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

6,793 篇 会议
630 册 图书
130 篇 期刊文献

馆藏范围

7,552 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

3,899 篇 工学
- 3,090 篇 计算机科学与技术...
- 1,403 篇 软件工程
- 794 篇 电气工程
- 679 篇 信息与通信工程
- 503 篇 控制科学与工程
- 299 篇 生物工程
- 281 篇 生物医学工程（可授...
- 265 篇 机械工程
- 191 篇 光学工程
- 163 篇 电子科学与技术（可...
- 145 篇 仪器科学与技术
- 140 篇 化学工程与技术
- 59 篇 安全科学与工程
- 45 篇 材料科学与工程（可...
- 36 篇 交通运输工程
1,222 篇 理学
- 673 篇 数学
- 356 篇 物理学
- 334 篇 生物学
- 198 篇 统计学（可授理学、...
- 147 篇 化学
- 105 篇 系统科学
553 篇 管理学
- 314 篇 管理科学与工程(可...
- 255 篇 图书情报与档案管...
- 59 篇 工商管理
274 篇 医学
- 230 篇 临床医学
- 109 篇 基础医学(可授医学...
- 75 篇 药学(可授医学、理...
66 篇 法学
- 62 篇 社会学
51 篇 艺术学
- 49 篇 设计学（可授艺术学...
42 篇 农学
- 39 篇 作物学
21 篇 教育学
19 篇 文学
18 篇 经济学
5 篇 军事学

主题

3,150 篇 pattern recognit...
535 篇 feature extracti...
429 篇 artificial intel...
385 篇 neural networks
295 篇 data mining
278 篇 machine learning
234 篇 face recognition
224 篇 pattern matching
215 篇 support vector m...
203 篇 image segmentati...
194 篇 pattern classifi...
193 篇 computer imaging...
183 篇 computer science
182 篇 local binary pat...
168 篇 computational mo...
159 篇 computer vision
147 篇 humans
146 篇 testing
142 篇 accuracy
141 篇 training

机构

40 篇 school of comput...
38 篇 national laborat...
25 篇 institute of ima...
24 篇 center for resea...
24 篇 computer vision ...
22 篇 institute of ima...
22 篇 university of ch...
21 篇 department of co...
20 篇 indian statistic...
19 篇 national laborat...
19 篇 institute of com...
16 篇 tongji universit...
16 篇 chinese academy ...
15 篇 institute for pa...
14 篇 national center ...
14 篇 chinese acad sci...
14 篇 częstochowa univ...
13 篇 agh university o...
13 篇 school of electr...
12 篇 indian stat inst...

作者

35 篇 yang jie
31 篇 de-shuang huang
25 篇 tieniu tan
23 篇 umapada pal
19 篇 ryszard tadeusie...
19 篇 liang wang
18 篇 ajith abraham
17 篇 marcin korytkows...
17 篇 lu hanqing
17 篇 jacek m. zurada
17 篇 leszek rutkowski
16 篇 jie yang
16 篇 zhenan sun
16 篇 shamsuddin siti ...
16 篇 pal umapada
15 篇 wang da-han
15 篇 chew lim tan
15 篇 rafał scherer
14 篇 xu changsheng
14 篇 lotfi a. zadeh

语言

7,403 篇 英文
84 篇 其他
77 篇 中文

检索条件"任意字段=International Conference on Soft Computing and Pattern Recognition"

共 7554 条记录，以下是4791-4800 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 Clustering Method Based on Weighted Kernel K-Means for Non-linear Data

A New Clustering Method Based on Weighted Kernel K-Means for...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Abdolreza Rasouli Mohd Aizaini Bin Maarof Mahboubeh Shamsi Faculty of Computer Science and Information System Universiti Teknologi Malaysia Skudai Malaysia Faculty of Computer Science and Information System Islamic Azad University Bardsir Iran

Clustering is the process of gathering objects into groups based on their feature's similarity. In this paper, we concentrate on Weighted Kernel K-Means method for its capability to manage nonlinear separability and high dimensionality in the data. A new slight modification of WKM algorithm has been proposed and tested on real Rice data. The results show that the accuracy of proposed algorithm is higher than other famous clustering algorithm and ensures that the WKM is a good solution for real world problems.

关键词： Clustering methods Kernel Clustering algorithms Machine learning algorithms Data mining Atmospheric modeling Vegetation mapping pattern recognition Computer science Management information systems

来源：评论

学校读者我要写书评

暂无评论

Development of Kernel Fisher Discriminant Model Using the Cross-Entropy Method

Development of Kernel Fisher Discriminant Model Using the Cr...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Budi Santosa Andiek Sunarto Department of Industrial Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia

In this paper, the cross-entropy (CE) method is proposed to solve non-linear discriminant analysis or kernel Fisher discriminant (CE-KFD) analysis. CE through certain steps can find the optimal or near optimal solution with a fast rate of convergence for optimization problem. While, KFD is to solve problem of Fisher's linear discriminant in a kernel feature space F by maximizing between class variance and minimizing within class variance. Through the numerical experiments, we found that CE-KFD demonstrates the high accuracy of the results compared to the traditional methods, Fisher LDA and kernel Fisher (KFD) with eigen decomposition method.

关键词： Kernel Shape Curve fitting Phase detection Image segmentation Iterative algorithms pattern recognition Information science Data mining Computer graphics

来源：评论

学校读者我要写书评

暂无评论

Fast 4x4 Tchebichef Moment Image Compression

Fast 4x4 Tchebichef Moment Image Compression

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Wong Siaw Lang Nur Azman Abu Hidayah Rahmalan Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Malacca Malaysia

This paper proposes a new approach based on 4×4 discrete orthogonal Tchebichef moment for fast and efficient image compression. The method incorporates a simplified mathematical framework technique using matrices, as well as a block-wise reconstruction technique to eliminate possible occurrences of numerical instabilities at higher moment orders. The comparison between 4×4 Tchebichef moment transform and discrete cosine transform has been done. The results show significant advantages for 4×4 Tchebichef moment in terms of its error reconstruction and average bit-length of Huffman codes.

关键词： Image coding Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories

来源：评论

学校读者我要写书评

暂无评论

Foreground and Shadow Segmentation by Exploiting Multiple Cues

Foreground and Shadow Segmentation by Exploiting Multiple Cu...

引用

3rd international Workshop on e-Activity (IWEA2009)/10th ACIS international conference on software Engineering Artificial Intelligence, Networking and Parallel/Distributed computing

作者： Gao Junxiang Zhang Hao Liu Yong Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100876 Peoples R China

ISBN: (纸本)9780769536422

To segment foreground objects and moving shadows in visual surveillance environment, this paper proposes an algorithm by exploiting color information, illumination invariants and spatial information. The presence of a shadow is first hypothesized with simple evidence that shadows darken the surface which they are cast upon. Derivatives of illumination invariants are then used to classify the potential shadow pixels extracted in previous step. To increase the accuracy of shadow detection, two types of spatial analysis are designed to verify actual shadow pixels. Experimental results show that the proposed algorithm can detect moving shadow effectively on indoor and outdoor video sequences. The performance of the method is considerably higher than that of the two well-known shadow detection methods, and it is robust against changing illumination.

关键词： pattern recognition moving shadow detection intelligent video surveillance

来源：评论

学校读者我要写书评

暂无评论

The Effect of Different Forms of Synaptic Plasticity on pattern recognition in the Cerebellar Cortex

引用

9th international conference on Adaptive and Natural computing Algorithms (ICANNGA)

作者： de Sousa, Giseli Adams, Rod Davey, Neil Maex, Reinoud Steuber, Volker Univ Hertfordshire Sci & Technol Res Inst Hatfield AL10 9AB Herts England

ISBN: (纸本)9783642049200

Many cerebellar learning theories assume that;long-term depression (LTD) of synapses between parallel fibres (PFs) and Purkinje cells (PCs) provides the basis for pattern recognition in the cerebellum. Previous work has suggested that PCs can use a novel neural code based on the duration of silent periods. These simulations have used a simplified learning rule, where the synaptic conductance was halved each time a pattern was learned. However, experimental studies in cerebellar slices show that the synaptic conductance saturates and is rarely reduced to less than 50% of its baseline value. Moreover, the previous simulations did not include plasticity of the synapses between inhibitory interneurons and PCs. Here we study the effect of LTD saturation and inhibitory synaptic plasticity on pattern recognition in a complex PC model. We find that the PC model is very sensitive to the value at which LTD saturates, but is unaffected by inhibitory synaptic plasticity.

关键词： Associative memory Long-term depression Purkinje cell Cerebellum

来源：评论

学校读者我要写书评

暂无评论

Exploiting Routing Information Encoded into Backlinks to Improve Topical Crawling

Exploiting Routing Information Encoded into Backlinks to Imp...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Alban Mouton Pierre-Francois Marteau Valoria European University of Brittany Vannes France

Local link analysis of topical graphs on the Web allows to experiment focused crawling strategies in a detailed way. In this scope, models, parameters and metrics used to orientate the crawler can be better understood, tuned and evaluated. We develop a methodological and experimental approach that exploits link analysis in order to determine what constitutes a good content analysis metric able to guide efficiently topical crawlers toward highly relevant areas of the Web. Our experimentations show that partial knowledge of the local topology of topical graph highlights our understanding of routing capabilities of various metrics. Furthermore, our experimentations demonstrate that significant crawling efficiency improvement can be reached.

关键词： Routing Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories

来源：评论

学校读者我要写书评

暂无评论

Synergistic-ANN Recognizers for Monitoring and Diagnosis of Multivariate Process Shift patterns

Synergistic-ANN Recognizers for Monitoring and Diagnosis of ...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Ibrahim Masood Adnan Hassan Faculty of mechanical and manufacturing engineering Universiti Tun Hussein Onn Malaysia Batu Pahat Malaysia Faculty of mechanical engineering Universiti Teknologi Malaysia Skudai Malaysia

An intelligent control chart pattern recognition system is essential for efficient monitoring and diagnosis process variation in automated manufacturing environment. Artificial neural networks (ANN) have been applied for automated recognition of control chart patterns since the last 20 years. In early study, the development of control chart patterns recognizers was mainly based on generalized-ANN model. There has been an increasing trend among researchers to move beyond generalized recognizer particularly for addressing complex recognition tasks. However, the existing works mainly focus on univariate process cases. This paper aims to investigate an effective synergistic-ANN model for on-line monitoring and diagnosis multivariate process patterns. The recognition performances of a generalized-ANN and the parallel distributed ANN recognizers for learning dynamic patterns of multivariate process patterns were discussed.

关键词： pattern recognition Monitoring Design optimization Printing Integer linear programming Constraint optimization Testing Containers Computer applications Laboratories

来源：评论

学校读者我要写书评

暂无评论

Object recognition Using Fourier Descriptors and Genetic Algorithm

Object Recognition Using Fourier Descriptors and Genetic Alg...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： M. Sarfraz Mehmood-ul-Hassan M. Iqbal Department of Information Science Kuwait University Safat Kuwait Department of Computer Science COMSATS Abbottabad Pakistan

This work presents study and experimentation for object recognition when isolated objects are under discussion. The circumstances of similarity transformations, presence of noise, and occlusion have been included as the part of the study. For simplicity, instead of objects, outlines of the objects have been used for the whole process of the recognition. Fourier descriptors have been used as features of the objects. From the analysis and results using Fourier descriptors, the following questions arise: What is the optimum number of descriptors to be used? Are these descriptors of equal importance? To answer these questions, the problem of selecting the best descriptors has been formulated as an optimization problem. Genetic algorithm technique has been mapped and used successfully to have an object recognition system using minimal number of Fourier descriptors. The proposed method assigns, for each of these descriptors, a weighting factor that reflects the relative importance of that descriptor.

关键词： Object recognition Genetic algorithms Shape Image recognition pattern recognition Information science Computer science Fourier transforms Computer errors Computer vision

来源：评论

学校读者我要写书评

暂无评论

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Seung-Hun Yoo Jin-Hyung Park Chang-Sung Jeong Department Electronics Engineering Korea University Seoul South Korea

Recently, fusion speed has emerged as an important factor in the image fusion and a substantial amount of memory and computing power are required for a high-speed fusion. This paper shows approaches to accelerate multi-scale image fusion speed on GPU (graphics processing unit) using CUDA (compute unified device architecture). The GPU has evolved into a very powerful and flexible streaming processor, which provides a good computational power and memory bandwidth. We implement the multi-scale image fusion algorithms using CUDA software platform of the latest version of GPU and theirs fusion speeds are compared and evaluated with implementation in Core2 Quad processor with 2.4 GHz. The GPU version achieved a speedup of 6x-8x over the CPU version.

关键词： Acceleration Image fusion Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications

来源：评论

学校读者我要写书评

暂无评论

Motif Discovery Using Evolutionary Algorithms

Motif Discovery Using Evolutionary Algorithms

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Linlin Shao Yuehui Chen Ajith Abraham School of Information Science and Engineering University of Ji''nan Jinan Shandong China Machine Intelligence Research Laboratories Scientific Network of Innovation and Research Excellence Auburn WA USA

The bacterial foraging optimization (BFO) algorithm is a nature and biologically inspired computing method. We propose an alternative solution integrating bacterial foraging optimization algorithm and tabu search (TS) algorithm namely TS-BFO. We modify the original BFO via established a self-control multi-length chemotactic step mechanism, and introduce rao metric. We utilize it to solve motif discovery problem and compare the experimental result with existing famous DE/EDA algorithm which combines global information extracted by estimation of distribution algorithm (EDA) with differential information obtained by Differential evolution (DE) to search promising solutions. The experiments on real data set selected from TRANSFAC and SCPD database have predicted meaningful motif which demonstrated that TS-BFO and DE/EDA are promising approaches for finding motif and enrich the technique of motif discovery.

关键词： Evolutionary computation Sequences Electronic design automation and methodology Microorganisms Information science Biology computing Databases pattern matching pattern recognition Machine intelligence

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500页 << < 476 477 478 479 480 481 482 483 484 485 > >>

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：