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

3,133 篇 会议
171 册 图书
28 篇 期刊文献

馆藏范围

3,331 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,241 篇 工学
- 2,038 篇 计算机科学与技术...
- 1,086 篇 软件工程
- 402 篇 信息与通信工程
- 358 篇 电气工程
- 249 篇 生物工程
- 169 篇 控制科学与工程
- 157 篇 生物医学工程（可授...
- 73 篇 光学工程
- 73 篇 化学工程与技术
- 68 篇 机械工程
- 63 篇 仪器科学与技术
- 59 篇 电子科学与技术（可...
- 58 篇 安全科学与工程
- 47 篇 交通运输工程
- 38 篇 材料科学与工程（可...
- 38 篇 动力工程及工程热...
718 篇 理学
- 378 篇 数学
- 273 篇 生物学
- 168 篇 物理学
- 147 篇 统计学（可授理学、...
- 104 篇 系统科学
- 70 篇 化学
460 篇 管理学
- 298 篇 图书情报与档案管...
- 200 篇 管理科学与工程(可...
- 96 篇 工商管理
300 篇 医学
- 273 篇 临床医学
- 125 篇 基础医学(可授医学...
- 70 篇 药学(可授医学、理...
- 53 篇 公共卫生与预防医...
64 篇 法学
- 57 篇 社会学
32 篇 经济学
31 篇 教育学
28 篇 农学
6 篇 艺术学
3 篇 军事学
1 篇 文学

主题

545 篇 data mining
543 篇 machine learning
286 篇 pattern recognit...
239 篇 deep learning
188 篇 feature extracti...
160 篇 support vector m...
156 篇 artificial intel...
120 篇 training
118 篇 accuracy
115 篇 machine learning...
95 篇 data models
91 篇 data mining and ...
75 篇 classification
72 篇 neural networks
70 篇 convolutional ne...
68 篇 predictive model...
67 篇 big data
64 篇 computational mo...
57 篇 sentiment analys...
55 篇 learning systems

机构

10 篇 chinese academy ...
9 篇 chitkara centre ...
8 篇 zhejiang univers...
7 篇 guangdong univer...
7 篇 centre of resear...
6 篇 central south un...
6 篇 unsw sydney
6 篇 college of compu...
5 篇 badji mokhtar un...
5 篇 xi'an university...
5 篇 indian statistic...
5 篇 southwest jiaoto...
5 篇 kobe university ...
5 篇 southern univers...
4 篇 columbia univers...
4 篇 chitkara univers...
4 篇 shanghai jiao to...
4 篇 institute of big...
4 篇 centre for patte...
4 篇 shandong institu...

作者

12 篇 de-shuang huang
12 篇 venkatesh svetha
8 篇 petra perner
7 篇 phung dinh
7 篇 jacek m. zurada
7 篇 krasotkina olga
7 篇 mottl vadim
6 篇 zheng-guang wu
6 篇 ryszard tadeusie...
6 篇 marcin korytkows...
6 篇 hongyi li
6 篇 chaojie li
6 篇 biao luo
6 篇 lotfi a. zadeh
6 篇 kang-hyun jo
6 篇 leszek rutkowski
6 篇 long cheng
6 篇 zhongzhi shi
5 篇 zhang yan
5 篇 vitoantonio bevi...

语言

3,198 篇 英文
117 篇 其他
32 篇 中文

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

共 3332 条记录，以下是2921-2930 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 new incremental optimal feature extraction method for on-line applications

引用

4th international conference on Image Analysis and recognition

作者： Ghassabeh, Youness Aliyari Moghaddam, Hamid Abrishami KN Toosi Univ Technol Dept Elect Engn Tehran Iran

ISBN: (纸本)9783540742586

In this paper, we introduced new adaptive learning algorithms to extract linear discriminant analysis (LDA) features from multidimensional data in order to reduce the data dimension space. For this purpose, new adaptive algorithms for the computation of the square root of the inverse covariance matrix Sigma (-1/2) are introduced. the proof for the convergence of the new adaptive algorithm is given by presenting the related cost function and discussing about its initial conditions. the new adaptive algorithms are used before an adaptive principal component analysis algorithm in order to construct an adaptive multivariate multi-class LDA algorithm. Adaptive nature of the new optimal feature extraction method makes it appropriate for on-line pattern recognition applications. Both adaptive algorithms in the proposed structure are trained simultaneously, using a stream of input data. Experimental results using synthetic and real multi-class multi-dimensional sequence of data, demonstrated the effectiveness of the new adaptive feature extraction algorithm.

关键词： adaptive learning algorithm adaptive linear discriminant analysis feature extraction

来源：评论

学校读者我要写书评

暂无评论

True 2-D all phase filter bank and its application for image compression

True 2-D all phase filter bank and its application for image...

引用

5th international conference on Wavelet Analysis and pattern recognition

作者： Xu, Ni-Ni Wang, Li-Ning Xiao, Zhi-Tao Tianjin Polytech Univ Sch Commun & Elect Informat Engn Tianjin 300160 Peoples R China

ISBN: (纸本)9781424410651

Based on all phase theory this paper designed three kinds of true 2-D all phase filter bank (true 2-D APFB), which can be used to decompose and recompose image data in true 2-D directly. If quantification error of filters is ignored, the true 2-D APFBs have perfect reconstruction property. To reduce computation, they are implemented in lifting scheme. Simulation has shown that true 2-D APFBs have nicer data compression property. With the same compression rate, PSNR of IDCT_AFB7.7 is less 0.7dB at most than Daubechies9/7 wavelet's, for true 2-D APFBs adopt quadtree SPIHT coding method which is suitable for separable 2-D wavelet transform. For true 2-D filter banks, binary tree SPIHT coding should be adopted to gel better performance in compression.

关键词： true 2-D all phase filter bank lifting scheme data compression

来源：评论

学校读者我要写书评

暂无评论

Study of clustering algorithm based on model data

Study of clustering algorithm based on model data

引用

6th international conference on machine learning and Cybernetics

作者： Li, Kai Cui, Li-Juan HeBei Univ Sch Math & Comp Baoding 071002 Peoples R China HeBei Univ Lib Baoding 071002 Peoples R China

ISBN: (纸本)9781424409723

Clustering technique is a key tool in data mining and pattern recognition. Usually, objects for some traditional clustering algorithms are expressed in the form of vectors, which consist of some components to be described as features. However, objects in real tasks may be some models which are clustered other than data points, for example! neural networks, decision trees, support vector machines, etc. this paper studies the clustering algorithm based on model data. By defining the extended measure, clustering methods are studied for the abstract data objects. Framework of clustering algorithm for models is presented. To validate the effectiveness of models clustering algorithm, we choose the hierarchical model clustering algorithm in the experiments. Models in clustering algorithm are BP(Back Propagation) neural networks and learning method is BP algorithm. Measures are chosen as both same-fault measure and double-fault measure for pairwise of models. Distances between clusters are the single link and the complete link, respectively. By this way, we may obtain part of neural network models which are from each cluster and improve diversity of neural network models. then, part of models is ensembled. Moreover, we also study the relations between the number of clusters in clustering analysis, the size of ensemble learning, and performance of ensemble learning by experiments. Experimental results show that performance of ensemble learning by choosing part of models using clustering of models is improved.

关键词： model clustering measure space validation of clustering diversity

来源：评论

学校读者我要写书评

暂无评论

Variable width elliptic Gaussian kernels for probability density estimation

Variable width elliptic Gaussian kernels for probability den...

引用

8th international conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services

作者： Pokrajac, Dragoljub Latecki, Longin Jan Lazarevic, Aleksandar Nikolic, Jelena Delaware State Univ Dept Comp & Informat Sci Appl Math Res Ctr 1200 N DuPont Hwy Dover DE USA Temple Univ CIS Dept Philadelphia PA 19122 USA CREOSA & United Technol Res Ctr E Hartford CT 06108 USA Univ Nis Fac Elect Engn Nish Serbia Delaware State Univ Dept Comp & Informat Sci Ctr Res & Educ Opt Sci & Appl Dover DE USA

ISBN: (纸本)9788685195549

Estimation of probability density functions based on available data is important problem arising in various fields, such as telecommunications, machine learning, data mining, pattern recognition and computer vision. In this paper, we consider Kernel-based non-parametric density estimation methods and derive formulae for variable kernel density estimation using generalized, elliptic Gaussian kernels. the proposed technique is verified on simulated data.

关键词： pattern recognition non-parametric density estimation variable kernel density estimation generalized Gaussian kernels

来源：评论

学校读者我要写书评

暂无评论

Tracking of multiple targets using on-line learning for appearance model adaptation

引用

4th international conference on Image Analysis and recognition

作者： Pernkopf, Franz Graz Univ Technol A-8010 Graz Austria

ISBN: (纸本)9783540742586

We propose visual tracking of multiple objects (faces of people) in a meeting scenario based on low-level features such as skin-color, target motion, and target size. Based on these features automatic initialization and termination of objects is performed. Furthermore, on-line learning is used to incrementally update the models of the tracked objects to reflect the appearance changes. For tracking a particle filter is incorporated to propagate sample distributions over time. We discuss the close relationship between our implemented tracker based on particle filters and genetic algorithms. Numerous experiments on meeting data demonstrate the capabilities of our tracking approach.

关键词： Target tracking

来源：评论

学校读者我要写书评

暂无评论

A data classifier based on TOPSIS method

A data classifier based on TOPSIS method

引用

4th international conference on Fuzzy Systems and Knowledge Discovery

作者： Jiang, Wei Zhong, Xiaoqiang Chen, Kai Zhang, Shanshan Univ Sci & Technol China Sch Engn Sci POB 4 Hefei 230026 Peoples R China Univ Sci & Technol China Dept Precis Machinery & Precis Instrumentat Hefei 230026 Peoples R China

ISBN: (纸本)9780769528748

As a multiple criteria decision making (MCMD) technique, the technique for order preference by similarity to ideal solution(TOPSIS) traditionally has been applied in multiple criteria decision analysis. Based on ***'s data mining model, the TOPSIS model presented in this paper has improved from two aspects. Firstly, it extents to deal with both crisp and fuzzy data;Secondly, in order to really following automatic machine learning principles to the largest extent, the weights must be immune to the subjective element and the data noise. Here, the weights are obtained from data sets based on support vector regression(SVR), which is a more robust and efficient data regression method than the traditional data regression method. thus the proposed model can provide additional efficient tool for comparative analysis of data sets. We apply it in supply chain complexity evaluation, and simulation is used to validate the proposed models.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Research on video segmentation via active learning

Research on video segmentation via active learning

引用

4th international conference on Image and Graphics

作者： Tan, Wenwei Teng, Shaohua Zhang, Wei Guangdong Univ Technol Guangzhou Peoples R China

ISBN: (纸本)9780769529295

We propose a method to video segmentation via active learning. Shot segmentation is an essential first step to video segmentation.. the color histogram-based shot boundary detection algorithm is one of the most reliable variants of histogram-based detection algorithms. It is not unreasonable to assume that the color content does not change rapidly within but across shots. thus, we present a metric based on blocked color histogram (BCH) for inter-frame difference. Our metric is the normalized intersection of BCH between contiguous frames. Hard cuts and gradual shot transitions can be detected as valleys in the time series of the differences between color histograms of contiguous frames or of frames a certain distance apart. We try to estimate the valleys on the frame-to-frame difference curve. Each kind of shot transition (Cut or Gradual shot transition) has its own characteristic. pattern corresponding with valleys. therefore shot detection can be viewed as pattern recognition. We employ the support vector machine (SVM) via active learning to classify shot boundaries and non-boundaries Our method is evaluated on the TRECVID benchmarking platform and the experimental results reveal the effectiveness and robustness of the method.

关键词： Support vector machines

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

Spoken language understanding software for language learning

Spoken language understanding software for language learning

引用

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

作者： Alam, Hassan Kumar, Aman Rahman, Fuad Hartono, Rachmat Tarnikova, Yuliya BCL Technol 990 Linden Dr Santa Clara CA USA

ISBN: (纸本)9781934272084

In this paper we describe a preliminary, work-in-progress Spoken Language Understanding Software (SLUS) with tailored feedback options, which uses interactive spoken language interface to teach Iraqi Arabic and culture to second language learners. the SLUS analyzes input speech by the second language learner and grades for correct pronunciation in terms of supra-segmental and rudimentary segmental errors such as missing consonants. We evaluated this software on training data with the help of two native speakers, and found that the software recorded an accuracy of around 70% in law and order domain. For future work, we plan to develop similar systems for multiple languages.

关键词： speech processing speech recognition intonation language learning support vector machine

来源：评论

学校读者我要写书评

暂无评论

Efficient fuzzy rule generation: A new approach using data mining principles and rule weighting

Efficient fuzzy rule generation: A new approach using data m...

引用

4th international conference on Fuzzy Systems and Knowledge Discovery

作者： Dehzangi, O. Zolghadri, M. J. Taheri, S. Fakhrahmad, S. M. Islamic Azad Univ Marvdasht Dept Comp Engn Marvdasht Iran Shiraz Univ Dept Comp Sci & Engn Shiraz Iran Islamic Azad Univ Shiraz Dept Comp Engn Shiraz Iran

ISBN: (纸本)0769528740

Classification Systems have been widely applied in different fields such as medical diagnosis. A fuzzy rule-based classifcation system (TRBCS) is one of the most popular approaches used in pattern classification problems. One advantage of a fuzzy rule-based system is its interpretability. However, we're faced with some challenges when generating the rule-base. In high dimensional problems, we can not generate every possible rule with respect to all antecedent combinations. In this paper, by making the use of some data mining concepts, we propose a method for rule generation, which can result in a rule-base containing rules of different lengths. then, our rule learning algorithm based on R.O.C analysis tunes the rule-base to have better classification ability. Our goal in this article, is to check if generating cooperative rule-bases containing rules of different dimensions, can lead to better generalization ability. To evaluate the performance of the proposed method, a number of UCI-ML data sets were used. the results show that considering cooperation in a rule-base tuned by rule weighting process can improve the classification accuracy. It is also shown that increasing the maximum length of rules in the initial rule-base, improves the classification accuracy.

关键词： pattern classification fuzzy systems data mining rule weighting Noise Removal

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334页 << < 289 290 291 292 293 294 295 296 297 298 > >>

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：