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

2,412 篇 会议
171 册 图书
76 篇 期刊文献
3 篇 学位论文

馆藏范围

2,662 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,670 篇 工学
- 1,324 篇 计算机科学与技术...
- 536 篇 软件工程
- 440 篇 电气工程
- 319 篇 信息与通信工程
- 169 篇 生物工程
- 158 篇 控制科学与工程
- 153 篇 光学工程
- 136 篇 生物医学工程（可授...
- 83 篇 电子科学与技术（可...
- 58 篇 仪器科学与技术
- 57 篇 机械工程
- 30 篇 网络空间安全
- 26 篇 材料科学与工程（可...
- 26 篇 动力工程及工程热...
- 25 篇 化学工程与技术
- 25 篇 安全科学与工程
703 篇 理学
- 447 篇 物理学
- 186 篇 生物学
- 161 篇 数学
- 39 篇 化学
- 36 篇 统计学（可授理学、...
- 22 篇 系统科学
251 篇 医学
- 219 篇 临床医学
- 77 篇 基础医学(可授医学...
- 45 篇 药学(可授医学、理...
- 28 篇 公共卫生与预防医...
173 篇 管理学
- 105 篇 管理科学与工程(可...
- 75 篇 图书情报与档案管...
- 28 篇 工商管理
27 篇 农学
- 27 篇 作物学
22 篇 法学
16 篇 教育学
6 篇 经济学
6 篇 文学
1 篇 哲学
1 篇 军事学

主题

391 篇 artificial neura...
381 篇 neural networks
286 篇 convolutional ne...
260 篇 image processing
251 篇 artificial intel...
217 篇 deep learning
191 篇 feature extracti...
150 篇 training
115 篇 image segmentati...
106 篇 accuracy
104 篇 pattern recognit...
95 篇 machine learning
91 篇 image classifica...
82 篇 image recognitio...
82 篇 computer vision
75 篇 neurons
75 篇 computational mo...
71 篇 neural network
61 篇 information syst...
60 篇 image processing...

机构

7 篇 częstochowa univ...
6 篇 chongqing univer...
6 篇 chitkara univers...
6 篇 king saud univer...
6 篇 hefei university...
6 篇 agh university o...
6 篇 information syst...
6 篇 south china norm...
6 篇 harbin institute...
5 篇 lovely professio...
5 篇 university of ca...
5 篇 democritus unive...
5 篇 department of ma...
4 篇 school of comput...
4 篇 department of ma...
4 篇 univ chinese aca...
4 篇 razak faculty of...
4 篇 school of comput...
4 篇 department of ma...
4 篇 department of co...

作者

12 篇 eyas el-qawasmeh
9 篇 de-shuang huang
9 篇 ryszard tadeusie...
9 篇 marcin korytkows...
9 篇 leszek rutkowski
8 篇 jacek m. zurada
8 篇 azizah abd manaf
8 篇 lazaros iliadis
7 篇 rafał scherer
7 篇 lopez-rubio ezeq...
6 篇 haijun zhang
6 篇 tianyong hao
6 篇 jagdish chand ba...
6 篇 zhou wu
6 篇 kedar nath das
6 篇 zhao zhang
6 篇 gelenbe e
6 篇 kusum deep
5 篇 włodzisław duch
5 篇 duoqian miao

语言

2,530 篇 英文
96 篇 其他
24 篇 中文
22 篇 土耳其文
1 篇 西班牙文

检索条件"任意字段=Conference on Applications of Artificial Neural Networks in Image Processing II"

共 2662 条记录，以下是1971-1980 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：

Modeling visual perception for image processing

引用

9th International Work-conference on artificial neural networks

作者： Herault, Jeanny Durette, Barthelemy INPG GIPSA Lab 46 Ave Felix Viallet F-38000 Grenoble France

ISBN: (纸本)9783540730064

This paper presents a model of the retina with its properties with respect to sampling, spatiotemporal filtering, color-coding and non-linearity, and their consequences on the processing of visual information. It's formalism points out the architectural and algorithmic principles of neuromorphic circuits which are known to improve compactness, consumption, robustness and efficiency, leading to direct applications in engineering science. It's biological aspect, strongly based neural and cellular descriptions makes it suitable as an investigation tool for neurobiologists, allowing the simulation of experiences difficult to set up and answering fundamental theoretical questions.

关键词： model of the retina spatiotemporal filtering color processing irregular sampling non-linear processing adaptation

来源：评论

学校读者我要写书评

暂无评论

Intelligent detection of voltage instability in power distribution systems

引用

9th International Work-conference on artificial neural networks

作者： Khashman, Adnan Buruncuk, Kadri Jabr, Samir Dept Elect & Elect Engn Near E Univ Lefkosa Northern Cyprus Turkey

ISBN: (纸本)9783540730064

Real-life applications of intelligent systems that use neural networks require a high degree of success, usability and reliability. Power systems applications can benefit from such intelligent systems;particularly for voltage stabilization. Voltage instability in power distribution systems could lead to voltage collapse and thus power blackouts. This paper presents an intelligent system which detects voltage instability and classifies voltage output of an assumed power distribution system (PDS) as: stable, unstable or overload. The novelty of our work is the use of voltage output images as the input patterns to the neural network for training and generalizing purposes, thus providing a faster instability detection system that simulates a trained operator controlling and monitoring the 3-phase voltage output of the assumed PDS. Experimental results suggest that our method performs well and provides a fast and efficient system for voltage instability detection.

关键词： neural networks intelligent systems image processing voltage instability detection power distribution systems

来源：评论

学校读者我要写书评

暂无评论

Deformable structures localization and reconstruction in 3D images

Deformable structures localization and reconstruction in 3D ...

引用

2nd International conference on Computer Vision Theory and applications, VISAPP 2007

作者： Moroni, Davide Colantonio, Sara Salvetti, Ovidio Salvetti, Mario Pisa Italy Department of Mathematics University of Pisa Pisa Italy

Accurate reconstruction of deformable structures in image sequences is a fundamental task in many applications ranging from forecasting by remote sensing to sophisticated medical imaging applications. In this paper we report a novel automatic two-stage method for deformable structure reconstruction from 3D image sequences. The first stage of the proposed method is focused on the automatic identification and localization of the deformable structures of interest, by means of fuzzy clustering and temporal regions tracking. The final segmentation is accomplished by a second processing stage, devoted to identify finer details using a Multilevel artificial neural Network. Application to the segmentation of heart left ventricle from MRI sequences are discussed.

关键词： neural networks

来源：评论

学校读者我要写书评

暂无评论

Perceptual assessment of image quality in multimedia technology

Perceptual assessment of image quality in multimedia technol...

引用

conference on Mathematics of Data/image Pattern Recongnition, Compression, Coding, and Encryption X, with applications

作者： Fliegel, Karel Czech Tech Univ Fac Elect Engn Dept Radioelect Prague 16627 6 Czech Republic

ISBN: (纸本)9780819468482

Fast development of multimedia technology during the last two decades has brought different approach to the evaluation of image quality. In most of the cases, multimedia technology applications do not rely on the image fidelity criterion but the human impression plays the main role, A model for perceptual assessment of image quality in multimedia technology is presented in this paper. The model exploits properties of the human visual system (HVS) while utilizing steerable pyramidal decomposition. image distortion features are based on Jeffrey divergence (JD) as a metric between probability distributions of original and distorted image signal values in each subband of steerable pyramid. Mean square error (MSE) is also computed. Data preprocessing using mutual information (MI) approach has been used to get a smaller set of objective distortion features describing the perceived image quality with reasonable precision. The impairment feature vector is processed by the radial basis function (RBF) artificial neural network (ANN) to allow simple adaptation of the model in respect to the required mode of operation, fidelity or impressiveness based. Parameters of the ANN are adjusted using mean opinion scores (MOS) obtained from the group of assessors. The presented system mimics an assessment process with human subjects. Model performance is verified comparing predicted quality and scores from human observers.

关键词： image compression image processing image quality artificial neural networks multimedia technology

来源：评论

学校读者我要写书评

暂无评论

Edge detection based on spiking neural network model

引用

3rd International conference on Intelligent Computing

作者： Wu, QingXiang McGinnity, Martin Maguire, Liam Belatreche, Ammar Glackin, Brendan Univ Ulster Sch Comp & Intelligent Syst Magee Campus Derry BT48 7JL North Ireland

ISBN: (纸本)9783540742012

Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The structure and the properties of the network are detailed in this paper. Simulation results show that the network based on spiking neurons is able to perform edge detection within a time interval of 100 ms. This processing time is consistent with the human visual system. A firing rate map recorded in the simulation is comparable to Sobel and Canny edge graphics. In addition, the network can separate different edges using synapse plasticity, and the network provides an attention mechanism in which edges in an attention area can be enhanced.

关键词： edge detection spiking neural networks receptive field attention visual system

来源：评论

学校读者我要写书评

暂无评论

A self-organizing approach to detection of moving patterns for real-time applications

A self-organizing approach to detection of moving patterns f...

引用

2nd International Symposium on Brain, Vision and artificial Intelligence

作者： Maddalena, Lucia Petrosino, Alfredo ICAR Natl Res Council P Castellino 111 I-80131 Naples Italy Univ Naples Federico II DSA I-80131 Naples Italy

ISBN: (纸本)9783540755548

Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient. We propose an approach based on self organization through artificial neural networks, widely applied in human image processing systems and more generally in cognitive science. The proposed model allows to capture structural background variation due to periodic-like motion over a long period of time under limited memory. Our method can handle scenes containing moving backgrounds or illumination variations, and it achieves robust detection for different types of videos taken with stationary cameras. We compared our method with other modeling techniques. Experimental results, both in terms of detection accuracy and in terms of processing speed, are presented for color video sequences which represent typical situations critical for vicleo surveillance systems.

关键词： visual surveillance motion detection self organization neural network

来源：评论

学校读者我要写书评

暂无评论

A dedicated hardware for fingerprint authentication

A dedicated hardware for fingerprint authentication

引用

11th International conference on Knowledge-Based Intelligent Informational and Engineering Systems/17th Italian Workshop on neural networks

作者： Danese, G. Giachero, M. Leporati, F. Matrone, G. Nazzicari, N. Univ Pavia Dipartimento Informat & Sistemist Via Ferrata 1 I-27100 Pavia Italy

ISBN: (纸本)9783540748267

Biometric systems are defined as systems exploiting automated methods of personal recognition based on physiological or behavioural characteristics. Among these, fingerprints are very reliable biometric identifiers. Trying to fasten the image processing step makes the recognition process more efficient, especially concerning embedded systems for real-time authentication. In this work we propose an FPGA-based architecture that efficiently implements the high computationally demanding core of a matching algorithm.

关键词： authentication and security fingerprints image processing hardware accelerators FPGA phase-only correlation

来源：评论

学校读者我要写书评

暂无评论

Automated text categorization based on readability fingerprints

引用

17th International conference on artificial neural networks (ICANN 2007)

作者： Embrechts, Mark J. Linton, Jonathan Bogaerts, Walter F. Heyns, Bram Evangelista, Paul Rensselaer Polytech Inst DSES Troy NY 12180 USA Univ Ottawa Telfer Sch Managment Ottawa ON Canada Univ Leuven Sci & Engn Lib B-3001 Leuven Belgium US Mil Acad West Point NY USA

ISBN: (纸本)9783540746935

This paper introduces the use of 15 different readability indices as a fingerprint that enables the classification of documents into different categories. While a classification based on such fingerprints alone is not necessarily superior to document categorization based on dedicated dictionaries per se, the document fingerprints can enhance the overall classification rate by applying proper data fusion techniques. For other applications text mining related applications such as language classification, the detection of plagiarism, or author identification, the accuracy of text categorization methods based on readability fingerprints can even exceed a dictionary-based approach. A novel addition to the readability indices is the addition of histo-rams based on the word length of all the dictionary words used in the text and a dictionary of the most common easy words in the English language.

关键词： Text processing

来源：评论

学校读者我要写书评

暂无评论

License plate detection using cluster run length smoothing algorithm (CRLSA)

License plate detection using cluster run length smoothing a...

引用

IASTED International conference on artificial Intelligence and applications

作者： Abdullah, Siti Norul Huda Sheikh Omar, Khairuddin Khalid, Marzuki Yusof, Rubiyah Univ Teknol Malaysia Fac Elect Engn Ctr Artificial Intelligence & Robot CAIRO Kuala Lumpur 54100 Malaysia Univ Kebangsaan Malaysia Fak Teknol Sains Maklumat Jabatan Sains & Pengurusan Sistem Bangi 43600 Selangor Malaysia

ISBN: (纸本)9780889866294

Vehicle license plate recognition has been intensively studied in many countries. Due to the different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. In this paper, an automatic license plate recognition system is proposed for Malaysian vehicles with standard license plates based on image processing, clustering, feature extraction and neural networks. The image processing library is developed in-house which referred to as Vision System Development Platform (VSDP). Fixed filter, Minimum filter, Median Filter and Homomorphic Filtering are used in image enhancement process. After applying image enhancement, the image is segmented using blob analysis, horizontal scan line profiles, clustering and run length smoothing algorithm approach to identify the location of the license plate. Thoroughly each image is transformed into blob objects and its important information such as total of blobs, location, height and width, are being analyzed for the purpose of cluster exercising and choosing the best cluster with winner blobs. Here, new algorithm called Cluster Run Length Smoothing Algorithm (CRLSA) approach was applied to locate the license plate at the fight position. CRLSA consisted of two separate new proposed algorithm which applied new edge detector algorithm using 30 kernel masks and 128 grayscale offset plus a new way (3D method) to calculate run length smoothing algorithm (RLSA), which can improve clustering techniques in segmentation phase. Three separate experiments were performed;Cluster and Threshold value 130 (CT130) and CRLSA with Threshold value I (CCTI). From those experiments, analysis of error tables based on segmentation errors were constructed. The prototyped system has an accuracy more than 96% and suggestions to further improve the system are discussed in this paper pertaining to analysis of the error.

关键词： license plate recognition clustering run length smoothing algorithm thresholding

来源：评论

学校读者我要写书评

暂无评论

Face recognition using fractional multiple exemplar-discriminant analysis

Face recognition using fractional multiple exemplar-discrimi...

引用

International Multiconference of Engineers and Computer Scientists

作者： Hajiarbabi, M. Askari, J. Sadri, S. Electrical and Computer Engineering Department Isfahan University of Technology Iran

ISBN: (纸本)9789889867140

Face recognition is a biometric identification method which among the other methods such as, finger print identification, speech recognition, signature and hand written recognition has assigned a special place to itself. In principle, the biometric identification methods includes a wide range of sciences such as machine vision, image processing, pattern recognition neural networks and-has various applications in film processing, control access networks and etc. There are several methods for recognition among which appearance based methods is one of them. One of the most important algorithms in appearance based methods is linear discriminant analysis (LDA) which is based on statistical pattern recognition. The great drawback for linear discriminent analysis is, although there are great differences in the images for a single person, because of luminous condition and head rotation, this algorithm only considers the average of the images. In this paper we introduce fractional multiple exemplar discriminant analysis (FMEDA) which is a variation of linear discriminant analysis algorithm and then we will compare it with the other well known algorithms in this field.

关键词： face recognition fractional multiple exemplar discriminant analysis linear discriminant analysis radial basis function neural network

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267页 << < 194 195 196 197 198 199 200 201 202 203 > >>

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：