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

1,494 篇 会议
651 篇 期刊文献
9 册 图书

馆藏范围

2,154 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,418 篇 工学
- 825 篇 计算机科学与技术...
- 703 篇 软件工程
- 297 篇 信息与通信工程
- 209 篇 控制科学与工程
- 208 篇 机械工程
- 202 篇 光学工程
- 157 篇 生物工程
- 153 篇 生物医学工程（可授...
- 135 篇 电子科学与技术（可...
- 109 篇 电气工程
- 92 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
- 33 篇 土木工程
- 29 篇 建筑学
- 27 篇 材料科学与工程（可...
- 27 篇 航空宇航科学与技...
- 24 篇 安全科学与工程
774 篇 理学
- 467 篇 数学
- 256 篇 物理学
- 173 篇 生物学
- 142 篇 统计学（可授理学、...
- 59 篇 化学
- 56 篇 系统科学
261 篇 管理学
- 149 篇 管理科学与工程(可...
- 123 篇 图书情报与档案管...
89 篇 医学
- 76 篇 临床医学
- 59 篇 基础医学(可授医学...
- 48 篇 药学(可授医学、理...
28 篇 法学
27 篇 艺术学
- 26 篇 设计学（可授艺术学...
19 篇 农学
11 篇 经济学
10 篇 军事学
9 篇 教育学
5 篇 文学
1 篇 哲学
1 篇 历史学

主题

215 篇 pattern recognit...
200 篇 image processing
137 篇 image segmentati...
135 篇 feature extracti...
80 篇 computer vision
76 篇 shape
67 篇 support vector m...
67 篇 image reconstruc...
67 篇 robustness
65 篇 face recognition
59 篇 cameras
53 篇 image analysis
53 篇 principal compon...
52 篇 image edge detec...
52 篇 image recognitio...
51 篇 training
48 篇 humans
46 篇 object detection
39 篇 data mining
38 篇 pixel

机构

262 篇 institute of ima...
241 篇 institute of ima...
74 篇 image processing...
44 篇 institute of ima...
35 篇 institute of ima...
30 篇 inst. of image p...
28 篇 institute of ima...
25 篇 institute of med...
23 篇 school of inform...
21 篇 institute of ima...
21 篇 pattern recognit...
18 篇 intelligent reco...
18 篇 state key labora...
17 篇 key laboratory o...
17 篇 institute for pa...
17 篇 laboratory of in...
17 篇 institute of ima...
17 篇 institute of ima...
16 篇 school of softwa...
15 篇 department of au...

作者

196 篇 yang jie
138 篇 jie yang
68 篇 ping guo
58 篇 yuncai liu
53 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 wang yunhong
24 篇 zhou yue
23 篇 wang lisheng
21 篇 liu yuncai
21 篇 shi pengfei
20 篇 hong-bin shen
20 篇 杨杰
19 篇 h. bischof
19 篇 xin yang

语言

2,018 篇 英文
81 篇 中文
58 篇 其他

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

共 2154 条记录，以下是1241-1250 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：

引用

International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS

作者： Huilin Xiong Panfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

In this paper, we present a scheme of similarity measure learning based on kernel optimization. Employing a data-dependent kernel model, the proposed scheme optimizes the spatial distribution of the training data in the feature space, aiming to maximize the class separability of the data in the feature space. The learned similarity measure, derived from the optimized kernel, exhibits a favorable feature to the task of pattern classification, that the spatial resolution of the embedding space is expanded around the boundary areas, and shrunk around the homogeneous areas. Experiments demonstrate that using the learned similarity measure can substantially improve the performances of the K-nearest-neighbor classifier.

关键词： Kernel Euclidean distance pattern recognition Area measurement Performance evaluation Extraterrestrial measurements Support vector machines Hilbert space Training data Spatial resolution

来源：评论

学校读者我要写书评

暂无评论

A framework for nuclear image enhancement based on the Anscomb transform and the bayesian thresholding

A framework for nuclear image enhancement based on the Ansco...

引用

IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Imen Mbazaa Najla Gribaa Nawres Khlifa Kamel Hamrouni Research Unit of Signal Processing Image Processing and Pattern Recognition National Engineering School of Sfax (ENIS) Tunisia

Scintigraphic imagery is an important data source since it provides morphological and functional clinical informations. However, scintigraphic images present very bad quality because of several degradation factors. In fact, the recorded data are embedded in noise modelled as the realisation of Poisson process. The aim of this paper is to provide a framework able to enhance nuclear images quality by Poisson intensity estimation. This framework consists, in a first step, of performing variance-stabilizing step for the Poisson process thanks to the Anscombe transformation. So the obtained data can be considered as contaminated by a white Gaussian noise. In a second step, it uses a Bayesian technique inspired of Pizurica approach, known in the literature for exhibiting good results as for white Gaussian noise. In fact, the complex wavelet packets were exploited regarding to Pizurica algorithm.

关键词： image enhancement Bayesian methods Gaussian noise Noise reduction Wavelet packets Wavelet transforms image processing image quality Pixel Cameras

来源：评论

学校读者我要写书评

暂无评论

recognition of People Reoccurrences Using Bag-Of-Features Representation and Support Vector Machine

Recognition of People Reoccurrences Using Bag-Of-Features Re...

引用

Chinese Conference on pattern recognition (CCPR)

作者： Kun Liu Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

In multi-camera surveillance systems, it is important to track the same person across multiple cameras. It is also desirable to recognize the individuals who have been previously observed in a single-camera system. The method that represents a object image using a bag of visual words has been commonly used in image retrieval applications. For recognizing people, it can outperform the methods mainly based on global appearance like color histogram, and fit better to low-quality images compared to biometric features such as face and gait. In this paper we study the details in feature extraction, vocabulary building and classifier learning of the bag-of-features approach for classifying tracks of different individuals. Based on this approach, we design a online system applying incremental support vector machine learning with a decision scheme to distinguish reoccurrences from new targets. We get promising results from the evaluation with more than 100 tracks of 50 different people.

关键词： Support vector machines Target tracking Surveillance Cameras image retrieval Face recognition image recognition Histograms Biometrics Feature extraction

来源：评论

学校读者我要写书评

暂无评论

High-Speed Video Transfer and Real-Time Infrared Spots Detection Based on FPGA

High-Speed Video Transfer and Real-Time Infrared Spots Detec...

引用

International Workshop on Computer Science and Engineering (WCSE)

作者： Maoxiang Huang Chenhao Wang Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

This paper presents a high-speed video transfer scheme and a real-time infrared spots detection algorithm designed for field programmable gate array (FPGA) implementation. Rather than IEEE 1394a, two IEEE 1394b interfaces are alternatively used to ensure high-resolution image transfer in real time. In order to execute fast infrared spots detection, a parallel algorithm that processes four pixels per clock cycle is proposed. It detects infrared spots in a single pass over a frame and its implementation is only composed of combinatorial logic and registers. Furthermore, the execution time of the algorithm is independent of image content. A prototype system is implemented in an FPGA device. It is capable of transferring 1024 × 768 images smoothly at 60 fps and detecting infrared sports in a 1024 × 768 image within 1.966ms, demonstrating its superiority over the existing multi-pass algorithms and some other one-pass algorithms. Details of software and hardware architecture are discussed in this paper.

关键词： Infrared detectors Field programmable gate arrays Detection algorithms Algorithm design and analysis Parallel algorithms Clocks Logic devices Software prototyping Prototypes Infrared imaging

来源：评论

学校读者我要写书评

暂无评论

Receptive Field of Visual Cortex Works Follow Multi-Resolution Statistics?

Receptive Field of Visual Cortex Works Follow Multi-Resoluti...

引用

Chinese Conference on pattern recognition (CCPR)

作者： Nanhong Tan Pengfei Shi Institute of Image Processing & Pattern Recognition Jiao Tong University Shanghai China

How does man's vision system work? In some cross research fields like neurobiology, psychology and robotics researchers have been work hard to answer the question for long time. Now on visual cortex neuroscience has accumulate much experimental data and some theories like information redundancy reduction, sparse coding have given their interpretation of experiments, but understanding information processing as a whole , especially to make a representation of image with basic conceptions of receptive field and direction column, is still a difficult task. In our work, together with consideration of psychology and sparse coding a multi-resolution statistics scheme is given, signal grads statistics is carried out according to resolution level, strength and direction in space respectively. By comparing the distribution of nerve cell on visual cortex with one of neural network which works follow multi-resolution statistics, the similarity of both tell the arithmetic meanings of receptive field and direction column. With modern neuroscience experimental means the validation of the point of view in this article may be done in principle.

关键词： Statistics Statistical distributions Psychology Neuroscience Machine vision Robots image coding Information processing Signal resolution Biological neural networks

来源：评论

学校读者我要写书评

暂无评论

Gender Classification of Facial images Based on Multiple Facial Regions

Gender Classification of Facial Images Based on Multiple Fac...

引用

Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Li Lu Ziyi Xu Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

In this paper, we describe an experimental investigation to evaluate the significance of different facial regions of a person in the task of gender classification. For this purpose we use a support vector machine (SVM) classifier on face images for gender classification. We perform experiments using different facial regions of varying resolution so that the significance of facial regions in this application can be assessed. According to the results obtained, the upper region of the face proved to be the most significant for the task of gender classification. Moreover, the changes in the resolution of the facial region images do not produce significant changes in the result. Based on the significance of different facial regions, we propose a gender classification method based on fusion of multiple facial regions and show that this method is able to compensate for facial expressions and lead to better overall performance.

关键词： Support vector machines Support vector machine classification Face detection Humans Face recognition Computer vision Principal component analysis Classification tree analysis Nose Computer science

来源：评论

学校读者我要写书评

暂无评论

Using silhouette for pose estimation of object with surface of revolution

Using silhouette for pose estimation of object with surface ...

引用

IEEE International Conference on image processing

作者： Ming Zhang Yinqiang Zheng Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424456536;9781424456543

A novel approach of pose estimation is proposed for the object with surface of revolution(SOR). The silhouette of the object is the only information necessary for this method and no cross section circle (latitude circle) is needed. In this article, we explain the property of tangent circle and use it to establish constraint between two images of object with different poses. Such constraint can help to solve the pose of object in both images. We test our method with a simulation experiment and use it to estimate the pose for both rigid body and articulated object.

关键词： image reconstruction Cameras Surface reconstruction image processing pattern recognition Testing Computational modeling Computer vision Application software Data mining

来源：评论

学校读者我要写书评

暂无评论

Markless Human Motion Capture by Voxel Labeling

Markless Human Motion Capture by Voxel Labeling

引用

International Conference on image and Graphics (ICIG)

作者： Junchi Yan Jian Liu Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai JiaoTong University Shanghai China

ISBN: (纸本)9780769552378;9780769538839

We address the issue of markless human motion capture by voxel labeling. We explore the problem of pose estimation from voxel cloud based on a predefined human model. First, voxels are labeled into different individual parts of the body. Then, the joints are extracted from labeled voxels. Finally, the joint angles are estimated from the joints. Tested on the voxel data in our experiments, our algorithm is insensitive to noise and achieve fine accuracy in pose estimation.

关键词： Humans Labeling Biological system modeling Joints Tracking Shape Motion analysis Data mining Motion estimation Head

来源：评论

学校读者我要写书评

暂无评论

Fault tolerant interval fusion for moving vehicle classification in wireless sensor networks

Fault tolerant interval fusion for moving vehicle classifica...

引用

IET International Communication Conference on Wireless Mobile and Computing (CCWMC 2009)

作者： C. T. Liu H. Huo T. Fang D. R. Li Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Faults of sensor data will always present in sensor networks because of unreliable communication links, measurement interference and harsh environment. Developing fusion algorithms that can tolerate faults is necessary for reliable sensor network applications. In this paper, we study the fault tolerant fusion for moving vehicle classification based on Marzullo's interval fusion algorithm. The unreliable sensor data are represented using interval estimations. To reduce communication cost, quantized interval representation is adopted. Simulation results demonstrate the validity of the interval fusion algorithm. By using quantized representation, the communication cost is reduced.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Prediction of Protein B-Factor Profile Based on Feature Selection and Kernel Learning

Prediction of Protein B-Factor Profile Based on Feature Sele...

引用

Chinese Conference on pattern recognition (CCPR)

作者： Xiao-Yong Pan Hong-Bin Shen Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

B-factor reflects the atom's uncertainty about its average position within a crystal structure and is highly correlated with protein functions. In this article, we propose a novel approach to predict the real value of B-factor. We firstly extract features from the protein sequences and their evolution information, then apply random forest tree to select the important features, which are further inputted to a two-stage support vector regression (SVR) for prediction. Our results have revealed that a systematic analysis of the importance of different features makes us have deep insights into the different contributions of features and is very necessary for developing effective B-factor prediction tools. We thus develop an online Web server, which is freely available at http://***/bioinf/PredBF for academic use.

关键词： Proteins Kernel Amino acids image processing pattern recognition Uncertainty Data mining Feature extraction Regression tree analysis Web server

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 << < 121 122 123 124 125 126 127 128 129 130 > >>

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：