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

526 篇 会议
178 篇 期刊文献
1 册 图书

馆藏范围

705 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

328 篇 工学
- 160 篇 计算机科学与技术...
- 141 篇 软件工程
- 100 篇 电气工程
- 93 篇 信息与通信工程
- 67 篇 光学工程
- 58 篇 电子科学与技术（可...
- 43 篇 生物医学工程（可授...
- 42 篇 仪器科学与技术
- 36 篇 控制科学与工程
- 33 篇 生物工程
- 20 篇 机械工程
- 17 篇 环境科学与工程（可...
- 14 篇 土木工程
- 14 篇 测绘科学与技术
- 14 篇 化学工程与技术
- 13 篇 航空宇航科学与技...
- 11 篇 建筑学
- 10 篇 材料科学与工程（可...
213 篇 理学
- 100 篇 数学
- 96 篇 物理学
- 39 篇 生物学
- 38 篇 统计学（可授理学、...
- 18 篇 化学
- 17 篇 大气科学
- 12 篇 地球物理学
49 篇 管理学
- 31 篇 图书情报与档案管...
- 18 篇 管理科学与工程(可...
30 篇 医学
- 29 篇 临床医学
- 16 篇 基础医学(可授医学...
- 10 篇 药学(可授医学、理...
16 篇 农学
8 篇 法学
5 篇 艺术学
2 篇 经济学
2 篇 教育学
1 篇 军事学

主题

83 篇 remote sensing
78 篇 image processing
75 篇 laboratories
48 篇 signal processin...
44 篇 radar measuremen...
41 篇 image segmentati...
38 篇 hyperspectral im...
36 篇 sea measurements
33 篇 image coding
32 篇 pixel
31 篇 feature extracti...
31 篇 shape
30 篇 image analysis
27 篇 frequency
27 篇 image reconstruc...
24 篇 support vector m...
24 篇 hyperspectral se...
23 篇 data mining
23 篇 sea surface
21 篇 radar scattering

机构

21 篇 signal and image...
19 篇 control and inte...
16 篇 remote sensing s...
15 篇 department of el...
15 篇 remote sensing s...
13 篇 remote sensing s...
12 篇 state key labora...
11 篇 video and image ...
10 篇 remote sensing s...
10 篇 radar systems an...
9 篇 department of ra...
9 篇 microwave remote...
8 篇 microwave remote...
7 篇 central florida ...
6 篇 image analysis l...
6 篇 department of el...
6 篇 state key labora...
6 篇 computer vision ...
6 篇 control and inte...
6 篇 remote sensing d...

作者

37 篇 chein-i chang
26 篇 chang chein-i
21 篇 hamid soltanian-...
16 篇 chang chein-i.
15 篇 gardner wa
12 篇 soltanian-zadeh ...
12 篇 s.k. mitra
12 篇 e.j. delp
11 篇 edward j. delp
11 篇 w.l. jones
10 篇 a.a. farag
10 篇 aly a. farag
10 篇 wu chao-cheng
9 篇 zezhong zheng
9 篇 qian du
9 篇 jiang li
9 篇 r.e. mcintosh
9 篇 guoqing zhou
8 篇 j. zec
8 篇 mingcang zhu

语言

686 篇 英文
16 篇 其他
3 篇 中文

检索条件"机构=Electrical and Computer Engineering Department Remote Sensing and Image Processing Laboratory"

共 705 条记录，以下是381-390 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：

3D ROC Analysis for Medical Imaging Diagnosis

3D ROC Analysis for Medical Imaging Diagnosis

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Su Wang C.-I. Chang Sheng-Chih Yang Giu-Cheng Hsu Hsian-He Hsu Pau-Choo Chung Shu-Mei Guo San-Kan Lee Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA Department of Electrical Engineering National Cheng Kung University Taiwan Department of Radiology Tri-Service General Hospital and National Defense Medical Center Taipei Taiwan Department of Computer Science and Information Engineering National Cheng Kung University Taiwan Administrative Office Suao Veterans Hospital Yilan Taiwan

Receiver operating characteristics (ROC) has been widely used as a performance evaluation tool to measure effectiveness of medical modalities. It is derived from a standard detection theory with false alarm and detection power interpreted as false positive (FP) and true positive (TP) respectively in terms of medical diagnosis. The ROC curve is plotted based on TP versus FP via hard decisions. This paper presents a three dimensional (3D) ROC analysis which extends the traditional two-dimensional (2D) ROC analysis by including a threshold parameter in a third dimension resulting from soft decisions, (SD). As a result, a 3D ROC curve can be plotted based on three parameters, TP, FP and SD. By virtue of such a 3D ROC curve three two-dimensional (2D) ROC curves can be derived, one of which is the traditional 2D ROC curve of TP versus FP with SD reduced to hard decision. In order to illustrate its utility in medical diagnosis, its application to magnetic resonance (MR) image classification is demonstrated

关键词： image analysis Biomedical imaging Radar detection Medical diagnosis Detectors computer science Hospitals Medical diagnostic imaging Magnetic analysis Performance analysis

来源：评论

学校读者我要写书评

暂无评论

A Key Frame Selection-Based Facial Expression Recognition System

A Key Frame Selection-Based Facial Expression Recognition Sy...

引用

International Conference on Innovative Computing, Information and Control (ICICIC)

作者： S.M. Guo Y.A. Pan Y.C. Liao C.Y. Hsu J.S.H. Tsai C.I. Chang Department of Computer Science and Information Engineering National Engineering Kung University Tainan Taiwan Department of Computer Science and Information Engineering National Cheng-Kung University Tainan Taiwan Republic of China Department of Computer Science and Electrical Engineering University of Maryland Baltimore County (UMBC) Baltimore MD U.S.A. National Cheng Kung University Tainan TW Department of Electrical Engineering National Engineering Kung University Tainan Taiwan Department of Electrical Engineering National Cheng-Kung University Tainan Taiwan Republic of China Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore Baltimore MD USA

Automatic recognition of facial expressions has received considerable interest in the computer vision. This paper presents a key frame selection-based system for recognition of four basic facial expressions: happiness, anger, sadness and surprise, in image sequences. The proposed new approach is designed for recognition of facial expressions via a key frame selection of the facial motion from an image sequence where an optical flow is used to determine changes in a facial expression, experimental results demonstrate that the proposed automatic recognition process significantly improves the computational complexity encountered in facial expression recognition while enhancing the ability of recognition

关键词： Face recognition Face detection image recognition image sequences Feature extraction Facial features computer science remote sensing Signal processing image processing

来源：评论

学校读者我要写书评

暂无评论

Inter-Satellite Microwave Radiometer Calibration Between AMSR and TMI

Inter-Satellite Microwave Radiometer Calibration Between AMS...

引用

IEEE International Symposium on Geoscience and remote sensing (IGARSS)

作者： L. Hong W. Jones T. Wilheit Central Florida Remote Sensing Laboratory Electrical and Computer Engineering Department University of Central Florida Orlando FL USA Brazos Earth System Science Inc. College Station TX USA

There are many satellites in orbit using total power microwave radiometers with external calibration targets. Pre- launch and on-orbit calibrations have been developed and applied to ensure accurate measurements over decades. But because of different designs as well as instrument aging effects, subsequent calibration is necessary to improve or maintain measurement accuracy. In-orbit inter-satellite radiometric calibration techniques could provide a long-term, group-wise solution. This paper presents our current research, which analyzes two methods to perform this calibration based upon coincident brightness measurements. In the first approach we build a transfer relationship based on three adjacent frequency measurements and major environmental parameters using radiative transfer model normalization. In the second approach, a linear regression is used among all frequency and both polarization measurements and their transforms. We utilize Radiative transfer models (RTM's) in both methods, and refine them under different environmental conditions and later, we test the RTM models in order to better simulate brightness temperature retrieval before use in building transfer relationships. We validate the two different approaches by comparing external measurements between AMSR on ADEOS-II and TMI on TRMM. Results of calibration comparisons are provided along with accuracy prediction and error source analysis. By pursuing this research, the feasibility of building calibrations between polar-orbit satellites can be established for improved operational and scientific utilization of microwave radiometer measurements.

关键词： Microwave radiometry Calibration Extraterrestrial measurements Satellite broadcasting Frequency measurement Instruments Aging Performance analysis Performance evaluation Brightness

来源：评论

学校读者我要写书评

暂无评论

Development of Oceanic Wind Vector Model Function for AMSR Radiometer on ADEOS-II Satellite

Development of Oceanic Wind Vector Model Function for AMSR R...

引用

IEEE International Symposium on Geoscience and remote sensing (IGARSS)

作者： S. Soisuvarn W. Jones Z. Jelenak Central Florida Remote Sensing Laboratory Electrical and Computer Engineering Department University of Central Florida Orlando FL USA Center for Satellite Applications and Research UCAR-NOAA/NESDIS Camp Springs MD USA

来源：评论

学校读者我要写书评

暂无评论

Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection

Improved Nonlinear Manifold Learning for Land Cover Classifi...

引用

IEEE International Symposium on Geoscience and remote sensing (IGARSS)

作者： Y. Chen M. Crawford J. Ghosh Center for Space Research University of Texas Austin Austin TX USA Laboratory for Applications of Remote Sensing Lilly Hall of Life Sciences Purdue University USA Department of Electrical & Computer Engineering University of Technology Austin USA

Nonlinear manifold learning algorithms, mainly isometric feature mapping (Isomap) and local linear embedding (LLE), determine the low-dimensional embedding of the original high dimensional data by finding the geometric distances between samples. Researchers in the remote sensing community have successfully applied Isomap to hyperspectral data to extract useful information. Although results are promising, computational requirements of the local search process are exhorbitant. Landmark-Isomap, which utilizes randomly selected sample points to perform the search, mitigates these problems, but samples of some classes are located in spatially disjointed clusters in the embedded space. We propose an alternative approach to selecting landmark points which focuses on the boundaries of the clusters, rather than randomly selected points or cluster centers. The unique Isomap is evaluated by SStress, a good- of-fit measure, and reconstructed with reduced computation, which makes implementation with other classifiers plausible for large data sets. The new method is implemented and applied to Hyperion hyperspectral data collected over the Okavango Delta of Botswana.

关键词： Hyperspectral sensors Hyperspectral imaging remote sensing Manifolds image reconstruction image segmentation Laboratories Application software Data mining Extraterrestrial phenomena

来源：评论

学校读者我要写书评

暂无评论

Robust Segmentation and Volumetric Registration in a Multi-view 3D Freehand Ultrasound Reconstruction System

Robust Segmentation and Volumetric Registration in a Multi-v...

引用

Asilomar Conference on Signals, Systems & computers

作者： Honggang Yu Marios S. Pattichis M. Beth Goens Department of Electrical and Computer Engineering image and video Processing and Communications Laboratory University of New Mexico Albuquerque NM USA Pediatric Cardiology Clinic of the Children's Hospital Heart Center University of New Mexico Albuquerque NM USA

In this paper, we present a new reconstruction method with volumetric registration and semi-automatic segmentation in a multi-view 3D freehand ultrasound imaging system. The new volumetric registration approach is performed on binarized walls using non-linear least squares. It can provide accurate multi-view reconstructions despite significant rigid target motion between different acoustic window acquisitions. A hybrid adaptive gradient vector flow (GVF) geometric active contour (GAC) model is used for image sequence segmentation. It allows for relatively simple initialization of the deformable model, while avoiding edge leaking at poor edges and small boundary gaps. The algorithms were validated on four ultrasound phantom data sets (eight sequences of a total of 336 images) and two echocardiography data sets (four sequences for a total of 75 images). Quantitative evaluation shows that automatic segmentation is comparable with manual segmentation. Using breath-holding and cardiac gating, volume estimates from multi- view reconstructions of the left-ventricle were found to be in better agreement with clinical estimates than volumes estimated from single view reconstructions.

关键词： Robustness Ultrasonic imaging image segmentation image reconstruction Reconstruction algorithms Acoustic imaging Least squares methods Active contours Solid modeling image sequences

来源：评论

学校读者我要写书评

暂无评论

Rule-based decision-making framework for knowledge-based anatomical landmark localization (K-BALL)

Rule-based decision-making framework for knowledge-based ana...

引用

IEEE International Symposium on Biomedical Imaging

作者： M.-R. Siadat H. Soltanian-Zadeh K. Elisevich Henry Ford Health System Radiology Image Analysis Laboratory Detroit MI USA Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Neurosurgery Henry Ford Health System Detroit MI USA

K-BALL is a general method for localization of anatomical phenomena of the same origin with natural discrepancies distributed over a reference space, e.g., human brain anatomical structures. In this paper, we focus on information analysis step (2nd step) of K-BALL during which landmarks extracted in its first step are evaluated. We provide a framework in which rules are automatically generated based on estimated and derived models. We show that the rules based on the derived models can improve the overall success rate of K-BALL. Each rule evaluates the extracted points by producing an intermediate confidence factor (ICNF). A total confidence factor is calculated using ICNF's to facilitate the acceptance or rejection of a set of points as landmarks of interest. Using the rules merely based on the estimated models, simulation study produced an overall success rate of 91.8%. Using the rules based on both of the estimated and derived models, this rate increased to 92.5%

关键词： Decision making Hippocampus Information analysis Data mining Humans Radiology image analysis Radio control Process control Control systems

来源：评论

学校读者我要写书评

暂无评论

Determination of the Grey Level Ranks for the Segmentation of Textured images

Determination of the Grey Level Ranks for the Segmentation o...

引用

IEEE International Symposium on Industrial Electronics (ISIE)

作者： Z. Ameur A. Adane S. Ameur Faculty of Electrical Engineering and Computer Science Department of Electronics Laboratory of Random Phenomena Analysis and Modeling LAMPA Mouloud Mammeri University Tizi Ouzou Algeria Faculty of Electronics and Computer Science Department of Telecommunications Laboratory of Image Processing and Radiation University of Sciences and Technology of Algiers U. S. T. H. B. Bab-Ezzouar Algeria

In many cases, an image is made of various types of texture. Such diversity can be usefully exploited to get a suitable decomposition of the image into typical classes and then, identify its constitutive elements. Among the approaches used to segment textured images, those based on the statistical analysis of the neighborhood of each pixel seem to be most efficient. In this paper, this kind of method is implemented, which consists in coding the pixels surrounding each point of the image by taking into account the path traveling through them and their grey levels. The rank vectors namely the codes obtained for all the possible paths, are then classified using the K-means algorithm. Considering the 24- rank vectors, this method is tested on different images of the Brodatz album and compared with Laws filters and GLCM. It yields a satisfactory reproduction of the image contours and a classification ratio exceeding 98 %. The 24 rank based-method is also applied to meteorological images collected by Meteosat over Europe and North Africa during December 1994. It is found that these images can be segmented into eight typical classes assignable to the soils, the seas and the clouds observed in the regions under study.

关键词： image segmentation Pixel Statistical analysis image coding Testing Filters Meteorology Europe Africa Soil

来源：评论

学校读者我要写书评

暂无评论

Medical Data Mining using Particle Swarm Optimization for Temporal Lobe Epilepsy

Medical Data Mining using Particle Swarm Optimization for Te...

引用

Congress on Evolutionary Computation

作者： M. Ghannad-Rezaie H. Soltanain-Zadeh M.-R. Siadat K.V. Elisevich Henry Ford Health System and Wayne State University Detroit MI USA Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Neurosurgery Department Henry Ford Health System Detroit MI USA

In clinical problems, numerous factors are usually involved in a medical syndrome. New advances in medicine provide a broad range of diagnosis methods to cover all aspects of a disease. However, huge amounts of raw information may confuse clinicians and decrease decision accuracy. computerized knowledge extraction is an active area of research in medical informatics. This paper suggests a new medical data mining approach using an advanced swarm intelligence data mining algorithm. Considering medical knowledge discovery difficulties, this approach addresses common issues such as missing value management and interactive rule extraction. Here, surgery candidate selection in temporal lobe epilepsy is the main target application. However, the general idea can be applied to other medical knowledge discovery problems. Experimental results show noticeable performance improvement in the final rule-set quality while the method is flexible and fast.

关键词： Data mining Particle swarm optimization Temporal lobe Epilepsy Medical diagnostic imaging Biomedical imaging Coronary arteriosclerosis Diseases Surgery Medical services

来源：评论

学校读者我要写书评

暂无评论

Mixed PCA/ICA spectral/spatial compression for hyperspectral imagery

Mixed PCA/ICA spectral/spatial compression for hyperspectral...

引用

Chemical and Biological Standoff Detection III

作者： Wang, Jing Chang, Chein-I. Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250

Principal components analysis (PCA) has been widely used in many applications, particularly, data compression. Independent component analysis (ICA) has been also developed for blind source separation along with many other applications such as channel equalization, speech processing. Recently, it has been shown that the ICA can be also used for hyperspectral data compression. This paper investigates these two transforms in hyperspectral data compression and further evaluates their strengths and weaknesses in applications of target detection, mixed pixel classification and abundance quantification. In order to take advantage of the strengths of both transform, a new transform, called mixed PCA/ICA transform is developed in this paper. The idea of the proposed mixed PCA/ICA transform is derived from the fact that it can integrate different levels of information captured by the PCA and ICA. In doing so, it combines m principal components (PCs) resulting from the PCA and n independent components (ICs) generated by the ICA to form a new set of (m+n) mixed components used for hyperspectral data compression. The resulting transform is referred to as mixed (m,n)-PCA/ICA transform. In order to determine the total number of components, p needed to be generated for the mixed (m,m)-PCA/ICA transform, a recently developed virtual dimensionality (VD) is introduced to estimate the p where p = m + n. If m = p and n = 0, then mixed (m,n)-PCA/ICA transform is reduced to PCA transform. On the other hand, if m = 0 and n = p, then mixed (m,n)-PCA/ICA transform is reduced to ICA. Since various combinations of m and n have different impacts on the performance of the mixed PCA/ICA spectral/spatial compression in applications, experiments based on subpixel detection and mixed pixel quantification are conducted for performance evaluation.

关键词： image compression

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71页 << < 35 36 37 38 39 40 41 42 43 44 > >>

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：