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

676 篇 会议
142 篇 期刊文献
130 册 图书
8 篇 学位论文

馆藏范围

956 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

632 篇 工学
- 463 篇 计算机科学与技术...
- 210 篇 软件工程
- 139 篇 电气工程
- 126 篇 机械工程
- 114 篇 光学工程
- 71 篇 控制科学与工程
- 48 篇 仪器科学与技术
- 40 篇 信息与通信工程
- 19 篇 电子科学与技术（可...
- 15 篇 生物医学工程（可授...
- 14 篇 生物工程
- 12 篇 材料科学与工程（可...
- 10 篇 测绘科学与技术
- 8 篇 化学工程与技术
- 8 篇 航空宇航科学与技...
- 7 篇 土木工程
- 7 篇 安全科学与工程
- 6 篇 建筑学
- 6 篇 交通运输工程
272 篇 理学
- 205 篇 物理学
- 89 篇 数学
- 27 篇 统计学（可授理学、...
- 15 篇 生物学
- 10 篇 系统科学
62 篇 医学
- 60 篇 临床医学
42 篇 管理学
- 24 篇 图书情报与档案管...
- 19 篇 管理科学与工程(可...
37 篇 艺术学
- 37 篇 设计学（可授艺术学...
9 篇 法学
- 9 篇 社会学
7 篇 农学
- 7 篇 作物学
2 篇 教育学

主题

260 篇 computer vision
233 篇 pattern recognit...
79 篇 artificial intel...
74 篇 image processing...
61 篇 feature extracti...
49 篇 computer imaging...
44 篇 image segmentati...
43 篇 images
42 篇 face recognition
41 篇 information syst...
39 篇 visualization
35 篇 computer graphic...
35 篇 algorithm analys...
33 篇 cameras
31 篇 training
28 篇 conferences
28 篇 image color anal...
28 篇 user interfaces ...
26 篇 histograms
24 篇 databases

机构

20 篇 national laborat...
14 篇 computer vision ...
9 篇 huazhong univ sc...
9 篇 institute for pa...
8 篇 computer vision ...
6 篇 chinese acad sci...
6 篇 department of st...
4 篇 shenzhen key lab...
4 篇 department of in...
4 篇 huazhong univ sc...
4 篇 microsoft resear...
4 篇 huazhong univ sc...
4 篇 national laborat...
4 篇 chinese acad sci...
4 篇 college of compu...
4 篇 computer and vis...
3 篇 the ohio state u...
3 篇 queen’s universi...
3 篇 multimedia engin...
3 篇 institute of pat...

作者

11 篇 sang nong
10 篇 umapada pal
10 篇 tian jinwen
8 篇 cao zhiguo
7 篇 bischof horst
7 篇 huang kaiqi
6 篇 li dehua
6 篇 tieniu tan
6 篇 tan tieniu
5 篇 j. k. aggarwal
5 篇 kaiqi huang
5 篇 zhang tianxu
5 篇 horst bischof
5 篇 alireza alaei
5 篇 aggarwal j.k.
4 篇 gabor fichtinger
4 篇 gian luca forest...
4 篇 cai chao
4 篇 sebastian bauer
4 篇 huang yongzhen

语言

908 篇 英文
34 篇 中文
13 篇 其他
1 篇 法文

检索条件"任意字段=MIPPR 2011: Pattern Recognition and Computer Vision"

共 956 条记录，以下是551-560 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：

Deciphering the face

Deciphering the face

引用

IEEE computer Society Conference on computer vision and pattern recognition Workshops (CVPRW)

作者： Aleix M. Martinez Ohio State Uinversity USA

We argue that to make robust computer vision algorithms for face analysis and recognition, these should be based on configural and shape features. In this model, the most important task to be solved by computer vision researchers is that of accurate detection of facial features, rather than recognition. We base our arguments on recent results in cognitive science and neuroscience. In particular, we show that different facial expressions of emotion have diverse uses in human behavior/cognition and that a facial expression may be associated to multiple emotional categories. These two results are in contradiction with the continuous models in cognitive science, the limbic assumption in neuroscience and the multidimensional approaches typically employed in computer vision. Thus, we propose an alternative hybrid continuous-categorical approach to the perception of facial expressions and show that configural and shape features are most important for the recognition of emotional constructs by humans. We illustrate how these image cues can be successfully exploited by computer vision algorithms. Throughout the paper, we discuss the implications of these results in applications in face recognition and human-computer interaction.

关键词： Face Humans Computational modeling Shape computer vision Face recognition Emotion recognition

来源：评论

学校读者我要写书评

暂无评论

Improving Classifiers with Unlabeled Weakly-Related Videos

Improving Classifiers with Unlabeled Weakly-Related Videos

引用

IEEE Conference on computer vision and pattern recognition

作者： Christian Leistner Martin Godec Samuel Schulter Amir Saffari Manuel Werlberger Horst Bischof Computer Vision Laboratory ETH Zurich Institute for Computer Graphics and Vision TU Graz Oxford Brookes University and Sony Computer Entertainment

ISBN: (纸本)9781457703942

Current state-of-the-art object classification systems are trained using large amounts of hand-labeled images. In this paper, we present an approach that shows how to use unlabeled video sequences, comprising weakly-related object categories towards the target class, to learn better classifiers for tracking and detection. The underlying idea is to exploit the space-time consistency of moving objects to learn classifiers that are robust to local transformations. In particular, we use dense optical flow to find moving objects in videos in order to train part-based random forests that are insensitive to natural transformations. Our method, which is called Video Forests, can be used in two settings: first, labeled training data can be regularized to force the trained classifier to generalize better towards small local transformations. Second, as part of a tracking-by-detection approach, it can be used to train a general codebook solely on pair-wise data that can then be applied to tracking of instances of a priori unknown object categories. In the experimental part, we show on benchmark datasets for both tracking and detection that incorporating unlabeled videos into the learning of visual classifiers leads to improved results.

关键词： Videos Target tracking Vegetation Training Optical imaging computer vision

来源：评论

学校读者我要写书评

暂无评论

Novelty Detection from an Ego-Centric Perspective

Novelty Detection from an Ego-Centric Perspective

引用

IEEE Conference on computer vision and pattern recognition

作者： Omid Aghazadeh Josephine Sullivan Stefan Carlsson Computer Vision and Active Perception Laboratory KTH

ISBN: (纸本)9781457703942

This paper demonstrates a system for the automatic extraction of novelty in images captured from a small video camera attached to a subject's chest, replicating his visual perspective, while performing activities which are repeated daily. Novelty is detected when a (sub)sequence cannot be registered to previously stored sequences captured while performing the same daily activity. Sequence registration is performed by measuring appearance and geometric similarity of individual frames and exploiting the invariant temporal order of the activity. Experimental results demonstrate that this is a robust way to detect novelties induced by variations in the wearer's ego-motion such as stopping and talking to a person. This is an essentially new and generic way of automatically extracting information of interest to the camera wearer and can be used as input to a system for life logging or memory support.

关键词： Novelty automatic extracting Video cameras visual perspective geometric similarity Speaking optical coherence tomography angiography device system parameter Persons stopping Perspective

来源：评论

学校读者我要写书评

暂无评论

Efficient Groupwise Non-rigid Registration of Textured Surfaces

Efficient Groupwise Non-rigid Registration of Textured Surfa...

引用

IEEE Conference on computer vision and pattern recognition

作者： Kirill A. Sidorov Stephen Richmond David Marshall School of Computer Science Cardiff University School of Dentistry Cardiff University

ISBN: (纸本)9781457703942

Advances in 3D imaging have recently made 3D surface scanners, capable of capturing textured surfaces at video rate, affordable and common in computer vision. This is a relatively new source of data, the potential of which has not yet been fully exploited as the problem of non-rigid registration of surfaces is difficult. While registration based on shape alone has been an active research area for some time, the problem of registering surfaces based on texture information has not been addressed in a principled way. We propose a novel, efficient and reliable, fully automatic method for performing groupwise non-rigid registration of textured surfaces, such as those obtained with 3D scanners. We demonstrate the robustness of our approach on 3D scans of human faces, including the notoriously difficult case of inter-subject registration. We show how our method can be used to build high-quality 3D models of appearance fully automatically.

关键词： Data sources Registration surface texture three-dimensional surface Scanner images computer vision Three Dimensions

来源：评论

学校读者我要写书评

暂无评论

Connecting Non-Quadratic Variational Models and MRFs

Connecting Non-Quadratic Variational Models and MRFs

引用

IEEE Conference on computer vision and pattern recognition

作者： Kevin Schelten Stefan Roth Department of Computer Science TU Darmstadt

ISBN: (纸本)9781457703942

Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, optical flow, and stereo. Even though both families of approaches are fairly similar on an intuitive level, they are frequently seen as being technically rather distinct since they operate on different domains. In this paper we explore their connections and develop a direct, rigorous link with a particular emphasis on first-order regularizers. By representing spatially-continuous functions as linear combinations of finite elements with local support and performing explicit integration of the variational objective, we derive MRF potentials that make the resulting MRF energy equivalent to the variational energy functional. In contrast to previous attempts, we provide an explicit connection for modern non-quadratic regularizers and also integrate the data term. The established connection opens certain classes of MRFs to spatially-continuous interpretations and variational formulations to a broad range of probabilistic learning and inference algorithms.

关键词： MYRF gene Connections low-level vision Inference algorithms Local support FINITE ELEMENT Explicit Markov random fields image restoration technique family

来源：评论

学校读者我要写书评

暂无评论

Fast Cost-Volume Filtering for Visual Correspondence and Beyond

Fast Cost-Volume Filtering for Visual Correspondence and Bey...

引用

IEEE Conference on computer vision and pattern recognition

作者： Christoph Rhemann Asmaa Hosni Michael Bleyer Carsten Rother Margrit Gelautz Vienna University of Technology Microsoft Research Cambridge

ISBN: (纸本)9781457703942

Many computer vision tasks can be formulated as labeling problems. The desired solution is often a spatially smooth labeling where label transitions are aligned with color edges of the input image. We show that such solutions can be efficiently achieved by smoothing the label costs with a very fast edge preserving filter. In this paper we propose a generic and simple framework comprising three steps: (i) constructing a cost volume (ii) fast cost volume filtering and (iii) winner-take-all label selection. Our main contribution is to show that with such a simple framework state-of-the-art results can be achieved for several computer vision applications. In particular, we achieve (i) disparity maps in real-time, whose quality exceeds those of all other fast (local) approaches on the Middlebury stereo benchmark, and (ii) optical flow fields with very fine structures as well as large displacements. To demonstrate robustness, the few parameters of our framework are set to nearly identical values for both applications. Also, competitive results for interactive image segmentation are presented. With this work, we hope to inspire other researchers to leverage this framework to other application areas.

关键词： images computer vision image segmentation Frameworks Fasting program area Filtration Solutions

来源：评论

学校读者我要写书评

暂无评论

12th INNS EANN-SIG International Conference on Engineering Applications of Neural Networks, EANN 2011 and 7th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2011

引用

12th INNS EANN-SIG International Conference, EANN2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011

ISBN: (纸本)9783642239564

The proceedings contain 57 papers. The special focus in this conference is on computer vision, Robotics, Self Organizing Maps, pattern recognition and Management Applications of AI. The topics include: ART-based fusion of multi-modal information for mobile robots;vision-based autonomous navigation using supervised learning techniques;SOM-based clustering and optimization of production;hypercube neural network algorithm for classification;improving the classification performance of liquid state machines based on the separation property;induction of linear separability through the ranked layers of binary classifiers;subspace-based face recognition on an FPGA;neural network rule extraction to detect credit card fraud;a neuro-fuzzy hybridization approach to model weather operations in a virtual warfare analysis system;employing smart logic to spot audio in real time on deeply embedded systems;support vector machines versus artificial neural networks for wood dielectric loss factor estimation;time-frequency analysis of hot rolling using manifold learning;transferring models in hybrid reinforcement learning agents;anomaly detection from network logs using diffusion maps;a mixed method to adapt and improve their learning by neural networks used in regression contexts;evolutionary algorithm optimization of edge delivery sites in next generation multi-service content distribution networks;object segmentation using multiple neural networks for commercial offers visual search and an ensemble based approach for feature selection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Automatic object segmentation from large scale 3D urban point clouds through manifold embedded mode seeking 11

Automatic object segmentation from large scale 3D urban poin...

引用

19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11

作者： Yu, Zhiding Xu, Chunjing Liu, Jianzhuang Au, Oscar C. Tang, Xiaoou Shenzhen Key Laboratory for Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Department of Information Engineering Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9781450306164

This paper presents a system that can automatically segment objects in large scale 3D point clouds obtained from urban ranging images. The system consists of three steps: The first one involves a ground detection process that can detect relatively complex terrain and separate it from other objects. The second step superpixelizes the remaining objects to speed up the segmentation process. In the final step, a manifold embedded mode seeking method is adopted to segment the point clouds. Even though the segmentation of urban objects is a challenging problem in terms of accuracy and problem scale, our system can efficiently generate very good segmentation results. The proposed manifold learning effectively improves the segmentation performance due to the fact that continuous artificial objects often have manifold-like structures. Copyright 2011 ACM.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Max-margin Clustering: Detecting Margins from Projections of Points on Lines

Max-margin Clustering: Detecting Margins from Projections of...

引用

IEEE Conference on computer vision and pattern recognition

作者： Raghuraman Gopalan Jagan Sankaranarayanan Center for Automation Research University of Maryland NEC Labs

ISBN: (纸本)9781457703942

Given a unlabelled set of points X ∈ R~N belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We address this problem by exploiting sparsity in data points inherent to margin regions, which a max-margin classifier would produce under a supervised setting to separate points belonging to different groups. By analyzing the projections of X on the set of all possible lines L in R~N, we first establish some basic results that are satisfied only by those line intervals lying outside a cluster, under assumptions of linear separability of clusters and absence of outliers. We then encode these results into a pair-wise similarity measure to determine cluster assignments, where we accommodate non-linearly separable clusters using the kernel trick. We validate our method on several UCI datasets and on some computer vision problems, and empirically show its robustness to outliers, and in cases where the exact number of clusters is not available. The proposed approach offers an improvement in clustering accuracy of about 6% on the average, and up to 15% when compared with several existing methods.

关键词： outliers PROJECTION Clusters images computer vision lines lines Tumor margin status

来源：评论

学校读者我要写书评

暂无评论

Engineering Applications of Neural Networks 2011

引用

丛书名： IFIP Advances in Information and Communication Technology

2011年

作者： Lazaros S. Iliadis Chrisina Jayne

ISBN: (数字)9783642239571

ISBN: (纸本)9783642239564

The two-volume set IFIP AICT 363 and 364 constitutes the refereed proceedings of the 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011, held jointly in Corfu, Greece, in September 2011. The 52 revised full papers and 28 revised short papers presented together with 31 workshop papers were carefully reviewed and selected from 150 submissions. The first volume includes the papers that were accepted for presentation at the EANN 2011 conference. They are organized in topical sections on computer vision and robotics, self organizing maps, classification/pattern recognition, financial and management applications of AI, fuzzy systems, support vector machines, learning and novel algorithms, reinforcement and radial basis function ANN, machine learning, evolutionary genetic algorithms optimization, Web applications of ANN, spiking ANN, feature extraction minimization, medical applications of AI, environmental and earth applications of AI, multi layer ANN, and bioinformatics. The volume also contains the accepted papers from the Workshop on Applications of Soft Computing to Telecommunication (ASCOTE 2011), the Workshop on Computational Intelligence Applications in Bioinformatics (CIAB 2011), and the Second Workshop on Informatics and Intelligent Systems Applications for Quality of Life Information Services (ISQLIS 2011).

关键词：

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96页 << < 52 53 54 55 56 57 58 59 60 61 > >>

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：