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

1,719 篇 会议
45 册 图书
12 篇 期刊文献

馆藏范围

1,775 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,224 篇 工学
- 1,093 篇 计算机科学与技术...
- 629 篇 软件工程
- 253 篇 信息与通信工程
- 200 篇 电气工程
- 177 篇 生物工程
- 99 篇 控制科学与工程
- 98 篇 生物医学工程（可授...
- 60 篇 光学工程
- 46 篇 化学工程与技术
- 45 篇 电子科学与技术（可...
- 41 篇 机械工程
- 41 篇 仪器科学与技术
- 40 篇 安全科学与工程
- 30 篇 交通运输工程
- 28 篇 动力工程及工程热...
- 27 篇 材料科学与工程（可...
456 篇 理学
- 199 篇 数学
- 197 篇 生物学
- 144 篇 物理学
- 83 篇 统计学（可授理学、...
- 51 篇 系统科学
- 46 篇 化学
233 篇 管理学
- 167 篇 图书情报与档案管...
- 86 篇 管理科学与工程(可...
- 43 篇 工商管理
182 篇 医学
- 160 篇 临床医学
- 72 篇 基础医学(可授医学...
- 39 篇 药学(可授医学、理...
- 32 篇 公共卫生与预防医...
34 篇 法学
- 30 篇 社会学
17 篇 经济学
14 篇 教育学
11 篇 农学
2 篇 艺术学
1 篇 军事学

主题

236 篇 machine learning
181 篇 deep learning
137 篇 pattern recognit...
107 篇 feature extracti...
89 篇 support vector m...
88 篇 data mining
74 篇 accuracy
72 篇 training
57 篇 convolutional ne...
50 篇 machine learning...
46 篇 artificial intel...
45 篇 data models
40 篇 neural networks
39 篇 face recognition
38 篇 computational mo...
36 篇 learning systems
36 篇 adversarial mach...
33 篇 predictive model...
32 篇 classification
32 篇 image recognitio...

机构

6 篇 college of compu...
5 篇 xi'an university...
4 篇 badji mokhtar un...
4 篇 shanghai jiao to...
4 篇 institute of big...
4 篇 chitkara centre ...
4 篇 chitkara univers...
4 篇 library shanghai...
3 篇 school of comput...
3 篇 univ chittagong ...
3 篇 chongqing univer...
3 篇 centre of resear...
3 篇 school of comput...
3 篇 school of comput...
3 篇 school of design...
3 篇 korea univ dept ...
3 篇 school of automa...
3 篇 university of mi...
3 篇 shenyang jianzhu...
3 篇 xi'an university...

作者

5 篇 venkatesh svetha
4 篇 ashwini kodipall...
4 篇 zhang yan
4 篇 srinivasa gowri
4 篇 kamel mohamed s.
4 篇 lall brejesh
4 篇 trupthi rao
3 篇 andersson karl
3 篇 peng yang
3 篇 malerba donato
3 篇 karl andersson
3 篇 chaudhury santan...
3 篇 de-shuang huang
3 篇 sekhar c. chandr...
3 篇 wang shuo
3 篇 kamata sei-ichir...
3 篇 mohammad shahada...
3 篇 azizi nabiha
3 篇 phung dinh
3 篇 krasotkina olga

语言

1,696 篇 英文
71 篇 其他
22 篇 中文

检索条件"任意字段=4th International Conference on Machine Learning and Data Minining in Pattern Recognition"

共 1776 条记录，以下是1701-1710 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：

Detecting Distributed Denial of Service (DDoS) attacks through inductive learning

Detecting Distributed Denial of Service (DDoS) attacks throu...

引用

4th international conference on Intelligent data Engineering and Automated learning (IDEAL 2003)

作者： Noh, S Lee, C Choi, K Jung, GH Catholic Univ Korea Sch Comp Sci & Informat Engn Bucheon South Korea Ajou Univ Grad Sch Informat & Commun Suwon 441749 South Korea Ajou Univ Div Elect Engn Suwon 441749 South Korea

ISBN: (纸本)354040550X

As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers. there has been a lot of related work which focuses on analyzing the pattern of the DDoS attacks to protect users from them. However, none of these studies takes all the flags within TCP header into account, nor do they analyze relationship between the flags and the TCP packets. To analyze the features of the DDoS attacks, therefore, this paper presents a network traffic analysis mechanism which computes the ratio of the number of TCP flags to the total number of TCP packets. Based upon the calculation of TCP flag rates, we compile a pair of the TCP flag rates and the presence (or absence) of the DDoS attack into state-action rules using machine learning algorithms. We endow alarming agents with a tapestry of the compiled rules. the agents can then detect network flooding attacks against a Web server. We validate our framework with experimental results in a simulated TCP-based network setting. the experimental results show a distinctive and predictive pattern of the DDoS attacks, and our alarming agents can successfully detect various DDoS attacks.

关键词： Denial-of-service attack

来源：评论

学校读者我要写书评

暂无评论

A qualitative discriminative cohort speakers method to reduce learning data for MLP-based speaker verification systems

A qualitative discriminative cohort speakers method to reduc...

引用

4th international conference on Intelligent data Engineering and Automated learning, IDEAL 2003

作者： Lee, Tae-Seung Choi, Sung-Won Choi, Won-Hyuck Park, Hyeong-Taek Lim, Sang-Seok Hwang, Byong-Won Hankuk Aviation University School of Electronics Telecommunication and Computer Engineering Seoul Korea Republic of

ISBN: (纸本)354040550X

Although multilayer perceptrons (MLPs) present several advantages against other pattern recognition methods, MLP-based speaker verification systems suffer from slow enrollment speed caused by many background speakers to achieve a low verification error. To solve this problem, the quantitative discriminative cohort speakers (QnDCS) method, by introducing the cohort speakers method into the systems, reduced the number of background speakers required to enroll speakers. Although the QnDCS achieved the goal to some extent, the improvement rate for the enrolling speed was still unsatisfactory. To improve the enrolling speed in this paper, the qualitative DCS (QlDCS) has been proposed by introducing a qualitative criterion to select less background speakers. An experiment for both methods is conducted to use the speaker verification system based on MLPs and continuants, and speech database. the results of the experiment show that the proposed QlDCS method enrolls speakers in shorter time than the QnDCS does. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Predicting large population data cumulative match characteristic performance from small population data

引用

4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Johnson, Amos Y. Sun, Jie Bobick, Aaron F. GVU Center/College of Computing Georgia Tech AtlantaGA30332 United States

ISBN: (纸本)9783540403029

Given a biometric feature-space, in this paper we present a method to predict cumulative match characteristic (CMC) curve performance for a large population of individuals using a significantly smaller population to make the prediction. this is achieved by mathematically modelling the CMC curve. For a given biometric technique that extracts measurements of individuals to be used for identification, the CMC curve shows the probability of recognizing that individual within a database of measurements that are extracted from multiple individuals. As the number of individuals in the database increase, the probabilities displayed on the CMC curve decrease, which indicate the decreasing ability of the biometric technique to recognize individuals. Our mathematical model replicates this effect, and allows us to predict the identification performance of a technique as more individuals are added without physically needing to extract measurements from more individuals. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

A real-time hand tracking and multimedia-based system for breast self-examination: the simplified 3D hand model

A real-time hand tracking and multimedia-based system for br...

引用

IEEE EMBS international conference on Information Technology Applications in Biomedicine (ITAB)

作者： Yuqin Hu R.N.G. Naguib A.G. Todman S. Amin A. Oikonomou H. Alomishy BIOCORE School of Mathematical and Information Sciences Coventry University Coventry UK Walsgrave General Hospital Coventry UK

Breast self-examination (BSE) is a non-invasive, self-administered and simple screening procedure for detecting breast cancer at an early stage. this procedure can be performed in private and at any time. A variety of leaflets and websites exist, which attempt to train women on how to perform BSE. there are also some learning systems consisting of videos and audio cassettes. However, there are no fully interactive systems in existence and no real-time feedback is given to a user on whether she is correctly performing the procedure. We aim to develop an intelligent interactive multimedia system incorporating pattern recognition and machine vision techniques, and provide real-time feedback to assist and guide women to perform BSE accurately. Using her hand in a specific configuration to conduct palpation of the breasts is the basic means available for a woman to perform BSE. However, a human hand is highly articulated and deformable with 27 degree-of-freedom parameters according to its anatomy. Recognising hand gestures and postures is a challenging task that has been studied in many areas and applications. In this paper, the simplified three-dimensional (3D) hand model is presented, which has only 8 degree-of-freedom parameters and is especially adapted for use with the breast self-examination system. this model will be a potentially effective simulation and tracking tool that will contribute to BSE learning and thus to the development of an intelligent fully interactive BSE system.

关键词： Real time systems learning systems Feedback Cancer detection Breast cancer Videos Interactive systems Intelligent systems Multimedia systems pattern recognition

来源：评论

学校读者我要写书评

暂无评论

High performance data mining

引用

5th international conference on High Performance Computing for Computational Science, VECPAR 2002

作者： Kumar, Vipin Joshi, Mahesh V. Han, Eui-Hong Sam Tan, Pang-Ning Steinbach, Michael University of Minnesota 4-192 EE/CSci Building 200 Union Street SE MinneapolisMN55455 United States

ISBN: (纸本)3540008527

Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven techniques of extracting useful knowledge. data mining, an important step in this process of knowledge discovery, consists of methods that discover interesting, non-trivial, and useful patterns hidden in the data[SAD+93, CHY96]. the field of data mining builds upon the ideas from diverse fields such as machine learning, pattern recognition, statistics, database systems, and data visualization. But, techniques developed in these traditional disciplines are often unsuitable due to some unique characteristics of today’s data-sets, such as their enormous sizes, high-dimensionality, and heterogeneity. there is a necessity to develop effective parallel algorithms for various data mining techniques. However, designing such algorithms is challenging, and the main focus of the paper is a description of the parallel formulations of two important data mining algorithms: discovery of association rules, and induction of decision trees for classification. We also briefly discuss an application of data mining to the analysis of large data sets collected by Earth observing satellites that need to be processed to better understand global scale changes in biosphere processes and patterns. © Springer-Verlag Berlin Heidelberg 2003.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Face verification competition on the XM2VTS database

引用

4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Messer, Kieron Kittler, Josef Sadeghi, Mohammad Marcel, Sebastien Marcel, Christine Bengio, Samy Cardinaux, F. Sanderson, C. Czyz, J. Vandendorpe, L. Srisuk, Sanun Petrou, Maria Kurutach, Werasak Kadyrov, Alexander Paredes, Roberto Kepenekci, B. Tek, F.B. Akar, G.B. Deravi, Farzin Mavity, Nick University of Surrey Guildford SurreyGU2 7XH United Kingdom Dalle Molle Institute for Perceptual Aritificial Intelligence CP 592 rue du Simplon 4 Martigny1920 Switzerland Universite Catholique de Louvain Batiment StevinPlace du Levant 2 Louvain-la-Neuve1348 Belgium Mahanakorn University of Technology 51 Cheum-Sampan Rd Nong Chok Bangkok10530 Thailand DSIC Universidad Politcnica de Valencia Camino de Vera s/n Valencia46022 Spain Tübitak Bilten ODTÜ Campus Ankara0653 Turkey Electronic Engineering Laboratory University of Kent CanterburyCT2 7NT United Kingdom

ISBN: (纸本)9783540403029

In the year 2000 a competition was organised to collect face verification results on an identical, publicly available data set using a standard evaluation protocol. the database used was the Xm2vts database along with the Lausanne protocol [14]. Four different institutions submitted results on the database which were subsequently published in [13]. three years later, a second contest using the same dataset and protocol was organised as part of AVBPA 2003. this time round seven seperate institutions submitted results to the competition. this paper presents the results of the competition and shows that verification results on this protocol have increased in performance by a factor of 3. © Springer-Verlag Berlin Heidelberg 2003.

关键词： database systems

来源：评论

学校读者我要写书评

暂无评论

machine learning for sequential data: A review 9th

引用

Joint IAPR 9th international Workshop on Structural and Syntactic pattern recognition, SSPR 2002 and 4th international Workshop on Statistical Techniques in pattern recognition, SPR 2002

作者： Dietterich, thomas G. Oregon State University CorvallisOR United States

ISBN: (纸本)3540440119

Statistical learning problems in many fields involve sequential data. this paper formalizes the principal learning tasks and describes the methods that have been developed within the machine learning research community for addressing these problems. these methods include sliding window methods, recurrent sliding windows, hidden Markov models, conditional random fields, and graph transformer networks. the paper also discusses some open research issues. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Hidden Markov models

来源：评论

学校读者我要写书评

暂无评论

An application of machine learning techniques for the classification of glaucomatous progression 9th

引用

Joint IAPR 9th international Workshop on Structural and Syntactic pattern recognition, SSPR 2002 and 4th international Workshop on Statistical Techniques in pattern recognition, SPR 2002

作者： Lazarescu, Mihai Turpin, Andrew Venkatesh, Svetha Department of Computer Science Curtin University GPO Box U1987 Perth6001 Australia

ISBN: (纸本)3540440119

this paper presents an application of machine learning to the problem of classifying patients with glaucoma into one of two classes:stable and progressive glaucoma. the novelty of the work is the use of new features for the data analysis combined with machine learning techniques to classify the medical data. the paper describes the new features and the results of using decision trees to separate stable and progressive cases. Furthermore, we show the results of using an incremental learning algorithm for tracking stable and progressive cases over time. In both cases we used a dataset of progressive and stable glaucoma patients obtained from a glaucoma clinic. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Structural description to recognising Arabic characters using decision tree learning techniques 9th

引用

Joint IAPR 9th international Workshop on Structural and Syntactic pattern recognition, SSPR 2002 and 4th international Workshop on Statistical Techniques in pattern recognition, SPR 2002

作者： Amin, Adnan School of Computer Science University of New South Wales Sydney2052 Australia

ISBN: (纸本)3540440119

Character recognition systems can contribute tremendously to the advancement of the automation process and can improve the interaction between man and machine in many applications, including office automation, cheque verification and a large variety of banking, business and data entry applications. the main theme of this paper is the automatic recognition of hand-printed Arabic characters using machine learning. Conventional methods have relied on handconstructed dictionaries which are tedious to construct and difficult to make tolerant to variation in writing styles. the advantages of machine learning are that it can generalize over the large degree of variation between writing styles and recognition rules can be constructed by example. the system was tested on a sample of handwritten characters from several individuals whose writing ranged from acceptable to poor in quality and the correct average recognition rate obtained using crossvalidation was 87.23%. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Character recognition

来源：评论

学校读者我要写书评

暂无评论

Joint IAPR international Workshops Structural and Syntactic pattern recognition, SSPR 2002 and Statistical Techniques in pattern recognition, SPR 2002

引用

Joint IAPR 9th international Workshop on Structural and Syntactic pattern recognition, SSPR 2002 and 4th international Workshop on Statistical Techniques in pattern recognition, SPR 2002

ISBN: (纸本)3540440119

the proceedings contain 90 papers. the special focus in this conference is on Graphs, Languages, Strings and Grammars. the topics include: Spectral methods for view-based 3-D object recognition using silhouettes;machine learning for sequential data;graph-based methods for vision;reducing the computational cost of computing approximated median strings;tree k-grammar models for natural language modelling and parsing;algorithms for learning function distinguishable regular languages;non-bayesian graph matching without explicit compatibility calculations;spectral feature vectors for graph clustering;identification of diatoms by grid graph matching;string edit distance, random walks and graph matching;learning structural variations in shock trees;a comparison of algorithms for maximum common subgraph on randomly connected graphs;inexact multisub graph matching using graph eigenspace and clustering models;optimal lower bound for generalized median problems in metric space;structural description to recognising arabic characters using decision tree learning techniques;feature approach for printed document image analysis;example-driven graphics recognition;estimation of texels for regular mosaics using model-based interaction maps;using graph search techniques for contextual colour retrieval;comparing shape and temporal PDMs;linear shape recognition with mixtures of point distribution models;curvature weighted evidence combination for shape-from-shading;probabilistic decisions in production nets;an application of machine learning techniques for the classification of glaucomatous progression;estimating the joint probability distribution of random vertices and arcs by means of second-order random graphs.

关键词：

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178页 << < 167 168 169 170 171 172 173 174 175 176 > >>

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：