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

1,925 篇 会议
233 册 图书
24 篇 期刊文献

馆藏范围

2,181 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,604 篇 工学
- 1,333 篇 计算机科学与技术...
- 465 篇 软件工程
- 251 篇 电气工程
- 236 篇 机械工程
- 186 篇 光学工程
- 179 篇 信息与通信工程
- 119 篇 控制科学与工程
- 95 篇 生物工程
- 62 篇 生物医学工程（可授...
- 41 篇 仪器科学与技术
- 39 篇 电子科学与技术（可...
- 30 篇 化学工程与技术
- 21 篇 安全科学与工程
- 19 篇 材料科学与工程（可...
- 15 篇 交通运输工程
- 13 篇 建筑学
444 篇 理学
- 258 篇 物理学
- 203 篇 数学
- 109 篇 生物学
- 57 篇 统计学（可授理学、...
- 22 篇 化学
228 篇 医学
- 200 篇 临床医学
- 26 篇 基础医学(可授医学...
- 22 篇 特种医学
136 篇 管理学
- 83 篇 图书情报与档案管...
- 59 篇 管理科学与工程(可...
- 19 篇 工商管理
27 篇 艺术学
- 27 篇 设计学（可授艺术学...
16 篇 农学
- 15 篇 作物学
15 篇 法学
- 13 篇 社会学
9 篇 教育学
7 篇 经济学
5 篇 文学
5 篇 军事学

主题

321 篇 computer vision
286 篇 pattern recognit...
166 篇 artificial intel...
119 篇 feature extracti...
114 篇 computer imaging...
99 篇 image processing...
82 篇 face recognition
67 篇 training
60 篇 object detection
60 篇 image segmentati...
54 篇 computer applica...
53 篇 deep learning
51 篇 robustness
47 篇 computer graphic...
46 篇 cameras
45 篇 visualization
43 篇 semantics
38 篇 object recogniti...
37 篇 shape
36 篇 information syst...

机构

89 篇 univ chinese aca...
67 篇 chinese acad sci...
59 篇 national laborat...
56 篇 chinese acad sci...
50 篇 univ chinese aca...
36 篇 chinese univ hon...
36 篇 university of ch...
31 篇 institute of aut...
27 篇 chinese acad sci...
25 篇 school of artifi...
23 篇 univ sci & techn...
22 篇 chinese academy ...
18 篇 chinese acad sci...
17 篇 chinese univ hon...
16 篇 chinese acad sci...
16 篇 univ chinese aca...
15 篇 national laborat...
15 篇 computer vision ...
14 篇 tsinghua univers...
14 篇 department of in...

作者

32 篇 wang xiaogang
29 篇 lu hanqing
28 篇 tan tieniu
28 篇 wang jinqiao
23 篇 li stan z.
22 篇 pal umapada
21 篇 huang kaiqi
21 篇 lei zhen
21 篇 qiao yu
19 篇 tieniu tan
19 篇 hu weiming
18 篇 tang xiaoou
17 篇 xilin chen
15 篇 wang liang
15 篇 chen xilin
15 篇 cheng jian
14 篇 liu jing
14 篇 tang ming
13 篇 xiaoou tang
13 篇 shiguang shan

语言

2,160 篇 英文
19 篇 中文
8 篇 其他
1 篇 土耳其文

检索条件"任意字段=7th Chinese Conference on Pattern Recognition and Computer Vision"

共 2182 条记录，以下是491-500 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：

Biometric recognition 1

引用

丛书名： Lecture Notes in computer Science

1000年

作者： Wei-Shi Zheng Jianhuang Lai Zhenan Sun Yunhong Wang Xilin Chen Pong C. Yuen

ISBN: (数字)9783642351365

ISBN: (纸本)9783642351358

this book constitutes the refereed proceedings of the 7th chinese conference on Biometric recognition, CCBR 2012, held in Guangzhou, China, in December 2012. the 46 revised full papers were carefully reviewed and selected from 80 submissions. the papers address the problems in face, iris, hand biometrics, speaker, handwriting, gait, soft biometrics, security and other related topics, and contribute new ideas to research and development of reliable and practical solutions for biometric authentication.

关键词： Biometrics pattern recognition Image Processing and computer vision Algorithm Analysis and Problem Complexity computer Graphics Information Systems Applications (incl. Internet)

来源：评论

学校读者我要写书评

暂无评论

computer Analysis of Images and patterns 1

引用

丛书名： Lecture Notes in computer Science

1000年

ISBN: (数字)9783540695561

ISBN: (纸本)9783540634607

this book constitutes the refereed proceedings of the 7th International conference on computer Analysis of Images and patterns, CAIP '97, held in Kiel, Germany, in September 1997.;the volume presents 92 revised papers selected during a double-blind reviewing process from a total of 150 high-quality submissions. the papers are organized in topical sections on pattern analysis, object recognition and tracking, invariants, applications, shape, texture analysis, motion calibration, low-level processing, structure from motion, stereo and correspondence, segmentation and grouping, mathematical morphology, pose estimation, and face analysis.

关键词： Signal, Image and Speech Processing Image Processing and computer vision pattern recognition computer Graphics Complexity

来源：评论

学校读者我要写书评

暂无评论

Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph 27

Multiple Target Tracking Based on Undirected Hierarchical Re...

引用

27th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Wen, Longyin Li, Wenbo Yan, Junjie Lei, Zhen Yi, Dong Li, Stan Z. Chinese Acad Sci Ctr Biometr & Secur Res Beijing 100864 Peoples R China Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100864 Peoples R China

ISBN: (纸本)9781479951178

Multi-target tracking is an interesting but challenging task in computer vision field. Most previous data association based methods merely consider the relationships (e.g. appearance and motion pattern similarities) between detections in local limited temporal domain, leading to their difficulties in handling long-term occlusion and distinguishing the spatially close targets with similar appearance in crowded scenes. In this paper, a novel data association approach based on undirected hierarchical relation hyper-graph is proposed, which formulates the tracking task as a hierarchical dense neighborhoods searching problem on the dynamically constructed undirected affinity graph. the relationships between different detections across the spatio-temporal domain are considered in a high-order way, which makes the tracker robust to the spatially close targets with similar appearance. Meanwhile, the hierarchical design of the optimization process fuels our tracker to long-term occlusion with more robustness. Extensive experiments on various challenging datasets (i.e. PETS2009 dataset, ParkingLot), including both low and high density sequences, demonstrate that the proposed method performs favorably against the state-of-the-art methods.

关键词： Multi-target tracking dense neighborhoods searching hypergraph undirected affinity graph

来源：评论

学校读者我要写书评

暂无评论

An interactive color harmony design system based on color vision law

An interactive color harmony design system based on color vi...

引用

7th International conference on computer-Aided Industrial Design and Conceptual Design (CAID&CD)

作者： Zhang, Quan Lu, Changde Yu, Mingliu Northwestern Polytech Univ Ind Design Dept Xian Peoples R China

ISBN: (纸本)9781424406838

Following color vision law is a good method for color harmony design. But there are two questions in dire need of resolve. First, the color models such as L*a*b*, RGB and HSV in actual CAD system are not uniform in vision;second there are short of harmony control techniques. In this article, a visual perceptual color model, i.e. HVC model is established based on artificial neural network (ANN). the ANN training data come from the Munsell system and chinese color system. And the comparison between the HVC model and the L*a*b* model in Photoshop software is presented. then, a set of harmony control algorithms are discussed in detail. Lastly, an interactive color harmony design system (ICHDS) is developed based on the HVC model and the harmony algorithms. Application testified that ICHDS provides effective color harmony design tools.

关键词： artificial neural network (ANN) color harmony design color vision law Munsell system

来源：评论

学校读者我要写书评

暂无评论

Does A Body Image Tell Age? 24

Does A Body Image Tell Age?

引用

24th International conference on pattern recognition (ICPR)

作者： Yuan, Baoyu Wu, Ancong Zheng, Wei-Shi Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou Guangdong Peoples R China Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou Guangdong Peoples R China Minist Educ Key Lab Machine Intelligence & Adv Comp Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781538637883

Age estimation is an important task in computer vision and is widely used in applications. However, such a technology is largely affected by the resolution of face, and it would be a challenge if one has to estimate the age of a person at a distance. While body image of a person is often captured more clearly, when and how to use body-based visual cues for age estimation are largely under studied. In this work, we argue that body-based visual cues are better for estimating the age group and can assist the estimation of exact age value. For this purpose, we develop a Body-based Age Net (BAN) that unifies selective local convolution features and contextual convolution features. the network is designed based on two assumptions: 1) a person's wearing is closely related to his/her age group property;2) some selective local parts of a body are more discriminative for age group estimation. We have contributed a large-scale and publicly available Body Age (BAG) dataset. We have quantitatively evaluated the proposed model on BAG.

关键词： Face Estimation Feature extraction Visualization Hair computer vision

来源：评论

学校读者我要写书评

暂无评论

Video Editing with Temporal, Spatial and Appearance Consistency

Video Editing with Temporal, Spatial and Appearance Consiste...

引用

26th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Guo, Xiaojie Cao, Xiaochun Chen, Xiaowu Ma, Yi Tianjin Univ Sch Comp Sci & Technol Tianjin 300072 Peoples R China Chinese Acad Sci IIE State Key Lab Informat Secur Beijing 100093 Peoples R China Beihang Univ Sch Comp Sci & Engn Beijing Peoples R China Microsoft Res Asia Visual Comp Grp Beijing 100080 Peoples R China

ISBN: (纸本)9780769549897

Given an area of interest in a video sequence, one may want to manipulate or edit the area, e.g. remove occlusions from or replace with an advertisement on it. Such a task involves three main challenges including temporal consistency, spatial pose, and visual realism. the proposed method effectively seeks an optimal solution to simultaneously deal with temporal alignment, pose rectification, as well as precise recovery of the occlusion. To make our method applicable to long video sequences, we propose a batch alignment method for automatically aligning and rectifying a small number of initial frames, and then show how to align the remaining frames incrementally to the aligned base images. From the error residual of the robust alignment process, we automatically construct a trimap of the region for each frame, which is used as the input to alpha matting methods to extract the occluding foreground. Experimental results on both simulated and real data demonstrate the accurate and robust performance of our method.

关键词： hidden feature removal image sequences video signal processing

来源：评论

学校读者我要写书评

暂无评论

Partial Occlusion Handling for Visual Tracking via Robust Part Matching 27

Partial Occlusion Handling for Visual Tracking via Robust Pa...

引用

27th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Zhang, Tianzhu Jia, Kui Xu, Changsheng Ma, Yi Ahuja, Narendra Chinese Acad Sci Inst Automat Beijing 100864 Peoples R China Adv Digital Sci Ctr Illinois Singapore Singapore ShanghaiTech Univ Sch Informat Sci & Technol Shanghai Peoples R China Univ Illinois Urbana IL 61801 USA

ISBN: (纸本)9781479951178

Part-based visual tracking is advantageous due to its robustness against partial occlusion. However, how to effectively exploit the confidence scores of individual parts to construct a robust tracker is still a challenging problem. In this paper, we address this problem by simultaneously matching parts in each of multiple frames, which is realized by a locality-constrained low-rank sparse learning method that establishes multi-frame part correspondences through optimization of partial permutation matrices. the proposed part matching tracker (PMT) has a number of attractive properties. (1) It exploits the spatial-temporal locality-constrained property for robust part matching. (2) It matches local parts from multiple frames jointly by considering their low-rank and sparse structure information, which can effectively handle part appearance variations due to occlusion or noise. (3) the proposed PMT model has the inbuilt mechanism of leveraging multi-mode target templates, so that the dilemma of template updating when encountering occlusion in tracking can be better handled. this contrasts with existing methods that only do part matching between a pair of frames. We evaluate PMT and compare with 10 popular state-of-the-art methods on challenging benchmarks. Experimental results show that PMT consistently outperform these existing trackers.

关键词： visual tracking

来源：评论

学校读者我要写书评

暂无评论

Segment-Tree based Cost Aggregation for Stereo Matching

Segment-Tree based Cost Aggregation for Stereo Matching

引用

26th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Mei, Xing Sun, Xun Dong, Weiming Wang, Haitao Zhang, Xiaopeng Chinese Acad Sci Inst Automat NLPR Beijing Peoples R China Samsung Adv Inst Technol China Lab Beijing Peoples R China

ISBN: (纸本)9780769549897

this paper presents a novel tree-based cost aggregation method for dense stereo matching. Instead of employing the minimum spanning tree (MST) and its variants, a new tree structure, "Segment-Tree", is proposed for non-local matching cost aggregation. Conceptually, the segment-tree is constructed in a three-step process: first, the pixels are grouped into a set of segments with the reference color or intensity image;second, a tree graph is created for each segment;and in the final step, these independent segment graphs are linked to form the segment-tree structure. In practice, this tree can be efficiently built in time nearly linear to the number of the image pixels. Compared to MST where the graph connectivity is determined with local edge weights, our method introduces some 'non-local' decision rules: the pixels in one perceptually consistent segment are more likely to share similar disparities, and therefore their connectivity within the segment should be first enforced in the tree construction process. the matching costs are then aggregated over the tree within two passes. Performance evaluation on 19 Middlebury data sets shows that the proposed method is comparable to previous state-of-the-art aggregation methods in disparity accuracy and processing speed. Furthermore, the tree structure can be refined with the estimated disparities, which leads to consistent scene segmentation and significantly better aggregation results.

关键词： decision trees image matching image segmentation natural scenes stereo image processing trees (mathematics)

来源：评论

学校读者我要写书评

暂无评论

Compressed Hashing

Compressed Hashing

引用

26th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Lin, Yue Jin, Rong Cai, Deng Yan, Shuicheng Li, Xuelong Zhejiang Univ Coll Comp Sci State Key Lab CAD&CG Hangzhou 310003 Zhejiang Peoples R China Michigan State Univ Dept Comp Sci & Engn E Lansing MI 48824 USA Chinese Acad Sci OPTical IMagery Analy & Learn Beijing 100864 Peoples R China Natl Univ Singapore Dept Elect & Elect Engn Singapore 117548 Singapore

ISBN: (纸本)9780769549897

Recent studies have shown that hashing methods are effective for high dimensional nearest neighbor search. A common problem shared by many existing hashing methods is that in order to achieve a satisfied performance, a large number of hash tables (i.e., long code-words) are required. To address this challenge, in this paper we propose a novel approach called Compressed Hashing by exploring the techniques of sparse coding and compressed sensing. In particular, we introduce a sparse coding scheme, based on the approximation theory of integral operator, that generate sparse representation for high dimensional vectors. We then project sparse codes into a low dimensional space by effectively exploring the Restricted Isometry Property (RIP), a key property in compressed sensing theory. Both of the theoretical analysis and the empirical studies on two large data sets show that the proposed approach is more effective than the state-of-the-art hashing algorithms.

关键词： approximation theory compressed sensing data compression file organisation vectors

来源：评论

学校读者我要写书评

暂无评论

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation 29

DCAN: Deep Contour-Aware Networks for Accurate Gland Segment...

引用

2016 IEEE conference on computer vision and pattern recognition (CVPR)

作者： Chen, Hao Qi, Xiaojuan Yu, Lequan Heng, Pheng-Ann Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781467388511

the morphology of glands has been used routinely by pathologists to assess the malignancy degree of adenocarcinomas. Accurate segmentation of glands from histology images is a crucial step to obtain reliable morphological statistics for quantitative diagnosis. In this paper, we proposed an efficient deep contour-aware network (DCAN) to solve this challenging problem under a unified multi-task learning framework. In the proposed network, multi-level contextual features from the hierarchical architecture are explored with auxiliary supervision for accurate gland segmentation. When incorporated with multi-task regularization during the training, the discriminative capability of intermediate features can be further improved. Moreover, our network can not only output accurate probability maps of glands, but also depict clear contours simultaneously for separating clustered objects, which further boosts the gland segmentation performance. this unified framework can be efficient when applied to large-scale histopathological data without resorting to additional steps to generate contours based on low-level cues for post-separating. Our method won the 2015 MICCAI Gland Segmentation Challenge out of 13 competitive teams, surpassing all the other methods by a significant margin.

关键词： Image segmentation

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219页 << < 46 47 48 49 50 51 52 53 54 55 > >>

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：