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

4,441 篇 会议
235 篇 期刊文献
54 册 图书
8 篇 学位论文
3 篇 资讯

馆藏范围

4,741 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,631 篇 工学
- 1,507 篇 计算机科学与技术...
- 886 篇 电气工程
- 777 篇 软件工程
- 471 篇 信息与通信工程
- 336 篇 控制科学与工程
- 292 篇 生物医学工程（可授...
- 224 篇 光学工程
- 214 篇 机械工程
- 161 篇 电子科学与技术（可...
- 145 篇 仪器科学与技术
- 127 篇 生物工程
- 90 篇 材料科学与工程（可...
- 68 篇 测绘科学与技术
- 60 篇 化学工程与技术
- 32 篇 土木工程
- 27 篇 建筑学
- 25 篇 力学（可授工学、理...
- 25 篇 交通运输工程
1,490 篇 理学
- 929 篇 物理学
- 657 篇 数学
- 431 篇 统计学（可授理学、...
- 228 篇 系统科学
- 140 篇 生物学
- 67 篇 化学
762 篇 医学
- 595 篇 临床医学
- 223 篇 特种医学
- 78 篇 基础医学(可授医学...
- 44 篇 药学(可授医学、理...
218 篇 管理学
- 120 篇 管理科学与工程(可...
- 103 篇 图书情报与档案管...
24 篇 农学
17 篇 法学
13 篇 教育学
12 篇 经济学
10 篇 艺术学
9 篇 文学
2 篇 军事学

主题

550 篇 image processing
464 篇 image segmentati...
391 篇 stochastic proce...
367 篇 statistical anal...
263 篇 feature extracti...
230 篇 bayesian methods
224 篇 image reconstruc...
188 篇 signal processin...
187 篇 image analysis
141 篇 pixel
135 篇 image restoratio...
109 篇 statistics
106 篇 image edge detec...
106 篇 pattern recognit...
103 篇 hidden markov mo...
103 篇 image coding
100 篇 noise reduction
96 篇 testing
95 篇 visualization
95 篇 histograms

机构

10 篇 school of electr...
8 篇 indian statistic...
7 篇 univ penn dept r...
7 篇 department of el...
7 篇 department of el...
7 篇 univ waterloo de...
7 篇 univ michigan de...
6 篇 nanyang technol ...
6 篇 smart computer v...
6 篇 computer vision ...
5 篇 georgia inst tec...
5 篇 microsoft resear...
5 篇 carnegie mellon ...
5 篇 signal and image...
5 篇 peng cheng lab p...
4 篇 google res mount...
4 篇 texas a&m univ.
4 篇 shanghai jiao to...
4 篇 department of sy...
4 篇 ivan kozhedub kh...

作者

9 篇 landman bennett ...
8 篇 vorapoj patanavi...
8 篇 dougherty er
8 篇 h. krim
7 篇 yannick berthoum...
7 篇 a.s. willsky
7 篇 sang hwa lee
6 篇 astola jaakko t.
6 篇 prince jerry l.
6 篇 umapada pal
6 篇 alexander wong
6 篇 udupa jk
6 篇 nam ik cho
6 篇 w. pieczynski
6 篇 fessler jeffrey ...
6 篇 w.c. karl
6 篇 pesquet jean-chr...
6 篇 pal umapada
6 篇 jong-il park
6 篇 pieczynski w

语言

4,583 篇 英文
116 篇 其他
33 篇 中文
13 篇 土耳其文
1 篇 西班牙文
1 篇 法文
1 篇 俄文

检索条件"任意字段=Conference on Statistical and Stochastic Methods for Image Processing"

共 4741 条记录，以下是1051-1060 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：

Submodular Field Grammars: Representation, Inference, and Application to image Parsing 32

Submodular Field Grammars: Representation, Inference, and Ap...

引用

32nd conference on Neural Information processing Systems (NIPS)

作者： Friesen, Abram L. Domingos, Pedro Univ Washington Paul G Allen Sch Comp Sci & Engn Seattle WA 98195 USA

Natural scenes contain many layers of part-subpart structure, and distributions over them are thus naturally represented by stochastic image grammars, with one production per decomposition of a part. Unfortunately, in contrast to language grammars, where the number of possible split points for a production A -> BC is linear in the length of A, in an image there are an exponential number of ways to split a region into subregions. This makes parsing intractable and requires image grammars to be severely restricted in practice, for example by allowing only rectangular regions. In this paper, we address this problem by associating with each production a submodular Markov random field whose labels are the subparts and whose labeling segments the current object into these subparts. We call the resulting model a submodular field grammar (SFG). Finding the MAP split of a region into subregions is now tractable, and by exploiting this we develop an efficient approximate algorithm for MAP parsing of images with SFGs. Empirically, we show promising improvements in accuracy when using SFGs for scene understanding, and demonstrate exponential improvements in inference time compared to traditional methods, while returning comparable minima.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

BFAGC: A Bias-Free Adaptive Gamma Correction Method for image Enhancement

BFAGC: A Bias-Free Adaptive Gamma Correction Method for Imag...

引用

International conference on Advances in Science, Engineering and Robotics Technology (ICASERT)

作者： Nazifa Akter Sharmin Sultana Rahat Hossain Faisal Md. Mostafijur Rahman Dept. of Computer Science and Engineering University of Barishal Barishal Bangladesh

One of the most interesting and visually appealing areas of image processing is image enhancement. In order to enhance the images, various methods have already been introduced. But, these existing enhancement methods are hardly able to enhance all types of images. To address this issue, Adaptive Gamma Correction (AGC) method has been introduced which classifies images into several classes based on the statistical information of the image and then applies an adaptive gamma correction method. However, AGC method can be affected by outlier pixels and fails to appropriately enhance the images. To solve this problem, we propose an improved version of Adaptive Gamma Correction (AGC) namely Bias-Free Adaptive Gamma Correction (BFAGC). The proposed BFAGC is rarely affected by the outlier pixels. The extensive experimental analysis has been performed to evaluate the efficacy of the proposed BFAGC method. Both the qualitative and quantitative evaluation metrics have shown that BFAGC produces comparatively better enhanced images than AGC and other existing state-of-the-art methods.

关键词： Harmonic analysis Brightness Histograms image enhancement image color analysis Adaptive equalizers

来源：评论

学校读者我要写书评

暂无评论

Blind image sharpness metric based on edge and texture features

Blind image sharpness metric based on edge and texture featu...

引用

conference on Real-Time image and Video processing

作者： Maheshwary, Priti Shirvaikar, Mukul Grecos, Christos AISECT Univ Comp Sci & Engn Dept Bhopal 462039 India Univ Texas Tyler Elect Engn Dept Tyler TX 75799 USA Cent Washington Univ Comp Sci Dept Ellensburg WA 98926 USA

ISBN: (数字)9781510618527

ISBN: (纸本)9781510618527

Video is fast becoming the most common medium for media content in the present era. It is especially helpful in security situations for the detection of criminal or threat-related activity. Police routinely use videos as evidence in the analysis of criminal cases. It is important in such applications to get a high-quality still image from such videos. However, there are situations where the images are blurred and have artifacts as they are extracted from moving video repositories. A practical solution to this problem is to sharpen these images using advanced processing techniques to obtain higher display quality. Due to vast amount of data, it is extremely important that any such enhancement technique satisfy real-time processing constraints, in order for it to be usable by the end user. In this paper, a blind image sharpness metric is proposed using a combination of edge and textural features. Edges can be detected using different methods like Canny, Sobel, Prewitt and Roberts that are commonly accepted in the image processing literature. The Canny edge detection method typically provides better results due to extra processing steps and can be effectively used as a model feature extractor for the image. Wavelet processing based on the db2, sym4, and haar is also utilized to extract texture features. The normalized luminance coefficients of natural images are known to obey the generalized Gaussian probability distribution. Consequently, this characteristic is utilized to extract statistical features in the regions of interest (ROI) and regions of non-interest respectively. The extracted features are then merged together to obtain the sharpened image. The principle behind image formation is to merge the wavelet decompositions of the two original images using fusion methods applied to the approximation and details coefficients. The two images must be of the same size and are supposed to be associated with indexed images on a common color map. It is worth noting that t

关键词： image fusion image quality Cameras Edge detection image processing Distortion Video Feature extraction Wavelets Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Estimated edge's points position. Optimized model for polarimetric SAR imagery

Estimated edge's points position. Optimized model for polari...

引用

Institute-of-Electrical-and-Electronics-Engineers (IEEE) Biennial Congress of Argentina

作者： Monferran, Daniel Sartarelli, Andres Univ Nacl Gen Sarmiento Inst Ind Dept Sistemas Informac Juan Maria Gutierrez 1150 RA-1613 Buenos Aires DF Argentina Univ Nacl Gen Sarmiento Inst Desarrollo Humano Juan Maria Gutierrez 1150 RA-1613 Buenos Aires DF Argentina Univ Tecnol Nacl FRD San Martin 1171 RA-2804 Buenos Aires DF Argentina

ISBN: (纸本)9781538650325

The Polarimetric Synthetic Aperture Radar is a special type of radar widely used in remote sensing since it allows capturing high resolution long-range terrestrial images. PolSAR images contain a large volume of information and are also contaminated with speckle noise which is neither Gaussian nor additive, for this reason the automatic interpretation of PolSAR images is a very difficult task. The characteristics of this noise make it necessary to use statistical methods for processing and digital analysis in this type of images. The complex Wishart distribution is the statistical distribution model most used to work with images generated from polarimetric multilook data. This distribution is indexed by two parameters: Sigma the covariance matrix and L the equivalent number of looks used to form the image. It is necessary to work with a very precise L value, this has led to research works aimed at reducing the bias in their estimation. The importance of processing times in estimating the edge points position has led to analyze and compare the processing times consumed using different estimation methods. In this work, different edge points identification techniques using the complex Wishart distribution, maximum likelihood, stochastic distances and active contours are analyzed, with the aim of reducing the computational cost in the estimation of the position of the edge points for the segmentation of PolSAR images. By applying the signal model in discrete time, optimized analytical expressions are obtained to estimate the edge points position with a lower computational cost. For the graphic visualization of the results, the region edges with B-spline curves are delineated. As a significant fact, in the particular case of complex Wishart distribution, the new analytical expression developed does not include the equivalent number of looks L. With Montecarlo experiments in simulated and real PolSAR images, the reduction of processing times is evaluated.

关键词： Covariance matrices image edge detection Synthetic aperture radar image segmentation Computational modeling Radar imaging

来源：评论

学校读者我要写书评

暂无评论

Kernel Sparse Representation Based Dimensionality Reduction with Applications to image Classification 18

Kernel Sparse Representation Based Dimensionality Reduction ...

引用

3rd International conference on Intelligent Information processing (ICIIP)

作者： Zhang, Di He, Jiazhong Zhao, Yun Guangdong Med Univ Dongguan Guangdong Peoples R China Shaoguan Univ Shaoguan Guangdong Peoples R China

ISBN: (纸本)9781450364966

Sparse representation is a statistical image modeling technique and has been successful used in image classification. In this paper, we present a dimensionality reduction method that well fits sparse representation in the kernel space. The proposed method maximizes the between-class reconstruction residual error while minimizes the within-class reconstruction residual error in the kernel space, thus improves the recognition accuracy of the sparse representation-based classifier. Experiments on PIE, the extended Yale B, and USPS databases demonstrates the effectiveness of the proposed method.

关键词： sparse representation kernel methods dimensionality reduction image classification

来源：评论

学校读者我要写书评

暂无评论

Blind Video Quality Assessment Based on Human Visual Characteristic

Blind Video Quality Assessment Based on Human Visual Charact...

引用

IEEE International Symposium on Parallel and Distributed processing with Applications and IEEE International conference on Ubiquitous Computing and Communications (ISPA/IUCC)

作者： Shiyu Zhou Xiqing Liu Yuanbing Tian Bin Fu Xiuyan Xia Jin Ge China Unicom Network Technology Research Institute Beijing China Zhiyou Open Source Communication Research Institute (Beijing) Co. Ltd Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781728152103

Based human visual speed perception characteristic, a video quanlity assessment(VQA) algorithm is introduced in the paper. Natural video statistics features extraction and weighting factors are incorporated in the scheme. In the VQA, considering the impact both video content itself and HVS's characteristic on human subjective perception, we propose weighting factors to scale the effect of those features, and it contains two parts: motion information and perception noise. And natural video statistics features relate to the spatial and temporal domain are extracted. The weighting factors would be used to combine both the temporal and spatial features, then generate the quality of each frame. Finally, the video quality score can be obtained by pooling scheme. LIVE database, EPFL-PoliMI database and some other generated test videos were used in our experiments, and the results indicate our model has outstanding performance.

关键词： feature extraction image denoising image motion analysis statistical analysis video signal processing visual databases image motion analysis visual databases Video signal processing image denoising Feature extraction Videotapes Quality assessment statistical methods statistical analysis WEIGHTING FACTORS

来源：评论

学校读者我要写书评

暂无评论

Fake Colorized image Detection with Channel-wise Convolution based Deep-learning Framework 10

Fake Colorized Image Detection with Channel-wise Convolution...

引用

10th Asia-Pacific-Signal-and-Information-processing-Association Annual Summit and conference (APSIPA ASC)

作者： Zhuo, Long Tan, Shunquan Zeng, Jishen Li, Bin Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China Shenzhen Univ Coll Informat Engn Shenzhen Peoples R China Natl Engn Lab Big Data Syst Comp Technol Shenzhen Key Lab Media Secur Guangdong Key Lab Intelligent Informat Proc Shenzhen 518060 Peoples R China

ISBN: (纸本)9789881476852

Colorization is one remarkable emerging image manipulating technique, which maybe potentially used for illegal purpose. In this paper, we introduce WISERNet (Wider Separate-then-reunion Network), a recently proposed deep-learning based data-driven color image steganalyzer in the field of fake colorized image detection. We believe that statistical inconsistencies introduced by different automatic colorization methods can be captured by advanced deep-learning based data-driven color-image steganalyzers such as WISERNet. Experimental evidences reported in this paper supports our claims: the detection performance of our proposed detector obviously outperforms FCID-HIST and FCID-FE, two state-of-the-art hand-crafted features specific to fake colorized image detection. Please note that in our approach we have never explicitly utilized information from the specific channels other than the ordinary red, green, and blue color channel, which is completely different from prior works in this field.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

A spatiotemporal multiscale statistical matching (SMSM) model for human actions detection 10

A spatiotemporal multiscale statistical matching (SMSM) mode...

引用

10th International conference on Digital image processing (ICDIP)

作者： Han, Jing Zhu, Junwei Bai, Lianfa Yue, Jiang Nanjing Univ Sci & Technol Jiangsu Key Lab Spectral Imaging & Intelligent Se Nanjing 210094 Jiangsu Peoples R China

ISBN: (数字)9781510622005

ISBN: (纸本)9781510622005

Considering the noise, background interference and massive information, it is a challenging issue to recognize human actions from videos. We, in this paper, present a non-training spatiotemporal multiscale statistical matching (SMSM) model based on the dense computation of so-called spatiotemporal local adaptive regression kernel to identify non-compact human actions. Therefore, our model can avoid the overfitting problem caused by large sample training. First, we encode the local context similarity by exploiting Gaussian difference LARK (GLARK) features. This feature can well describe the shape and trend of the weak edge. Second, we propose multiscale composite template set in SMSM, whose robustness to the detection of variable human actions in different sizes. The proposed SMSM model can balance the relationship between GLARK structure of local small window and neighborhood structure of local large window. Moreover, our statistical process solves the problem of weak edge missed detection brought by background interference and promotes the multiscale matching efficiency. In our experiments, the proposed algorithm significantly outperforms existing matching methods and some supervised methods on the universally acknowledged challenging dataset.

关键词： Actions detection spatiotemporal multiscale regression kernel analysis statistical matching

来源：评论

学校读者我要写书评

暂无评论

An Accelerated Variational Framework for Face Expression Recognition

An Accelerated Variational Framework for Face Expression Rec...

引用

IEEE International Black Sea conference on Communications and Networking (BlackSeaCom)

作者： Fan, Wentao Bouguila, Nizar Huaqiao Univ Dept Comp Sci & Technol Xiamen Peoples R China Concordia Univ Concordia Inst Informat Syst Engn Montreal PQ Canada

ISBN: (纸本)9781538670910

In this paper we examine the problem of the modeling of positive vectors that are naturally generated by several signal and image processing applications. We consider a statistical framework based on a Dirichlet process mixture of inverted Dirichlet distributions like the one previously proposed in ill. The choice of inverted Dirichlet is motivated by its flexibility to model positive features. The proposed approach can be viewed as an infinite inverted Dirichlet mixture model. As compared to [l], the infinite framework is learned via an accelerated variational approach. The accelerated variational approach offers a good compromise between frequentist techniques and purely Bayesian inference and improves the simple variational approach used in ill. The merits of the proposed model are validated via a challenging application that involves face expression recognition.

关键词： Mixture models Acceleration Face recognition Face conferences Bayes methods image processing"

来源：评论

学校读者我要写书评

暂无评论

Rectangular Bounding Process 32

Rectangular Bounding Process

引用

32nd conference on Neural Information processing Systems (NIPS)

作者： Fan, Xuhui Li, Bin Sisson, Scott A. Univ New South Wales Sch Math & Stat Sydney NSW Australia Fudan Univ Sch Comp Sci Shanghai Peoples R China

stochastic partition models divide a multi-dimensional space into a number of rectangular regions, such that the data within each region exhibit certain types of homogeneity. Due to the nature of their partition strategy, existing partition models may create many unnecessary divisions in sparse regions when trying to describe data in dense regions. To avoid this problem we introduce a new parsimonious partition model - the Rectangular Bounding Process (RBP) - to efficiently partition multi-dimensional spaces, by employing a bounding strategy to enclose data points within rectangular bounding boxes. Unlike existing approaches, the RBP possesses several attractive theoretical properties that make it a powerful non-parametric partition prior on a hypercube. In particular, the RBP is self-consistent and as such can be directly extended from a finite hypercube to infinite (unbounded) space. We apply the RBP to regression trees and relational models as a flexible partition prior. The experimental results validate the merit of the RBP in rich yet parsimonious expressiveness compared to the state-of-the-art methods.

关键词： stochastic systems

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475页 << < 102 103 104 105 106 107 108 109 110 111 > >>

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：