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

1,747 篇 会议
77 册 图书
45 篇 期刊文献

馆藏范围

1,869 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,271 篇 工学
- 1,023 篇 计算机科学与技术...
- 621 篇 软件工程
- 212 篇 光学工程
- 205 篇 电气工程
- 198 篇 信息与通信工程
- 138 篇 生物医学工程（可授...
- 136 篇 生物工程
- 122 篇 控制科学与工程
- 51 篇 机械工程
- 48 篇 电子科学与技术（可...
- 40 篇 化学工程与技术
- 36 篇 仪器科学与技术
- 22 篇 安全科学与工程
- 19 篇 建筑学
- 19 篇 土木工程
- 17 篇 动力工程及工程热...
- 15 篇 材料科学与工程（可...
691 篇 理学
- 350 篇 数学
- 277 篇 物理学
- 190 篇 生物学
- 108 篇 统计学（可授理学、...
- 44 篇 化学
- 30 篇 系统科学
176 篇 管理学
- 113 篇 图书情报与档案管...
- 74 篇 管理科学与工程(可...
- 21 篇 工商管理
117 篇 医学
- 90 篇 临床医学
- 55 篇 基础医学(可授医学...
- 26 篇 药学(可授医学、理...
27 篇 法学
- 26 篇 社会学
17 篇 农学
12 篇 教育学
7 篇 经济学
7 篇 军事学
5 篇 艺术学
4 篇 文学

主题

426 篇 pattern recognit...
191 篇 pattern recognit...
70 篇 artificial intel...
65 篇 feature extracti...
48 篇 neural networks
42 篇 pattern matching
35 篇 face recognition
35 篇 data mining
35 篇 computer imaging...
33 篇 local binary pat...
31 篇 bioinformatics
27 篇 support vector m...
25 篇 image analysis
24 篇 image processing
24 篇 character recogn...
23 篇 image segmentati...
22 篇 deep learning
22 篇 machine learning
22 篇 image recognitio...
21 篇 pattern classifi...

机构

18 篇 national laborat...
8 篇 chinese acad sci...
6 篇 tsinghua univers...
5 篇 indian statistic...
5 篇 pattern recognit...
5 篇 university of ch...
4 篇 department of co...
4 篇 rehabil inst chi...
4 篇 school of comput...
4 篇 concordia univ c...
4 篇 shanghai jiao to...
4 篇 university of so...
3 篇 centre for patte...
3 篇 univ chinese aca...
3 篇 institute of ima...
3 篇 southwest jiaoto...
3 篇 pattern recognit...
3 篇 chinese acad sci...
3 篇 school of comput...
3 篇 institute for pa...

作者

16 篇 suen ching y.
11 篇 xu bo
8 篇 caelli terry
8 篇 tan tieniu
8 篇 yang jie
7 篇 levi j. hargrove
6 篇 hargrove levi j.
6 篇 zhao jun
6 篇 jain anil k.
6 篇 sun zhenan
6 篇 suen cy
6 篇 ney hermann
6 篇 kropatsch walter...
6 篇 huang taiyi
5 篇 zhou jie
5 篇 de-shuang huang
5 篇 liu cheng-lin
5 篇 zong chengqing
5 篇 oommen b.j.
5 篇 ablameyko s.

语言

1,847 篇 英文
18 篇 其他
5 篇 中文

检索条件"任意字段=6th IAPR International Conference on Pattern Recognition in Bioinformatics"

共 1869 条记录，以下是591-600 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：

An automated method for breast mass segmentation 6

An automated method for breast mass segmentation

引用

6th international conference on Soft Computing and pattern recognition (SoCPaR)

作者： Khouaja, Sourour Jlassi, Hajer Hamrouni, Kamel Natl Engn Sch Tunis Res Unit Signal Image & Pattern Recognit Tunis Tunisia

ISBN: (纸本)9781479959341

Breast cancer continues to be a significant health problem in the world. the most familiar breast anomalies types are mass and microcalcification. However Automatic methods for detecting these abnormalities can identify breast cancer at an early stage. In this paper, we propose a marker-controlled watershed algorithm to locate breast masses. the preprocessing step has been introduced to remove all undesirable areas from mammogram. Foreground and background markers are then selected in order to apply a watershed segmentation algorithm that identifies the location of tumor region in mammogram. the proposed method was successful to segment mass anomalies. It has been tested on publicly available Mammographic Image Analysis Society (MIAS) database and it has achieved an overall mass detection rate of 90.83% and an area Az of 0.913 under the receiver operating characteristic curve ROC for mass segmentation.

关键词： Mammogram mass segmentation pectoral muscle watershed

来源：评论

学校读者我要写书评

暂无评论

Proceedings of the 6th international conference on bioinformatics and Computational Biology, BICOB 2014

Proceedings of the 6th International Conference on Bioinform...

引用

6th international conference on bioinformatics and Computational Biology, BICOB 2014

ISBN: (纸本)9781632665140

the proceedings contain 35 papers. the topics discussed include: hierarchical algorithm for pattern extraction from biological sequences;discoverying compounds that activate plant immunity using machine learning;a K-means based approach for the design of rotamer libraries: preliminary results;semi-supervised classification of protein sequences using burrows wheeler transformation-based features;advanced statistical analysis of RNA-seq differential gene expression profiles of animal gene-environment interactions;potential relationship discovery model base on context and its application in lung cancer field;analyzing conservation patterns and its influence on identifying protein functional sites;new weighting method of protein sequences for protein classification;and predicting protein subcellular localization with reduced feature set.

关键词：

来源：评论

学校读者我要写书评

暂无评论

recognition Methods on Cloud Amount, Movement of Clouds and Rain Clouds for Rainfall Prediction Using Whole Sky Images

Recognition Methods on Cloud Amount, Movement of Clouds and ...

引用

6th international conference on Digital Image Processing (ICDIP)

作者： Fujinuma, Kazuma Arai, Masayuki Teikyo Univ Sch Sci & Engn Tokyo Japan

ISBN: (纸本)9781628411867

the final target of our research is to develop a system for forecasting local concentrated heavy rain, such as guerrilla rainstorms, by using whole sky images taken on the ground. To construct this system, this paper proposes the following recognition methods: cloud amount, movement of clouds, and rain clouds. the experimental results show that red/blue (R/B) values are efficient for measuring the cloud amount. However, using the gravity of images and the difference among time-sequenced images is insufficient to recognize the movement of clouds and does not correlate well with the R/B values and rain.

关键词： pattern recognition cloud amount movement of clouds rain clouds rainfall prediction whole sky images

来源：评论

学校读者我要写书评

暂无评论

6th international conference on Soft Computing and pattern recognition, SoCPaR 2014

6th International Conference on Soft Computing and Pattern R...

引用

6th international conference on Soft Computing and pattern recognition, SoCPaR 2014

ISBN: (纸本)9781479959341

the proceedings contain 81 papers. the topics discussed include: variable hierarchical dependencies in feature selection;bi-spectrum based-EMD applied to the non- stationary vibration signals for bearing faults diagnosis;wireless landmines tracking system based on GPS and GPRS;performance of curvelets, dual-tree complex wavelet and discrete wavelet transform in handwritten word classification;possibility theory for supervised classification of remotely sensed images: a study case in an urban area in Algeria;proposition of a classification system beta-LS-SVM and its application to medical data sets;topological and textural features for off-line signature verification based on artificial immune algorithm;supervised wavelet-network based fuzzy-logic classifier performance on the UCI databases;scintigraphic image segmentation based on grammatical inference and spiral matrix;and microcalcifications detection in mammograms based on ant colony optimization and Markov random field.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Hierarchical algorithm for pattern extraction from biological sequences

Hierarchical algorithm for pattern extraction from biologica...

引用

6th international conference on bioinformatics and Computational Biology, BICOB 2014

作者： Mhamdi, Faouzi Kchouk, Mehdi Research Laboratory of Technologies of Information and Communication and Electrical Engineering University of Tunis ENSIT Tunis Tunisia

ISBN: (纸本)9781632665140

In their primary structure, biological data are represented as a sequence of characters. the aim of this work is to automatically classify protein sequences. To do this, it seemed appropriate to use a data mining process: the process of Knowledge Discovery and Data mining (KDD) from biological data. We focus on the first phase of the KDD that consists in the preprocessing and we focus on pattern extraction task. the pattern extraction results in the generation of a set of descriptors that are presented to a supervised learning algorithm for classification. We will use the n-gram extraction method. the algorithm of ngrams is to fix a priori the value of n, extract n-grams, and work with this value throughout the process of protein classification. In our work, we propose an algorithm for the construction of n-grams to obtain descriptors of varying size. the extraction algorithm is used to meet the needs of biologists. Using the linear SVM classifier, the experiments on real bank show the efficiency of our algorithm while presenting a comparison of our work to previous work. Copyright © (2014) by the international Society for Computers and their Applications.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

A Composite Methodology for Supporting Collaboration pattern Discovery via Semantic Enrichment and Multidimensional Analysis 6

A Composite Methodology for Supporting Collaboration Pattern...

引用

6th international conference on Soft Computing and pattern recognition (SoCPaR)

作者： Cuzzocrea, Alfredo Diamantini, Claudia Genga, Laura Potena, Domenico Storti, Emanuele CNR ICAR Via P Bucci 41C I-87036 Arcavacata Di Rende Italy Univ Calabria I-87036 Arcavacata Di Rende Italy Univ Politecn Marche Dipartimento Ingn Informaz I-60131 Ancona Italy

ISBN: (纸本)9781479959341

Classical process discovery approaches usually investigate logs generated by processes in order to mine and discovery corresponding process schemas. When the collaboration processes case is addressed, such approaches turn to be poorly effective, due to the fact that: (i) logs of collaboration processes are usually stored in heterogenous data storages which also expose different data types;(ii) it is not easy and direct to derive a common analysis model from such logs. As a consequence, classical methodologies usually fail. In order to fulfill this gap, in this paper we describe a composite methodology that combines semantics-based techniques and multidimensional analysis paradigms to support effective and efficient collaboration process discovery from log data.

关键词： data mining pattern recognition semantic networks collaboration pattern discovery collaboration process log storage common analysis model composite methodology data types heterogeneous data storage log generation multidimensional analysis process discovery approach process schema discovery process schema mining semantic enrichment semantic-based techniques Buildings Collaboration Context Data mining Electronic mail Semantics Taxonomy multi-dimensional analysis data mining data types semantic networks electronic mail Semantics Buildings pattern recognition logs

来源：评论

学校读者我要写书评

暂无评论

Searching for patterns in imbalanced data: Methods and alternatives with case studies in life sciences 19

引用

19th Iberoamerican Congress on pattern recognition, CIARP 2014

作者： Famili, A. Fazel Information and Communications Technologies National Research Council Canada 1200 Montreal Road OttawaONK1A 0R6 Canada

ISBN: (纸本)9783319125671

the prime motivation for pattern discovery and machine learning research has been the collection and warehousing of large amounts of data, in many domains such as life sciences and industrial processes. Examples of unique problems arisen are situations where the data is imbalanced. the class imbalance problem corresponds to situations where majority of cases belong to one class and a small minority belongs to the other, which in many cases is equally or even more important. To deal with this problem a number of approaches have been studied in the past. In this talk we provide an overview of some existing methods and present novel applications that are based on identifying the inherent characteristics of one class vs the other. We present the results of a number of studies focusing on real data from life science applications. © Springer international Publishing Switzerland 2014.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Method of driver state detection for safety vehicle by means of using pattern recognition

Method of driver state detection for safety vehicle by means...

引用

6th international conference on Computational Collective Intelligence, ICCCI 2014

作者： Miyaji, Masahiro Aichi Prefectural University NagakuteAichi Japan

ISBN: (纸本)9783319112886

Evolution of preventive safety devices for vehicles is highly expected to reduce the number of traffic accidents. Driver’s state adaptive driving support safety function may be one of solutions of the challenges to lower the risk of being involved in the traffic accident. In the previous study, distraction was identified as one of anormal states of a driver by introducing the Internet survey. this study reproduced driver’s cognitive distraction on a driving simulator by imposing cognitive loads, which were arithmetic and conversation. For classification of a driver’s distraction state, visual features such as gaze direction and head orientation, pupil diameter and heart rate from ECG were employed as recognition features. this study focused to acquire the best classification performance of driver’s distraction by using the AdaBoost, the SVM and Loss-based Error-Correcting Output Coding (LD-ECOC) as classification algorithm. LD-ECOC has potential to further enhance the classification capability of the driver’s psychosomatic states. Finally this study proposed next generation driver’s state adaptive driving support safety function to be extendable to Vehicle-Infrastructure cooperative safety function. © Springer international Publishing Switzerland 2014.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

the research and application of PCA algorithm based recognition technology in the Internet of things

The research and application of PCA algorithm based recognit...

引用

6th international conference on Measuring Technology and Mechatronics Automation (ICMTMA)

作者： Guo Xie-chao Yanan Univ Coll Math & Comp Sci Yanan 716000 Peoples R China

ISBN: (纸本)9781479934348

With the quick development of technology, the Internet of things is becoming one of hie most important components in our society. the Internet of things can make everything connected with Internet, and it is convenient to recognize and manage In the process of recognizing the things in the Internet of things, it will appear irrelative and vague data;and we could not analyze and identity effectively. Focusing on the work of analyzing data, we propose PCA algorithm based technology in this paper, and apply it into works in the Internet of things through the theory and experimental results', we can prove that the technology we propose can select main information from prolix data, and complete the recognition works

关键词： the Internet of things PCA recognition technology pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Mathematical Methodologies in pattern recognition and Machine Learning: Contributions from the international conference on pattern recognition

引用

2014年

作者： Pedro Latorre Carmona J Salvador Sánchez Ana Luisa N Fred

ISBN: (纸本)9781493900923

this volume features key contributions from the international conference on pattern recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, *** conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of pattern recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the *** book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics andfor differential geometers and mathematical physicists.

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187页 << < 56 57 58 59 60 61 62 63 64 65 > >>

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：