role in seismic active fault detection,of course in GeoInformation science. Well-logging data of strata is taken as time series. Similarity measure of subsequence search is proposed based on dynamic time warping (DTW), Realizing time series match in different length of time series. the frequent pattern mining experiment is carried on to survey data of strata by multivariable combination analysis, We supply the stratum geophysics attribute by the depth (time) records sequence in the non-drill hole survey data's places using these frequent patterns, combining structure frame and mathematics geology interpolation technology, establish 3D geology model of the target area,and develop the underground geologic body 3D visualization software depending on visual studio. net and OpenGL graph packages, realize 3D visualization system.

关键词： dynamic time warping (DTW) three-Dimension (3D) Modeling and visualization stratum modelling 3D geology model

来源：评论

学校读者我要写书评

暂无评论

A Survey on Statistical pattern Feature Extraction

引用

4th international conference on Intelligent Computing

作者： Ding, Shifei Jia, Weikuan Su, Chunyang Jin, Fengxiang Shi, Zhongzhi China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221008 Peoples R China Acad Sinica Key Lab Intelligent Informat Proc Inst Comop Technol Beijing 100080 Peoples R China Agr Univ Coll Plant Protection Tai An Shandong 271018 Peoples R China Shandong Univ Sci Technol Coll Geoinformation Sci Engn Qingdao 266510 Peoples R China

ISBN: (纸本)9783540859833

the goal of statistical pattern feature extraction (SPFE) is 'low loss dimension reduction'. As the key link of pattern recognition, dimension reduction has become the research hot spot and difficulty in the fields of pattern recognition, machine learning, data mining and so on. pattern feature extraction is one of the most challenging research fields and has attracted the attention from many scholars. this paper summarily introduces the basic principle of SPFE, and discusses the latest progress of SPFE from the aspects such as classical statistical theories and their modifications, kernel-based methods, wavelet analysis and its modifications, algorithms integration and so on. At last we discuss the development trend of SPFE.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

Feature extraction for improving the support vector machine biomedical data classifier performance

Feature extraction for improving the support vector machine ...

引用

5th Int conference on Information Technol and Applications in Biomedicine in Conjunction with the 2nd Int Symposium and Summer School on Biomedical and Health Engineering

作者： Kostka, Pawel S. Tkacz, Ewaryst J. Silesian Tech Univ Inst Elect Gliwice Poland

ISBN: (纸本)9781424422548

A support vector machine (SVM) is a relatively novel classifier based on the statistical learning theory. To increase the performance of classification, presented study focuses on the mixed domain (time&frequency) feature extraction preliminary to SVM application. Time and frequency domain selected features and discrete fast wavelet transform coefficients parameters including energy and entropy measures were the component of new feature vector. SVM classifier structure were adjusted by the selection of optimal for analysed application its kernel functions:both polynomial and radial basis functions. System was positively verified on the set of clinically classified ECG signals for control and atrial fibrillation (AF) disease patients taken from MITBIH data base. the measures of specificity and sensitivity computed for the set of 20 AF and 20 patients from control group divided into learning and verifying subsets were used to evaluate presented pattern recognition structure. Different types of wavelet basic function for feature extraction stage were tested to find the best system structure. Obtained results showed, that the ability of generalization for enriched feature extraction (FE)-SVM based system increased, due to selectively choosing only the most representative features for analyzed AF detection problem.

关键词： Feature extraction

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 << < 258 259 260 261 262 263 264 265 266 267 > >>

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：