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

6,791 篇 会议
633 册 图书
130 篇 期刊文献

馆藏范围

7,553 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

3,897 篇 工学
- 3,088 篇 计算机科学与技术...
- 1,403 篇 软件工程
- 792 篇 电气工程
- 677 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
1,220 篇 理学
- 671 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

3,151 篇 pattern recognit...
534 篇 feature extracti...
430 篇 artificial intel...
385 篇 neural networks
295 篇 data mining
282 篇 machine learning
233 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
143 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

7,404 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 7555 条记录，以下是4541-4550 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：

Cross-Age Face recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using soft Biometric Traits

Cross-Age Face Recognition on a Very Large Database: The Per...

引用

international conference on pattern recognition

作者： Guodong Guo Guowang Mu Karl Ricanek West Virginia University USA NC Central University USA University of NC Wilmington USA

ISBN: (纸本)9781424475421

Facial aging can degrade the face recognition performance dramatically. Traditional face recognition studies focus on dealing with pose, illumination, and expression (PIE) changes. Considering a large span of age difference, the influence of facial aging could be very significant compared to the PIE variations. How big the aging influence could be? What is the relation between recognition accuracy and age intervals? Can soft biometrics be used to improve the face recognition performance under age variations? In this paper we address all these issues. First, we investigate the face recognition performance degradation with respect to age intervals between the probe and gallery images on a very large database which contains about 55,000 face images of more than 13,000 individuals. Second, we study if soft biometric traits, e.g., race, gender, height, and weight, could be used to improve the cross-age face recognition accuracies, and how useful each of them could be.

关键词： Face recognition Face Databases Aging Accuracy Principal component analysis Probes

来源：评论

学校读者我要写书评

暂无评论

Faster convergence of BP network with hybridization of improved cost function and control memory adaptation

Faster convergence of BP network with hybridization of impro...

引用

Asia Modelling Symposium 2010: 4th international conference on Mathematical Modelling and Computer Simulation, AMS2010

作者： Hasan, Shafaatunnur Shamsuddin, Siti Mariyam Hj. Soft Computing Research Group K-Economy Research Alliance Universiti Teknologi Malaysia Skudai Malaysia

ISBN: (纸本)9780769540627

Due to the weaknesses of Neural Network (NN) learning this paper proposes an alternative approach in enhancing NN learning by integrating improved cost function with control adaptation of the nodes and address memory. As commonly known weight adjustments of NN particularly in Backpropagation (BP) algorithm involve the connections between neurons the activation function used by the neurons the learning algorithm that specifies the procedure for adjusting the weights and the cost functions. The cost functions of BP are calculated based on the derivatives. These derivatives will determine the success rate of the application to train the network with an error function that resembles the objective of the problem on hand. Due to that the concept of weights governance with control part mechanism between the input and hidden layer and unit offsets of the hidden layer are implemented. to alleviate the problems of BP learning. The address memory part of the network will detain the output pattern of the hidden layer. Subsequently the output patterns are compared with the input pattern and propels back to the output layer after learning. From the experiments we found that the results are promising with these mechanisms and improved cost function which yields faster convergence rates. © 2010 IEEE.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

soft biometric classification using periocular region features

Soft biometric classification using periocular region featur...

引用

IEEE international conference on Biometrics: Theory, Applications, and Systems (BTAS)

作者： Jamie R. Lyle Philip E. Miller Shrinivas J. Pundlik Damon L. Woodard Biometrics and Pattern Recognition Laboratory School of Computing Clemson University Clemson SC USA

With periocular biometrics gaining attention recently, the goal of this paper is to investigate the effectiveness of local appearance features extracted from the periocular region images for soft biométrie classification. We extract gender and ethnicity information from the periocular region images using grayscale pixel intensities and periocular texture computed by Local Binary patterns as our features and a SVM classifier. Results are presented on the visible spectrum periocular images obtained from the FRGC face dataset. For 4232 periocular images of 404 subjects, we obtain a baseline gender and ethnicity classification accuracy of 93% and 91%, respectively, using 5-fold cross validation. Furthermore, we show that fusion of the soft biométrie information obtained from our classification approach with the texture based periocular recognition approach results in an overall performance improvement.

关键词： Face Support vector machines Training Gray-scale Accuracy Pixel Feature extraction

来源：评论

学校读者我要写书评

暂无评论

VRNS: A new energy efficient event recognition approach via Voting with Random Node Selection

VRNS: A new energy efficient event recognition approach via ...

引用

IEEE international conference on Distributed computing in Sensor Systems Workshops (DCOSSW)

作者： M. Baqer Department of Computer Engineering University of Bahrain Bahrain

pattern recognition approaches are commonly adopted by many wireless sensor network applications due to their traditional effectiveness in detecting and recognising events. Nonetheless, employing off-the-shelf pattern recognition approaches is generally infeasible. This paper presents a new energy efficient distributed pattern recognition approach based on information processing and sleep mode paradigms of sensor networks. Events of interest are recognised by the cooperative operations of the sensor nodes instead of depending on a base-station. Moreover, the aim of the approach is to attain effective event recognition performance whilst prolonging the network's longevity by switching off sensor nodes and processing sensory data within the network.

关键词： pattern recognition Wireless sensor networks Switches Energy conservation Subspace constraints Batteries Computers

来源：评论

学校读者我要写书评

暂无评论

Hausdorff matching based SVD-covariance descriptor for object tracking 10

Hausdorff matching based SVD-covariance descriptor for objec...

引用

Proceedings of the Second international conference on Internet Multimedia computing and Service

作者： Guo, Wen Xu, Changsheng Ma, Songde Huang, Songqiao National Lab of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China Electronic Engineering Department Shandong Institutes of Business and Technology Yantai China Department of Mathematical Sciences SUNY Binghamton NY 13905 United States

ISBN: (纸本)9781450304603

In this paper we propose a Hausdorff matching based SVD-covariance descriptor for object tracking. Object tracking is one of the most important tasks in computer vision and covariance descriptor for visual tracking has attracted many researchers in the field. The main issues we want to address in this paper consist of the difficulty brought by the non-Euclidean space elements choice of covariance matrices and the large expenditure caused by the measurement between different models calculated on Riemannian manifolds. We have designed an efficient and discriminative SVD-covariance representation feature. The measurement between the target and candidates can be realized through Hausdorff distance. Theoretically, this reduces the computational cost compared with the original measurement on Riemannian manifolds. The experimental results show that the proposed approach is able to generate the promising feature for visual tracking. Copyright 2010 ACM.

关键词： Covariance matrix

来源：评论

学校读者我要写书评

暂无评论

pattern recognition for classifying the condition of wooden railway sleepers

Pattern recognition for classifying the condition of wooden ...

引用

international conference on Multimedia computing and Information Technology (MCIT)

作者： Siril Yella Asif Shaik Rahman Mark Dougherty Department of Computer Engineering Dalarna University Borlange Sweden

This paper summarises the results of using a pattern recognition approach for classifying the condition of wooden railway sleepers. Railway sleeper inspections are currently done manually; visual inspection being the most common approach, with some deeper examination using an axe to judge the condition. Digital images of the sleepers were acquired to compensate for the human visual capabilities. Appropriate image analysis techniques were applied to further process the images and necessary features such as number of cracks, crack length etc have been extracted. Finally a pattern recognition and classification approach has been adopted to further classify the condition of the sleeper into classes (good or bad). A Support Vector Machine (SVM) using a Gaussian kernel has achieved good classification rate (86%) in the current case.

关键词： pattern recognition Rail transportation Inspection Railway engineering Support vector machines Support vector machine classification Feature extraction Condition monitoring Data mining Digital images

来源：评论

学校读者我要写书评

暂无评论

The study of the generate and screening of vehicle license plate's potential region queue based on image

The study of the generate and screening of vehicle license p...

引用

international conference on Networked computing (INC)

作者： Xiaoping Li Sun Xinxin Yinxiang Li Xiaoxing Lv Beijing Institute of Technology BIT Beijing China

ISBN: (纸本)9781424469864;9788988678206

With the microprocessor as its core, the license plate automatic recognition system is a highly intelligent electronic system based on technologies such as image processing and pattern recognition. The goal of license location algorithm is to accurately identify the position of the license on a motor vehicle license image. The license can appear anywhere on the image with different degrees of tilt and distortion, or it may be stained. Therefore, the algorithm has to take these situations into consideration.

关键词： Vehicles Licenses Image segmentation pattern recognition Image recognition Intelligent sensors Data mining Microprocessors Intelligent systems Image processing

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 10th IEEE international conference on Computer and Information Technology, CIT-2010, 7th IEEE international conference on Embedded software and Systems, ICESS-2010, ScalCom-2010

Proceedings - 10th IEEE International Conference on Computer...

引用

10th IEEE international conference on Computer and Information Technology, CIT-2010, 7th IEEE international conference on Embedded software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable computing and Communications, ScalCom-2010

ISBN: (纸本)9780769541082

The proceedings contain 461 papers. The topics discussed include: distributed lock manager for distributed file system in shared-disk environment;an asymmetric data conversion scheme based on binary tags;scalable orchestration strategy for automatic service composition;an energy efficient clustering scheme for self-organizing distributed wireless sensor networks;conceptual multi-level hierarchy for evaluation and classification;QoS assessment over multiple attributes;feature selection of gene expression data using regression model;incremental emerging patterns mining for identifying safe and non-safe power load lines;methods of pattern extraction and interval prediction for equipment maintenance;text detection using multilayer separation in real scene images;face recognition using layered linear discriminant analysis and small subspace;and a rotate-based best neighborhood matching algorithm for high definition image error concealment.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Modulation recognition Scheme Using Mixed Model

Modulation Recognition Scheme Using Mixed Model

引用

international conference on Pervasive computing Signal Processing and Applications (PCSPA)

作者： Hua-kui Wang Xu-qing Yao Juan-ping Wu Ying-zhen Han Li-li Feng College of Information Engineering Taiyuan University of Technology Taiyuan Shanxi China

On automatic modulation there are two approaches, decision-theoretic and statistical pattern. An automatic modulation recognition system to recognize four digital signal classes as: MASK, MFSK, MPSK, MQAM is proposed in this paper, which using decision-theoretic based feature set addition to statistical pattern based feature set with VLBP(variable learning rate back-propagation)BP neural network and Bayesian normalized BP neural network. Performance is generally good when Signal to Noise Ratios (SNR) in 0-10dB, simulations show the results even larger than 95%, that confirm the robustness and practicality of this recognition method.

关键词： Training Feature extraction Artificial neural networks pattern recognition Signal to noise ratio Phase modulation

来源：评论

学校读者我要写书评

暂无评论

Iris pattern recognition using biorthogonal Wavelet Packet Analysis

Iris pattern recognition using biorthogonal Wavelet Packet A...

引用

IEEE international conference on Communication Control and computing Technologies (ICCCCT)

作者： S. Hariprasath S. Venkatasubramaniam Department of ECE Saranathan College of Engineering Trichy India Department of CSE Saranathan College of Engineering Trichy India

A new iris recognition system based on Wavelet Packet Analysis is described. The most unique phenotypic feature visible in a person's face is the detailed texture of each eye's iris. The visible texture of a person's iris is encoded into a compact sequence of 2-D wavelet packet coefficients, which generate an "iris code". Two different iris codes are compared using exclusively OR comparisons. In this paper, we propose a novel multi-resolution approach based on Wavelet Packet Transform (WPT) for iris texture analysis and recognition. The development of this approach is motivated by the observation that dominant frequencies of iris texture are located in the low and middle frequency channels. With an adaptive threshold, WPT sub images coefficients are quantized into 1, 0 or -1 as iris signature. This signature presents the local information of different irises. By using different wavelet packets the size of the iris signature of code attained was 1080 bits. The signature of the new iris pattern is compared against the stored pattern after computing the signature of new iris pattern. Identification is performed by computing the hamming distance.

关键词： Iris recognition Iris Wavelet packets Feature extraction Wavelet analysis

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 << < 451 452 453 454 455 456 457 458 459 460 > >>

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：