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

8,430 篇 会议
38 篇 期刊文献
7 册 图书

馆藏范围

8,474 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

4,194 篇 工学
- 3,828 篇 计算机科学与技术...
- 2,067 篇 软件工程
- 1,218 篇 光学工程
- 530 篇 控制科学与工程
- 400 篇 信息与通信工程
- 282 篇 仪器科学与技术
- 262 篇 机械工程
- 233 篇 电气工程
- 155 篇 生物工程
- 144 篇 生物医学工程（可授...
- 110 篇 电子科学与技术（可...
- 57 篇 安全科学与工程
- 52 篇 建筑学
- 51 篇 化学工程与技术
- 48 篇 土木工程
- 43 篇 交通运输工程
- 39 篇 力学（可授工学、理...
1,991 篇 理学
- 1,352 篇 物理学
- 1,167 篇 数学
- 415 篇 统计学（可授理学、...
- 212 篇 生物学
- 49 篇 化学
- 34 篇 系统科学
222 篇 管理学
- 160 篇 图书情报与档案管...
- 66 篇 管理科学与工程(可...
- 36 篇 工商管理
202 篇 艺术学
- 202 篇 设计学（可授艺术学...
189 篇 医学
- 188 篇 临床医学
- 38 篇 基础医学(可授医学...
39 篇 法学
- 37 篇 社会学
21 篇 农学
11 篇 教育学
7 篇 经济学
6 篇 军事学

主题

3,322 篇 computer vision
1,174 篇 pattern recognit...
901 篇 cameras
873 篇 conferences
761 篇 computer science
660 篇 image segmentati...
624 篇 layout
573 篇 training
540 篇 shape
507 篇 robustness
451 篇 humans
423 篇 feature extracti...
422 篇 face recognition
402 篇 computational mo...
389 篇 object detection
345 篇 visualization
340 篇 computer archite...
335 篇 application soft...
291 篇 lighting
267 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 institute of com...
18 篇 swiss fed inst t...
17 篇 tsinghua univers...
17 篇 the robotics ins...
17 篇 carnegie mellon ...
17 篇 department of co...
16 篇 computer vision ...
16 篇 school of comput...
15 篇 institute of inf...
15 篇 school of comput...
14 篇 department of in...
14 篇 department of co...

作者

57 篇 timofte radu
25 篇 s.k. nayar
24 篇 van gool luc
24 篇 huang thomas s.
22 篇 nayar shree k.
22 篇 t. kanade
21 篇 jain anil k.
20 篇 t.s. huang
19 篇 luc van gool
18 篇 xiaoou tang
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 m. shah
15 篇 a. zisserman
15 篇 heung-yeung shum

语言

8,459 篇 英文
8 篇 其他
7 篇 中文
1 篇 土耳其文

检索条件"任意字段=1966 IEEE Computer Society Conference on Computer Vision and Pattern Recognition"

共 8475 条记录，以下是4701-4710 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：

Discriminative Patch Selection using Combinatorial and Statistical Models for Patch-Based Object recognition

Discriminative Patch Selection using Combinatorial and Stati...

引用

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

作者： A. Vashist Zhipeng Zhao A. Elgammal I. Muchnik C. Kulikowski Department of Computer Science State University of New Jersey Rutgers Piscataway NJ USA

In an object recognition task where an image is represented as a constellation of image patches, often many patches correspond to the cluttered background. If such patches are used for object class recognition, they will adversely affect the recognition rate. In this paper, we present a two stage method for selecting image patches which characterize the target object class and are capable of discriminating between the positive images containing the target objects and the complementary negative images. The first stage selection is done using a novel combinatorial optimization formulation on a weighted multipartite graph representing similarities between images patches across different instances of the target object. The following stage is a statistical method for selecting those images patches from the positive images which, when used individually, have the power of discriminating between the positive and negative images in the evaluation data. The individual methods have a performance competitive with the state of the art methods on a popular benchmark data set and their sequential combination consistently outperforms the individual methods and most of the other known methods while approaching the best known results.

关键词： Object recognition Solid modeling Feature extraction Object detection computer vision Image recognition Face detection pattern recognition computer science Statistical analysis

来源：评论

学校读者我要写书评

暂无评论

Robust AAM Fitting by Fusion of Images and Disparity Data

Robust AAM Fitting by Fusion of Images and Disparity Data

引用

conference on computer vision and pattern recognition (CVPR)

作者： J. Liebelt Jing Xiao Jie Yang Interactive Systems Laboratories Universitaet Karlsruhe Karlsruhe Germany Epson Palo Alto Laboratory Palo Alto CA USA School of Computer Science Carnegie Mellon University Pittsburgh PA USA

Active Appearance Models (AAMs) have been popularly used to represent the appearance and shape variations of human faces. Fitting an AAM to images recovers the face pose as well as its deformable shape and varying appearance. Successful fitting requires that the AAM is sufficiently generic such that it covers all possible facial appearances and shapes in the images. Such a generic AAM is often difficult to be obtained in practice, especially when the image quality is low or when occlusion occurs. To achieve robust AAM fitting under such circumstances, this paper proposes to incorporate the disparity data obtained from a stereo camera with the image fitting process. We develop an iterative multi-level algorithm that combines efficient AAM fitting to 2D images and robust 3D shape alignment to disparity data. Experiments on tracking faces in low-resolution images captured from meeting scenarios show that the proposed method achieves better performance than the original 2D AAM fitting algorithm. We also demonstrate an application of the proposed method to a facial expression recognition task.

关键词： Robustness Active appearance model Shape Humans Face Iterative algorithms pattern recognition Interactive systems Laboratories Drives

来源：评论

学校读者我要写书评

暂无评论

A Robust Video Object Tracking by Using Active Contours

A Robust Video Object Tracking by Using Active Contours

引用

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

作者： M.S. Allili D. Ziou Département d'informatique Faculté des Sciences Université de Sherbrook Sherbrooke QUE Canada

In this paper, we propose a novel object tracking algorithm in video sequences. The formulation of our tracking model is based on variational calculus, where region and boundary information cooperate for object boundary localization by using active contours. In the approach, only the segmentation of the objects in the first frame is required for initialization. The evolution of the object contours on a current frame aims to find the boundary of the objects by minimizing the Kullback-Leibler distance of the region features distribution in the vicinity of the contour to the objects versus the background respectively. We show the effectiveness of the approach on examples of object tracking performed on real video sequences.

关键词： Robustness Active contours Video sequences Level set computer vision Object detection Tracking Calculus Application software Video surveillance

来源：评论

学校读者我要写书评

暂无评论

Robust Visual Tracking Using Case-Based Reasoning with Confidence

Robust Visual Tracking Using Case-Based Reasoning with Confi...

引用

conference on computer vision and pattern recognition (CVPR)

作者： Zhiwei Zhu Wenhui Liao Qiang Ji Department of ECSE Rensselaer Polytechnic Institute Troy NY USA Sarnoff Corporation USA

The paper describes a simple but robust framework for visual object tracking in a video sequence. Compared with the existing tracking techniques, our proposed tracking technique has two significant contributions. First, a Case- Based Reasoning (CBR) paradigm is introduced to track the non-rigid object robustly under significant appearance changes without drifting away. Second, it can provide an accurate confidence measurement for each tracked object so that the tracking failures can be identified successfully. Specifically, under this framework, the appearance changes of the object being tracked can be adapted dynamically during tracking via an adaption mechanism of CBR. Hence, an accurate 2D tracking model can be maintained online for each image frame during tracking. Therefore, the proposed tracking technique possesses a self-recovery capability so that the object can be tracked robustly under significant appearance changes without error accumulation. Application was focused on the development of a real-time face tracking system. Via the proposed framework, the built real-time face tracker can track the human face robustly at 26 frames per second under various face orientations, significant facial expression and external illumination changes.

关键词： Robustness Video sequences Face Cameras Geometry Real time systems Humans Lighting computer society computer vision

来源：评论

学校读者我要写书评

暂无评论

Boundary Extraction in Natural Images Using Ultrametric Contour Maps

Boundary Extraction in Natural Images Using Ultrametric Cont...

引用

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

作者： P. Arbelaez CEREMADE UMR CNRS 7534 Université Paris Dauphine Paris France

This paper presents a low-level system for boundary extraction and segmentation of natural images and the evaluation of its performance. We study the problem in the framework of hierarchical classification, where the geometric structure of an image can be represented by an ultrametric contour map, the soft boundary image associated to a family of nested segmentations. We define generic ultrametric distances by integrating local contour cues along the regions boundaries and combining this information with region attributes. Then, we evaluate quantitatively our results with respect to ground-truth segmentation data, proving that our system outperforms significantly two widely used hierarchical segmentation techniques, as well as the state of the art in local edge detection.

关键词： Image segmentation Humans Image edge detection computer vision Object recognition Layout Classification tree analysis Visual perception Data mining Geometry

来源：评论

学校读者我要写书评

暂无评论

Generalized Multiclass AdaBoost and Its Applications to Multimedia Classification

Generalized Multiclass AdaBoost and Its Applications to Mult...

引用

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

作者： Wei Hao Jiebo Luo Kodak Research Laboratories Eastman Kodak (Japan) Limited USA

AdaBoost has received considerable attention in the vision and multimedia research community in recent years. It is originally designed for two-class classification problems. To handle multiple classes, many AdaBoost extensions have been developed primarily based on various schemes for reducing multiclass classification to multiple two-class problems. From a statistical prospective, AdaBoost can be viewed as a forward stepwise additive model using an exponential loss function. In this paper, we derive a generalized form of AdaBoost for multiclass classification based on a multiclass exponential loss function. To prove its effectiveness, we benchmarked a number of multimedia problems of different nature. Experimental results show that the new boosting algorithm outperforms other multiclass alternatives. In addition, the generalized boosting algorithm can be used to either boost a multiclass classifier, or build a multiclass classifier from a binary one.

关键词： Boosting Classification algorithms Machine learning algorithms Machine learning Layout Training data computer vision pattern recognition conferences Testing

来源：评论

学校读者我要写书评

暂无评论

Rank-one Projections with Adaptive Margins for Face recognition

Rank-one Projections with Adaptive Margins for Face Recognit...

引用

conference on computer vision and pattern recognition (CVPR)

作者： Dong Xu S. Lin Shuicheng Yan Xiaoou Tang Department of Electrical Engineering Columbia University USA MOE-Microsoft Key Laboratory of Multimedia Computing and Communication & Department of EEIS University of Science and Technology Hefei Anhui China Microsoft Research Asia Beijing China Department of Information Engineering Chinese University of Hong Kong Hong Kong China Beckman Institute University of Illinois Urbana-Champaign Champaign USA

In supervised dimensionality reduction, tensor representations of images have recently been employed to enhance classification of high-dimensional data with small training sets. To handle tensor data, this approach has been formulated with tight restrictions on projection directions that, along with convergence issues and the assumption of Gaussian distributed class data, limits its face recognition performance. To overcome these problems, we propose a method of rank-one projections with adaptive margins (RPAM) that gives a provably convergent solution for tensor data over a more general class of projections, while accounting for margins between samples of different classes. In contrast to previous margin based works which determine margin sample pairs within the original high dimensional space, RPAM instead aims to maximize the margins defined in the expected lower dimensional feature subspace by progressive margin refinement after each rank-one projection. In addition to handling tensor data, vector-based variants of RPAM are presented for linear mappings and for nonlinear mappings using kernel tricks. Comprehensive experimental results demonstrate that RPAM brings significant improvement in face recognition over previous subspace learning techniques.

关键词： Face recognition Tensile stress Linear discriminant analysis Asia computer vision pattern recognition Scattering Laboratories Multimedia computing Data engineering

来源：评论

学校读者我要写书评

暂无评论

ImprovingWeb-based Image Search via Content Based Clustering

ImprovingWeb-based Image Search via Content Based Clustering

引用

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

作者： N. Ben-Haim B. Babenko S. Belongie Department of Computer Science and Engineering University of California San Diego USA

Current image search engines on the web rely purely on the keywords around the images and the filenames, which produces a lot of garbage in the search results. Alternatively, there exist methods for content based image retrieval that require a user to submit a query image, and return images that are similar in content. We propose a novel approach named ReSPEC (Re-ranking Sets of Pictures by Exploiting Consistency), that is a hybrid of the two methods. Our algorithm first retrieves the results of a keyword query from an existing image search engine, clusters the results based on extracted image features, and returns the cluster that is inferred to be the most relevant to the search query. Furthermore, it ranks the remaining results in order of relevance.

关键词： Search engines Image retrieval Clustering algorithms Content based retrieval Feature extraction Object recognition computer science Joining processes Region 2 Humans

来源：评论

学校读者我要写书评

暂无评论

A Simple Bayesian Framework for Content-Based Image Retrieval

A Simple Bayesian Framework for Content-Based Image Retrieva...

引用

conference on computer vision and pattern recognition (CVPR)

作者： K.A. Heller Z. Ghahramani Gatsby Computational Neuroscience Unit University College London UK Machine Learning Department Carnegie Mellon University Pittsburgh PA USA Department of Engineering University of Cambridge UK

We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified text query (e.g. "penguins") the system first extracts a set of images, from a labelled corpus, corresponding to that query. The distribution over features of these images is used to compute a Bayesian score for each image in a large unlabelled corpus. Unlabelled images are then ranked using this score and the top images are returned. Although the Bayesian score is based on computing marginal likelihoods, which integrate over model parameters, in the case of sparse binary data the score reduces to a single matrix-vector multiplication and is therefore extremely efficient to compute. We show that our method works surprisingly well despite its simplicity and the fact that no relevance feedback is used. We compare different choices of features, and evaluate our results using human subjects.

关键词： Bayesian methods Image retrieval Content based retrieval Distributed computing Sparse matrices Image databases Histograms Gabor filters computer vision Educational institutions

来源：评论

学校读者我要写书评

暂无评论

Audio-Visual Foreground Extraction for Event Characterization

Audio-Visual Foreground Extraction for Event Characterizatio...

引用

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

作者： M. Cristani M. Bicego V. Murino Dipartimento di Informatica University of Verona Verona Italy DEIR University of Sassari Sassari Italy

This paper presents a new method able to integrate audio and visual information for scene analysis in a typical surveillance scenario, using only one camera and one monaural microphone. Visual information is analyzed by a standard visual background/foreground (BG/FG) modelling module, enhanced with a novelty detection stage, and coupled with an audio BG/FG modelling scheme. The audiovisual association is performed on-line, by exploiting the concept of synchrony. Experimental tests carrying out classification and clustering of events show all the potentialities of the proposed approach, also in comparison with the results obtained by using the single modalities.

关键词： Layout Surveillance Information analysis Event detection Data mining Humans pattern recognition Object detection Image analysis Cameras

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 << < 467 468 469 470 471 472 473 474 475 476 > >>

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：