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

1,929 篇 会议
241 册 图书
24 篇 期刊文献

馆藏范围

2,193 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,607 篇 工学
- 1,334 篇 计算机科学与技术...
- 467 篇 软件工程
- 250 篇 电气工程
- 235 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
- 96 篇 生物工程
- 62 篇 生物医学工程（可授...
- 42 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
- 18 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
- 257 篇 物理学
- 202 篇 数学
- 110 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
137 篇 管理学
- 83 篇 图书情报与档案管...
- 60 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...
122 篇 computer imaging...
119 篇 feature extracti...
101 篇 image processing...
82 篇 face recognition
68 篇 training
61 篇 object detection
60 篇 image segmentati...
57 篇 computer applica...
55 篇 deep learning
51 篇 robustness
47 篇 computer graphic...
46 篇 cameras
45 篇 visualization
43 篇 semantics
38 篇 machine learning
38 篇 object recogniti...
37 篇 shape

机构

89 篇 univ chinese aca...
67 篇 chinese acad sci...
60 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...
26 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

2,163 篇 英文
19 篇 中文
17 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 2194 条记录，以下是1031-1040 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：

Perceptual Loss with Fully Convolutional for Image Residual Denoising

Perceptual Loss with Fully Convolutional for Image Residual ...

引用

7th chinese conference on pattern recognition (CCPR)

作者： Tao Pan Fu Zhongliang Wang Lili Zhu Kai Chinese Acad Sci Chengdu Inst Comp Applicat Chengdu 610041 Sichuan Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9789811030055;9789811030048

In this paper we propose a fully convolutional encoder-decoder framework for image residual transformation tasks. Instead of only using per-pixel loss function, the proposed framework learn end-to-end mapping combined with perceptual loss function that depend on low-level features from a pre-trained network. Pointing out the mapping function in order to handle noise-free image by introduce identity mapping. And through an analysis of the interplay between the neural networks and the underlying noisy distribution which they seeking to learn. We also show how to construct a uniform transform, which is then used to make a single deep neural network work well across different levels of noise. Comparing with previous approaches, ours achieves better performance. the experimental results indicate the efficiency of the proposed algorithm to cope with image denoising tasks.

关键词： Residual denoising Encoder-decoder Perceptual loss

来源：评论

学校读者我要写书评

暂无评论

computer vision Color Constancy from Maximal Projections Mean Assumption 7th

Computer Vision Color Constancy from Maximal Projections Mea...

引用

7th International conference on Image and Signal Processing (ICISP)

作者： Lakehal, Elkhamssa Ziou, Djemel Univ Batna 2 LAMIE LAMIE Lab Fac Math & Informat Fesdis Batna 05110 Algeria Univ Sherbrooke DMI Quebec City PQ Canada

ISBN: (纸本)9783319336183;9783319336176

In this paper, we propose a fast solution for the problem of illuminant color estimation. We present a physics-based algorithm that uses the mean projections maximization assumption. We investigated this hypothesis on a large images dataset and used it afterwords to estimate the illuminant color. the proposed algorithm reduces the illuminant estimation problem to an uncentred PCA problem. the evaluation of the algorithm on two well-known image datasets results in lower angular errors.

关键词： Color constancy Scene illuminant estimation Dichromatic model Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Fractional Orthogonal Fourier-Mellin Moments for pattern recognition 7th

Fractional Orthogonal Fourier-Mellin Moments for Pattern Rec...

引用

7th chinese conference on pattern recognition (CCPR)

作者： Zhang, Huaqing Li, Zongmin Liu, Yujie China Univ Petr Huadong Qingdao Econ & Technol Dev Zone 66 Changjiang West Rd Qingdao 266580 Shandong Peoples R China

ISBN: (纸本)9789811030024;9789811030017

In this paper, we generalize the orthogonal Fourier-Mellin moments (OFMMs) to the fractional orthogonal Fourier-Mellin moments (FOFMMs), which are based on the fractional radial polynomials. We propose a new method to construct FOFMMs by using a continuous parameter t (t > 0). the fractional radial polynomials of FOFMMs have the same number of zeros as OFMMs with the same degree. But the zeros of FOFMMs polynomial are more uniformly distributed than which of OFMMs and the first zero is closer to the origin. A recursive method is also given to reduce computation time and improve numerical stability. Experimental results show that the proposed FOFMMs have better performance.

关键词： Fractional orthogonal Fourier-Mellin moments Orthogonal Fourier-Mellin moments Moment invariant pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Adaptive Multi-Metric Fusion for Person Re-identification 7th

Adaptive Multi-Metric Fusion for Person Re-identification

引用

7th chinese conference on pattern recognition (CCPR)

作者： Li, Penglin Liu, Mengxue Gu, Yun Yao, Lixiu Yang, Jie Shanghai Jiao Tong Univ Inst Image Proc & Pattern Recognit 800 Dongchuan Rd Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Sch Biomed Engn 800 Dongchuan Rd Shanghai 200240 Peoples R China

ISBN: (纸本)9789811030024;9789811030017

Person re-identification, which aims at recognizing a person of interest across spatially disjoint camera views, is still a challenging task. Plenty of approaches emerge in recent years and some of them achieve good matching results. Given a probe image, we observe that the ranking results generated by different approaches differ from each other. Considering these conventional methods are reasonable, we propose an Adaptive Multi-Metric Fusion (AMMF) method which fuses the existing ranking results with query-specific weights. Experiments on two challenging databases, VIPeR and EthZ, demonstrate that the proposed method achieves further performance improvement.

关键词： Person re-identification Fusion Multi-metric Re-ranking

来源：评论

学校读者我要写书评

暂无评论

Illumination-based and Device-independent Imaging Model and Spectral Response Functions

Illumination-based and Device-independent Imaging Model and ...

引用

IEEE International conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Zhen Zhang Wei Huang Wentao Li Jiandong Tian University of Chinese Academy of Sciences Beijing China State Key Laboratory of Robotics Chinese Academy of Sciences Shenyang China

this work provides a theoretical framework for the colorimetric scene reproduction under different illuminants. First, based on the principle of CIE color matching experiment as well as image production pipeline in digital still cameras, we analyze and conclude that the Color Matching Function (CMF) of the color space determined by a display is the best Spectral Response Function (SRF) for scene reproduction on the certain conditions. then, we wonder what the best SRFs for other illuminants beyond D65 are. In order to do this, we propose a new imaging formula in which the SRF is changing with illumination variation. Different from previous imaging formulae suitable for RAW format for D65 illuminants, our imaging formulae is a theoretical one that can achieve color constancy for an arbitrary camera under any illuminants and is suitable for final image formats. We also propose two methods to solve the optimal SRF, including the pseudo-inverse solution and Brandford method. Finally, we compare the proposed method with previous common-used method, and the experimental results can validate the performance of the proposed method.

关键词： Image color analysis Cameras Sensitivity Lighting computer vision

来源：评论

学校读者我要写书评

暂无评论

the Effect of Quantization Setting for Image Denoising Methods: An Empirical Study

The Effect of Quantization Setting for Image Denoising Metho...

引用

7th chinese conference on pattern recognition (CCPR)

作者： Pan, Feng Yan, Zifei Zhang, Kai Zhang, Hongzhi Zuo, Wangmeng Harbin Inst Technol Harbin 150001 Heilongjiang Peoples R China

ISBN: (纸本)9789811030055;9789811030048

Image denoising, which aims to recover a clean image from a noisy one, is a classical yet still active topic in low level vision due to its high value in various practical applications. Existing image denoising methods generally assume the noisy image is generated by adding an additive white Gaussian noise (AWGN)to the clean image. Following this assumption, synthetic noisy images with ideal AWGN rather than real noisy images are usually used to test the performance of the denoising methods. Such synthetic noisy images, however, lack the necessary image quantification procedure which implies some pixel intensity values may be even negative or higher than the maximum of the value interval (e.g., 255), leading to a violation of the image coding. Consequently, this naturally raises the question: what is the difference between those two kinds of denoised images with and without quantization setting? In this paper, we first give an empirical study to answer this question. Experimental results demonstrate that the pixel value range of the denoised images with quantization setting tend to be narrower than that without quantization setting, as well as that of ground-truth images. In order to resolve this unwanted effect of quantization, we then propose an empirical trick for state-of-the-art weighted nuclear norm minimization (WNNM) based denoising method such that the pixel value interval of the denoised image with quantization setting accords with that of the corresponding groundtruth image. As a result, our findings can provide a deeper understanding on effect of quantization and its possible solutions.

关键词： Image denoising Low level vision Quantization setting

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Networks with Neural Cascade Classifier for Pedestrian Detection 7th

Convolutional Neural Networks with Neural Cascade Classifier...

引用

7th chinese conference on pattern recognition (CCPR)

作者： Tong, Bei Fan, Bin Wu, Fuchao Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China

ISBN: (纸本)9789811030024;9789811030017

the combination of traditional methods (e.g., ACF) and Convolutional Neural Networks (CNNs) has achieved great success in pedestrian detection. Despite effectiveness, design of this method is intricate. In this paper, we present an end-to-end network based on Faster R-CNN and neural cascade classifier for pedestrian detection. Different from Faster R-CNN that only makes use of the last convolutional layer, we utilize features from multiple layers and feed them to a neural cascade classifier. Such an architecture favors more low-level features and implements a hard negative mining process in the network. Both of these two factors are important in pedestrian detection. the neural cascade classifier is jointly trained with the Faster R-CNN in our unifying network. the proposed network achieves comparable performance to the state-of-the-art on Caltech pedestrian dataset with a more concise framework and faster processing speed. Meanwhile, the detection result obtained by our method is tighter and more accurate.

关键词： Convolutional Neural Network Cascade classifier Faster R-CNN Pedestrian detection

来源：评论

学校读者我要写书评

暂无评论

A Discriminative Feature Learning Approach for Deep Face recognition 14th

A Discriminative Feature Learning Approach for Deep Face Rec...

引用

14th European conference on computer vision (ECCV)

作者： Wen, Yandong Zhang, Kaipeng Li, Zhifeng Qiao, Yu Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Key Lab Comp Vis & Pattern Recognit Shenzhen Peoples R China Chinese Univ Hong Kong Shatin Hong Kong Peoples R China

ISBN: (纸本)9783319464787;9783319464770

Convolutional neural networks (CNNs) have been widely used in computer vision community, significantly improving the state-of-the-art. In most of the available CNNs, the softmax loss function is used as the supervision signal to train the deep model. In order to enhance the discriminative power of the deeply learned features, this paper proposes a new supervision signal, called center loss, for face recognition task. Specifically, the center loss simultaneously learns a center for deep features of each class and penalizes the distances between the deep features and their corresponding class centers. More importantly, we prove that the proposed center loss function is trainable and easy to optimize in the CNNs. With the joint supervision of softmax loss and center loss, we can train a robust CNNs to obtain the deep features with the two key learning objectives, inter-class dispension and intra-class compactness as much as possible, which are very essential to face recognition. It is encouraging to see that our CNNs (with such joint supervision) achieve the state-of-the-art accuracy on several important face recognition benchmarks, Labeled Faces in the Wild (LFW), YouTube Faces (YTF), and MegaFace Challenge. Especially, our new approach achieves the best results on MegaFace (the largest public domain face benchmark) under the protocol of small training set (contains under 500000 images and under 20000 persons), significantly improving the previous results and setting new state-of-the-art for both face recognition and face verification tasks.

关键词： Convolutional neural networks Face recognition Discriminative feature learning Center loss

来源：评论

学校读者我要写书评

暂无评论

Low-Quality Character recognition Based on Dictionary Learning and Sparse Representation

Low-Quality Character Recognition Based on Dictionary Learni...

引用

7th chinese conference on pattern recognition (CCPR)

作者： Liao, Haibin Li, Li Chen, Youbin Ruan, Ruolin Guangdong Micropattern Software Co Ltd Guangzhou Guangdong Peoples R China Hubei Univ Sci & Technol Sch Comp Sci & Technol Xianning Peoples R China Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China Huazhong Univ Sci & Technol Sch Automat Wuhan Hubei Peoples R China

ISBN: (纸本)9789811030055;9789811030048

Dictionary Learning (DL) and Sparse Representation Classification (SRC) have shown great success in face recognition recently. Practice have proven that SRC has strong robustness against noise and occlusion in face images. Our work focused on a new low-quality character recognition method based on DL and Sparse Representation (SR). SRC is introduced to deal with the low quality of character images, such as broken stroke, noise, fuzziness. Simultaneously, we also apply the linear combination of over-complete dictionary to recognize characters with different fonts and sizes. A dictionary learning method based on factor analysis is also proposed to make the dictionary more discriminative. Experiments show our method not only can recognizes characters with different fonts and sizes, but also is robust against broken stroke, noise, and fuzziness. Our method is also efficacious as it does not acquire some complex preprocessing procedures, such as binarization and refinement.

关键词： Optical character recognition Dictionary learning Sparse representation Factor analysis

来源：评论

学校读者我要写书评

暂无评论

Graph Based Skeleton Motion Representation and Similarity Measurement for Action recognition 14th

Graph Based Skeleton Motion Representation and Similarity Me...

引用

14th European conference on computer vision (ECCV)

作者： Wang, Pei Yuan, Chunfeng Hu, Weiming Li, Bing Zhang, Yanning Chinese Acad Sci CAS Ctr Excellence Brain Sci & Intelligence Techn Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian Peoples R China

ISBN: (纸本)9783319464787;9783319464770

Most of existing skeleton-based representations for action recognition can not effectively capture the spatio-temporal motion characteristics of joints and are not robust enough to noise from depth sensors and estimation errors of joints. In this paper, we propose a novel low-level representation for the motion of each joint through tracking its trajectory and segmenting it into several semantic parts called motionlets. During this process, the disturbance of noise is reduced by trajectory fitting, sampling and segmentation. then we construct an undirected complete labeled graph to represent a video by combining these motionlets and their spatio-temporal correlations. Furthermore, a new graph kernel called subgraph-pattern graph kernel (SPGK) is proposed to measure the similarity between graphs. Finally, the SPGK is directly used as the kernel of SVM to classify videos. In order to evaluate our method, we perform a series of experiments on several public datasets and our approach achieves a comparable performance to the state-of-the-art approaches.

关键词： 3D human action recognition Graph kernel Skeleton motion

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220页 << < 100 101 102 103 104 105 106 107 108 109 > >>

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：