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

1,496 篇 会议
654 篇 期刊文献
9 册 图书

馆藏范围

2,159 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,419 篇 工学
- 812 篇 计算机科学与技术...
- 694 篇 软件工程
- 299 篇 信息与通信工程
- 212 篇 机械工程
- 209 篇 控制科学与工程
- 198 篇 光学工程
- 157 篇 生物工程
- 152 篇 生物医学工程（可授...
- 136 篇 电子科学与技术（可...
- 112 篇 电气工程
- 97 篇 仪器科学与技术
- 62 篇 化学工程与技术
- 41 篇 交通运输工程
- 32 篇 土木工程
- 28 篇 建筑学
- 27 篇 航空宇航科学与技...
- 24 篇 材料科学与工程（可...
- 24 篇 安全科学与工程
773 篇 理学
- 465 篇 数学
- 251 篇 物理学
- 173 篇 生物学
- 143 篇 统计学（可授理学、...
- 60 篇 化学
- 57 篇 系统科学
265 篇 管理学
- 147 篇 管理科学与工程(可...
- 129 篇 图书情报与档案管...
87 篇 医学
- 75 篇 临床医学
- 56 篇 基础医学(可授医学...
- 47 篇 药学(可授医学、理...
29 篇 艺术学
- 28 篇 设计学（可授艺术学...
28 篇 法学
19 篇 农学
11 篇 经济学
10 篇 教育学
10 篇 军事学
5 篇 文学
1 篇 哲学
1 篇 历史学

主题

215 篇 pattern recognit...
198 篇 image processing
134 篇 image segmentati...
134 篇 feature extracti...
78 篇 computer vision
77 篇 shape
68 篇 support vector m...
67 篇 robustness
65 篇 face recognition
65 篇 image reconstruc...
59 篇 cameras
54 篇 principal compon...
53 篇 image analysis
52 篇 image edge detec...
52 篇 image recognitio...
51 篇 training
48 篇 humans
47 篇 object detection
39 篇 data mining
38 篇 pixel

机构

266 篇 institute of ima...
242 篇 institute of ima...
74 篇 image processing...
44 篇 institute of ima...
39 篇 institute of ima...
30 篇 institute of ima...
26 篇 institute of med...
23 篇 school of inform...
21 篇 institute of ima...
21 篇 pattern recognit...
19 篇 institute for pa...
19 篇 inst. of image p...
18 篇 intelligent reco...
18 篇 state key labora...
17 篇 key laboratory o...
17 篇 laboratory of in...
17 篇 institute of ima...
16 篇 department of au...
16 篇 school of softwa...
16 篇 key laboratory o...

作者

195 篇 yang jie
138 篇 jie yang
68 篇 ping guo
58 篇 yuncai liu
54 篇 huang xiaolin
46 篇 pengfei shi
34 篇 yunhong wang
33 篇 zhang tianxu
32 篇 kropatsch walter...
31 篇 guo ping
25 篇 qian yin
25 篇 zhou yue
25 篇 wang yunhong
24 篇 wang lisheng
22 篇 liu jian
21 篇 liu yuncai
20 篇 hong-bin shen
20 篇 杨杰
20 篇 shi pengfei
19 篇 h. bischof

语言

1,960 篇 英文
117 篇 其他
86 篇 中文

检索条件"机构=Pattern Recognition and Image Processing Processing Laboratory"

共 2159 条记录，以下是981-990 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：

Interactive object segmentation using iterative adjustable graph cut

Interactive object segmentation using iterative adjustable g...

引用

2011 IEEE Visual Communications and image processing, VCIP 2011

作者： Shi, Ran Liu, Zhi Xue, Yinzhu Zhang, Xiang School of Communication and Information Engineering Shanghai University Shanghai 200072 China Key Laboratory of Advanced Display and System Application Shanghai University Ministry of Education Shanghai 200072 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)9781457713200

Interactive object segmentation is widely used for extracting any user-interested objects from natural images. A common problem with many interactive segmentation approaches is that the object segmentation quality is degraded due to inaccurate object/background seeds provided by the user. This paper proposes an iterative adjustable graph cut to efficiently solve this problem. First, object/background seeds are initialized based on the object segmentation result obtained with the user-specified scribbles as the interactive input. Then, an iterative seed adjustment scheme is exploited to correct inaccurate seeds and extract new suitable seeds via graph cut, in which the balancing weight between energy terms are adaptively updated to protect stable seeds and speedup the iteration process. Finally, suitable seeds are obtained and graph cut is used to segment the objects. Experimental results demonstrate the better segmentation performance of our approach even if user provides rather rough seeds. © 2011 IEEE.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

An adaptive mean shift algorithm based on LSH

An adaptive mean shift algorithm based on LSH

引用

2011 International Conference on Power Electronics and Engineering Application

作者： Yanbin Cui Kui Cao Gang Zheng Fan Zhang College of Computer and Information Engineering Henan University Institute of Image Processing and Pattern Recognition Henan University

The time complexity of the adaptive mean shift is related to the dimension of data and the number of iterations. The computational complexity will increase proportionally with the increase of the data dimension. An approximate neighborhood queries method is presented for the computation of high dimensional data, in which, the localitysensitive hashing(LSH) is used to reduce the computational complexity of the adaptive mean shift algorithm. Experimental results show that the proposed algorithm can reduce the complexity of the adaptive mean shift algorithm and can produce a more accurate classification than the fixed bandwidth mean shift algorithm.

关键词： pattern Classification Adaptive bandwidth Adaptive mean-shift Locality-sensitive hashing

来源：评论

学校读者我要写书评

暂无评论

The influence of hubness on nearest-neighbor methods in object recognition

The influence of hubness on nearest-neighbor methods in obje...

引用

IEEE International Conference on Intelligent Computer Communication and processing (ICCP)

作者： Nenad Tomašev Raluca Brehar Dunja Mladenić Sergiu Nedevschi Jožef Stefan Institute Artificial Intelligence Laboratory Ljubljana Slovenia Image Processing and Pattern Recognition Group Technical University of Cluj-Napoca Romania

Object recognition from images is one of the essential problems in automatic image processing. In this paper we focus specifically on nearest neighbor methods, which are widely used in many practical applications, not necessarily related to image data. It has recently come to attention that high dimensional data also exhibit high hubness, which essentially means that some very influential data points appear and these points are referred to as hubs. Unsurprisingly, hubs play a very important role in the nearest neighbor classification. We examine the hubness of various image data sets, under several different feature representations. We also show that it is possible to exploit the observed hubness and improve the recognition accuracy.

关键词： Feature extraction Object recognition Entropy Histograms Visualization image color analysis Shape

来源：评论

学校读者我要写书评

暂无评论

Analysis of Complexity Based EEG Features for the Diagnosis of Alzheimer's Disease

Analysis of Complexity Based EEG Features for the Diagnosis ...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Tyler Staudinger Robi Polikar Signal Processing and Pattern Recognition Laboratory Dept. of Electrical and Computer Eng. at Rowan University

ISBN: (纸本)9781424441211

As life expectancy increases, particularly in the developed world, so does the prevalence of Alzheimer's Disease (AD). AD is a neurodegenerative disorder characterized by neurofibrillary plaques and tangles in the brain that leads to neuronal death and dementia. Early diagnosis of AD is still a major unresolved health concern: several biomarkers are being investigated, among which the electroencephalogram (EEG) provides the only option for an electrophysiological information. In this study, EEG signals obtained from 161 subjects - 79 with AD, and 82 age-matched controls (CN) - are analyzed using several nonlinear signal complexity measures. These measures include: Higuchi fractal dimension (HFD), spectral entropy (SE), spectral centroid (SC), spectral roll-off (SR), and zero-crossing rate (ZCR). HFD is a quantitative measure of time series complexity derived from fractal theory. Among spectral measures, SE measures the level of disorder in the spectrum, SC is a measure of spectral shape, and SR is frequency sample below which a specified percent of the spectral magnitude distribution is contained. Lastly, ZCR is simply the rate at which the signal changes signs. A t-test was first applied to determine those features that provide significant differences between the groups. Those features were then used to train a neural network. The classification accuracies ranged from 60-66%, suggesting they contain some discriminatory information;however, not enough to be clinically useful alone. Combining these features and training a support vector machine (SVM) resulted in a diagnostic accuracy of 78%, indicating that these feature carry complementary information.

关键词： Alzheimer's disease EEG Higuchi Fractal Dimension Spectral Entropy Spectral Centroid Spectral Roll-Off Zero-Crossing Rate

来源：评论

学校读者我要写书评

暂无评论

A novel approach to edge detection of color image based on quaternion fractional directional differentiation

A novel approach to edge detection of color image based on q...

引用

2011 International Conference on Automation and Robotics, ICAR 2011

作者： Gao, Chaobang Zhou, Jiliu Lang, Fangnian Pu, Qiang Liu, Chang College of Computer Science and Technology Chengdu University Chengdu 610106 China School of Computer Science Sichuan University Chengdu 610064 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Sichuan Province Chengdu 610106 China

ISBN: (纸本)9783642255526

In this paper, we denote a color image by a quaternion function, then find edge points by solving the maximum of quaternion fractional directional differentiation(QFDD)'s norm. This method is called edge detection based on QFDD. Experiments indicate that the method has special advantages. Comparing with Canny, LOG, Sobel, and general fractional differentiation, we discover that QFDD has fewer false negatives in the textured regions and is also better at detecting edges which are partially defined by texture, which means we will obtain better results in the interesting regions by QFDD and these results are more consistent with the characteristics of human visual system. © 2011 Springer-Verlag.

关键词： Edge detection

来源：评论

学校读者我要写书评

暂无评论

Shape deformation using golden section search in PCA-based statistical shape model

Shape deformation using golden section search in PCA-based s...

引用

作者： Liu, W.P. Shang, Y.F. Yang, X. Deklerck, R. Cornelis, J. Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Dong Chuan Rd. 800 Shang Hai China Department of Electronics and Informatics Vrije Universiteit Brussel Brussel Belgium Institute of Broad Band Technology Gaston Crommenlaan Gent Belgium

An effective shape deformation method derived from a PCA-based statistical shape model (SSM) using the Golden Section Search (GSS) method is presented. The PCA-based SSM has proved to be a simple and effective method in model based segmentation and has been used in medical image analysis for soft tissue extraction. The gradient descent method is widely applied to search the optimal values for the transformation and deformation parameters to fit the model to specific image features. We use Golden Section Search instead, yielding some conceptual advantages, and experimentally illustrated good performance as well as lower execution times compared to gradient descent methods. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

An effective document image deblurring algorithm

An effective document image deblurring algorithm

引用

Conference on Computer Vision and pattern recognition (CVPR)

作者： Xiaogang Chen Xiangjian He Jie Yang Qiang Wu Key Laboratory of System Control and Information Processing Ministry of Education China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Centre of Innovation in IT Services and Applications University of Technology Sydney Australia

Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images. Traditional deblurring algorithms have been proposed to work for natural-scene images. However the natural-scene images are not consistent with document images. In this paper, the distinct characteristics of document images are investigated. We propose a content-aware prior for document image deblurring. It is based on document image foreground segmentation. Besides, an upper-bound constraint combined with total variation based method is proposed to suppress the rings in the deblurred image. Comparing with the traditional general purpose deblurring methods, the proposed deblurring algorithm can produce more pleasing results on document images. Encouraging experimental results demonstrate the efficacy of the proposed method.

关键词： image restoration Histograms TV Object segmentation Deconvolution Estimation image segmentation

来源：评论

学校读者我要写书评

暂无评论

VIDEO OBJECT TRACKING WITH DIFFERENTIAL STRUCTURAL SIMILARITY INDEX

VIDEO OBJECT TRACKING WITH DIFFERENTIAL STRUCTURAL SIMILARIT...

引用

IEEE International Conference on Acoustics, Speech and Signal processing

作者： Artur Loza Fanglin Wang Jie Yang Lyudmila Mihaylova Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China School of Computing and Communications Lancaster University UK

ISBN: (纸本)9781457705380

The Structural SIMilarity Measure (SSIM) combined with the sequential Monte Carlo approach has been shown [1] to achieve more reliable video object tracking performance, compared with similar methods based on colour and edge histograms and Bhattacharyya distance. However, the combined use of the structural similarity and a particle filter results in increased computational complexity of the algorithm. In this paper, a novel fast approach for video tracking based on the structural similarity measure is presented. The tracking algorithm proposed determines the state of the target (location, size) based on the gradient ascent procedure applied to the structural similarity surface of the video frame, thus avoiding computationally expensive sampling of the state space. The new method, while being computationally less expensive, has shown higher accuracy compared with the standard mean shift algorithm and the SSIM Particle Filter (SSIM-PF) [1] and its performance is illustrated over real video sequences.

关键词： Tracking structural similarity gradient ascent tracking similar measure Videotapes Video object Particle filters complexity classes state space

来源：评论

学校读者我要写书评

暂无评论

Line-based cascade labeling algorithm for hyper-scale issue

Line-based cascade labeling algorithm for hyper-scale issue

引用

2nd International Conference on Multimedia Technology, ICMT 2011

作者： Zhao, Hualong Sang, Hongshi Zhang, Tianxu Fan, Yebin National Key Laboratory of Science and Technology on Multi-spectral Information Processing Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781612847740

A fast and efficient algorithm is presented to label the connected components for binary image, especially for very huge images or any image larger than the available memory. The cascading style scheme compresses the algorithm's workspace to only 2 rows of image, which makes it possible to process any scale image with very low memory requirement. Two techniques are also applied for improving the performance further: the search path compression;the image data prefetching. An extensive comparison with the state-of-art algorithms is proposed, both on random and real datasets. Our algorithm shows an impressive speedup as much as 10X, while the total memory cost is significantly reduced. © 2011 IEEE.

关键词： Binary images

来源：评论

学校读者我要写书评

暂无评论

On-line signature verification using wavelet packet

On-line signature verification using wavelet packet

引用

IEEE International Joint Conference on Biometrics (IJCB)

作者： Kaiyue Wang Yunhong Wang Zhaoxiang Zhang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing China

ISBN: (纸本)9781457713583

In this paper, we propose a novel approach for on-line signature verification using wavelet packet. Signatures are first normalized and resampled, thus they have the same number of sample points. Then, several types of local features are extracted, so that wavelet transform can be applied on them. After that, we conduct experiments to select the best local features, wavelet bases and wavelet packet settings. Also, experiments are carried out to verify the reliability and efficiency of our approach, which performs better than discrete wavelet transform and competes with the state-of-arts.

关键词： Feature extraction Discrete wavelet transforms

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216页 << < 95 96 97 98 99 100 101 102 103 104 > >>

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：