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

8,902 篇 会议
43 篇 期刊文献
18 册 图书

馆藏范围

8,962 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

4,560 篇 工学
- 4,020 篇 计算机科学与技术...
- 2,178 篇 软件工程
- 1,241 篇 光学工程
- 555 篇 控制科学与工程
- 431 篇 信息与通信工程
- 430 篇 机械工程
- 294 篇 电气工程
- 287 篇 仪器科学与技术
- 179 篇 生物工程
- 159 篇 生物医学工程（可授...
- 119 篇 电子科学与技术（可...
- 61 篇 安全科学与工程
- 58 篇 建筑学
- 58 篇 化学工程与技术
- 52 篇 土木工程
- 49 篇 交通运输工程
- 40 篇 力学（可授工学、理...
2,065 篇 理学
- 1,382 篇 物理学
- 1,198 篇 数学
- 420 篇 统计学（可授理学、...
- 238 篇 生物学
- 54 篇 化学
- 36 篇 系统科学
263 篇 管理学
- 180 篇 图书情报与档案管...
- 89 篇 管理科学与工程(可...
- 47 篇 工商管理
223 篇 医学
- 222 篇 临床医学
- 39 篇 基础医学(可授医学...
205 篇 艺术学
- 205 篇 设计学（可授艺术学...
45 篇 法学
- 43 篇 社会学
21 篇 农学
14 篇 教育学
9 篇 经济学
6 篇 军事学

主题

3,413 篇 computer vision
1,216 篇 pattern recognit...
946 篇 cameras
908 篇 conferences
765 篇 computer science
674 篇 image segmentati...
618 篇 layout
598 篇 training
548 篇 shape
518 篇 robustness
451 篇 feature extracti...
448 篇 humans
445 篇 face recognition
405 篇 computational mo...
402 篇 object detection
365 篇 visualization
356 篇 computer archite...
336 篇 application soft...
304 篇 lighting
258 篇 image reconstruc...

机构

41 篇 microsoft resear...
30 篇 department of co...
25 篇 department of co...
23 篇 institute for co...
22 篇 department of co...
22 篇 school of comput...
20 篇 university of sc...
20 篇 swiss fed inst t...
19 篇 tsinghua univers...
19 篇 institute of com...
18 篇 swiss fed inst t...
17 篇 the robotics ins...
17 篇 carnegie mellon ...
17 篇 computer vision ...
17 篇 department of co...
16 篇 institute of inf...
16 篇 school of comput...
15 篇 school of comput...
15 篇 carnegie mellon ...
14 篇 national laborat...

作者

57 篇 timofte radu
25 篇 huang thomas s.
24 篇 van gool luc
23 篇 s.k. nayar
22 篇 nayar shree k.
22 篇 t. kanade
21 篇 jain anil k.
20 篇 luc van gool
19 篇 t.s. huang
18 篇 xiaoou tang
18 篇 murino vittorio
18 篇 horst bischof
17 篇 a.k. jain
17 篇 t. darrell
16 篇 g. healey
16 篇 bowyer kevin w.
16 篇 bischof horst
15 篇 m.j. black
15 篇 li stan z.
15 篇 m. shah

语言

8,932 篇 英文
22 篇 其他
8 篇 中文
1 篇 土耳其文

检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"

共 8963 条记录，以下是4281-4290 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：

A novel robust kernel for applications to images

A novel robust kernel for applications to images

引用

2009 ieee International conference on Acoustics, Speech, and Signal Processing, ICASSP 2009

作者： Liao, Chia-Te Lai, Shang-Hong Department of Computer Science National Tsing Hua University Hsinchu Taiwan

ISBN: (纸本)9781424423545

Robustness is an essential issue to computer vision and pattern recognition in developing multimedia applications. In this work, we present a robust kernel approach that is highly robust against random noises and intra-class deformations. By incorporating the robust error function used in robust statistics together with a deformation-invariant distance measure, the derived robust kernel is shown to be insensitive to the influence of outliers and robust to intra-class deformations. In the experiments, we justify our robust kernel with different kernel machines with applications to handwritten digit recognition and data visualization on the USPS database. ©2009 ieee.

关键词： Deformation

来源：评论

学校读者我要写书评

暂无评论

Square Loss based regularized LDA for face recognition using image sets

Square Loss based regularized LDA for face recognition using...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Yanlin Geng Caifeng Shan Pengwei Hao Center for Information Science Peking University Beijing China Philips Research Eindhoven Netherlands Department Computer Science Queen Mary University of London London UK

In this paper, we focus on face recognition over image sets, where each set is represented by a linear subspace. Linear Discriminant Analysis (LDA) is adopted for discriminative learning. After investigating the relation between regularization on Fisher Criterion and Maximum Margin Criterion, we present a unified framework for regularized LDA. With the framework, the ratio-form maximization of regularized Fisher LDA can be reduced to the difference-form optimization with an additional constraint. By incorporating the empirical loss as the regularization term, we introduce a generalized Square Loss based Regularized LDA (SLR-LDA) with suggestion on parameter setting. Our approach achieves superior performance to the state-of-the-art methods on face recognition. Its effectiveness is also evidently verified in general object and object category recognition experiments.

关键词： Linear discriminant analysis Face recognition Image analysis Constraint optimization Image recognition Information science computer science computer vision Kernel Vectors

来源：评论

学校读者我要写书评

暂无评论

Appearance Learning by Adaptive Kalman Filters for FLIR Tracking

Appearance Learning by Adaptive Kalman Filters for FLIR Trac...

引用

ieee computer society conference on computer vision and pattern recognition workshops

作者： Vijay Venkataraman Guoliang Fan Xin Fan Joseph P. Havlicek School of Electrical & Computer Engineering Oklahoma State University School of Electrical & Computer Engineering OklahomaState University School of Electrical & Computer Engineering University of Oklahoma

ISBN: (纸本)9781424439942

This paper addresses the challenging issue of target tracking and appearance learning in Forward Looking Infrared (FLIR) sequences. Tracking and appearance learning are formulated as a joint state estimation problem with two parallel inference processes. Specifically, a new adaptive Kalman filter is proposed to learn histogram-based target appearances. A particle filter is used to estimate the target position and size, where the learned appearance plays an important role. Our appearance learning algorithm is compared against two existing methods and experiments on the AMCOM FLIR dataset validate its effectiveness.

关键词： Target tracking State estimation Particle filters Inference algorithms

来源：评论

学校读者我要写书评

暂无评论

Estimating object region from local contour configuration

Estimating object region from local contour configuration

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Tetsuaki Suzuki Martial Hebert NEC Corporation Limited Kawasaki Kanagawa Japan Carnegie Mellon University Pittsburgh PA USA

In this paper, we explore ways to combine boundary information and region segmentation to estimate regions corresponding to foreground objects. Boundary information is used to generate an object likelihood image which encodes the likelihood that each pixel belongs to a foreground object. This is done by combining evidence gathered from a large number of boundary fragments on training images by exploiting the relation between local boundary shape and relative location of the corresponding object region in the image. A region segmentation is used to generate a likely segmentation that is consistent with the boundary fragments out of a set of multiple segmentations. A mutual information criterion is used for selecting a segmentation from a set of multiple segmentations. Object likelihood and region segmentation are combined to yield the final proposed object region(s).

关键词： Image segmentation Detectors Mutual information Object detection Shape Histograms Pixel computer vision Image generation National electric code

来源：评论

学校读者我要写书评

暂无评论

Content and context-based multi-label image annotation

Content and context-based multi-label image annotation

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Hong Lu Yingbin Zheng Xiangyang Xue Yuejie Zhang Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai China

In this paper, we propose a multi-label image annotation framework by incorporating the content and context information of images. Specifically, images are annotated on regional scale. This annotation is independent of the sizes of blocks. Confidences of content based block and image annotation are then obtained. On the other hand, spatial features by combining the block annotation confidence and the spatial context are proposed for main concepts, corresponding to the concepts been annotated, and the auxiliary concepts, corresponding to the concepts that have high co-occurrence with the main concepts in the images. This proposed spatial feature can incorporate the position of the concept and the spatial context between these concepts. Experiments on expanded Corel dataset categories demonstrate the effectiveness of the proposed method.

关键词： Image segmentation Labeling Image retrieval Context modeling Data mining Layout Testing Laboratories Information processing computer science

来源：评论

学校读者我要写书评

暂无评论

A Smart Sensor with Hyper spectral/Range Fovea and Panoramic Peripheral View

A Smart Sensor with Hyper spectral/Range Fovea and Panoramic...

引用

ieee computer society conference on computer vision and pattern recognition workshops

作者： Tao Wang Zhigang Zhu Harvey Rhody Department of Computer Science Department of Computer Science The CUNY Graduate Center Center for Imaging Science Rochester Institute of Technology

ISBN: (纸本)9781424439942

We propose an adaptive and effective multimodal peripheral-fovea sensor design for real-time targets tracking. This design is inspired by the biological vision systems for achieving real-time target detection and recognition with a hyperspectral/range fovea and panoramic peripheral view. A realistic scene simulation approach is used to evaluate our sensor design and the related data exploitation algorithms before a real sensor is made. The goal is to reduce development time and system cost while achieving optimal results through an iterative process that incorporates simulation, sensing, processing and evaluation. Important issues such as multimodal sensory component integration, region of interest extraction, target tracking, hyperspectral image analysis and target signature identification are discussed.

关键词： Hyperspectral imaging Panoramic vision bio-inspired sensing Target tracking

来源：评论

学校读者我要写书评

暂无评论

A bottom-up and top-down optimization framework for learning a compositional hierarchy of object classes

A bottom-up and top-down optimization framework for learning...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Sanja Fidler Marko Boben Ales Leonardis Faculty of Computer and Information Science University of Ljubljana Slovenia

Summary form only given. Learning hierarchical representations of object structure in a bottom-up manner faces several difficult issues. First, we are dealing with a very large number of potential feature aggregations. Furthermore, the set of features the algorithm learns at each layer directly influences the expressiveness of the compositional layers that work on top of them. However, we cannot ensure the usefulness of a particular local feature for object class representation based solely on the local statistics. This can only be done when more global, object-wise information is taken into account. We build on the hierarchical compositional approach (Fidler and Leonardis, 2007) that learns a hierarchy of contour compositions of increasing complexity and specificity. Each composition models spatial relations between its constituent parts.

关键词： Stochastic processes Information science Statistics Vocabulary Feedback Inference algorithms Object detection

来源：评论

学校读者我要写书评

暂无评论

Towards Unlocking Web Video: Automatic People Tracking and Clustering

Towards Unlocking Web Video: Automatic People Tracking and C...

引用

ieee computer society conference on computer vision and pattern recognition workshops

作者： Alex Holub Pierre Moreels Atiq Islam Andrei Makhanov Rui Yang Ooyala Inc CA

ISBN: (纸本)9781424439942

This paper describes a system for automatically extracting meta-information on people from videos on the web. The system contains multiple modules which automatically track people, including both faces and bodies, and clusters the people into distinct groups. We present new technology and significantly modify existing algorithms for body-detection, shot-detection and grouping, tracking, and track-clustering within our system. The system was designed to work effectivity on web content, and thus exhibits robust tracking and clustering behavior over a broad spectrum of professional and semi-professional video content. In order to quantify and evaluate our system we created a large ground-truth data-set of people within video. Finally, we provide actual video examples of our algorithm and find that the results are quite strong over a broad range of content.

关键词： Face detection computer vision Clustering algorithms Solids Image recognition Robustness Application software Information filtering Information filters Object recognition

来源：评论

学校读者我要写书评

暂无评论

SUSurE: Speeded Up Surround Extrema Feature Detector and Descriptor for Real-time Applications

SUSurE: Speeded Up Surround Extrema Feature Detector and Des...

引用

ieee computer society conference on computer vision and pattern recognition workshops

作者： Mosalam Ebrahimi Walterio W. Mayol-Cuevas Department of Computer Science University of Bristol Bristol United Kingdom

ISBN: (纸本)9781424439942

There has been significant research into the development of visual feature detectors and descriptors that are robust to a number of image deformations. Some of these methods have emphasized the need to improve on computational speed and compact representations so that they can enable a range of real-time applications with reduced computational requirements. In this paper we present modified detectors and descriptors based on the recently introduced CenSurE [l], and show experimental results that aim to highlight the computational savings that can be made with limited reduction in performance. The developed methods are based on exploiting the concept of sparse sampling which may be of interest to a range of other existing approaches.

关键词： computer vision Detectors Filters Robustness Information services Web sites Internet Application software Kernel Image databases

来源：评论

学校读者我要写书评

暂无评论

Identifying sensors from fingerprint images

Identifying sensors from fingerprint images

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Nick Bartlow Nathan Kalka Bojan Cukic Arun Ross West Virginia University Morgantown WV USA

In this paper we study the application of hardware fingerprinting based on PRNU noise analysis of biometric fingerprint devices for sensor identification. For each fingerprint sensor, a noise reference pattern is generated and subsequently correlated with noise residuals extracted from test images. We experiment on three different databases including a total of 20 fingerprint sensors. Our results indicate that fingerprint sensor identification at unit level is attainable with promising prospects. Our analysis indicates that in many cases identification can be performed even when one only has access to a limited number of samples. For two of the three databases one can train on less than 8 images per device and establish sensor identification with little or no misclassification error. On the third database, high levels of identification performance can be achieved when training on similar amounts of images required for other types of sensor identification such as cameras or scanners.

关键词： Image sensors Fingerprint recognition Image matching Biosensors Image databases Noise generators Hardware Biometrics Test pattern generators Testing

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500页 << < 425 426 427 428 429 430 431 432 433 434 > >>

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：