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

709 篇 会议
278 篇 期刊文献
14 册 图书

馆藏范围

1,001 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

595 篇 工学
- 383 篇 计算机科学与技术...
- 340 篇 软件工程
- 132 篇 信息与通信工程
- 100 篇 生物工程
- 98 篇 光学工程
- 96 篇 机械工程
- 75 篇 控制科学与工程
- 68 篇 生物医学工程（可授...
- 36 篇 仪器科学与技术
- 35 篇 电气工程
- 35 篇 化学工程与技术
- 25 篇 电子科学与技术（可...
- 17 篇 建筑学
- 16 篇 土木工程
- 12 篇 安全科学与工程
- 9 篇 力学（可授工学、理...
345 篇 理学
- 145 篇 数学
- 131 篇 物理学
- 107 篇 生物学
- 42 篇 统计学（可授理学、...
- 35 篇 化学
- 10 篇 系统科学
137 篇 管理学
- 94 篇 图书情报与档案管...
- 50 篇 管理科学与工程(可...
- 16 篇 工商管理
24 篇 医学
- 24 篇 临床医学
- 22 篇 基础医学(可授医学...
- 18 篇 药学(可授医学、理...
18 篇 艺术学
- 18 篇 设计学（可授艺术学...
16 篇 法学
- 16 篇 社会学
5 篇 经济学
3 篇 农学
2 篇 文学
1 篇 教育学

主题

125 篇 feature extracti...
113 篇 pattern recognit...
100 篇 computer vision
84 篇 image segmentati...
75 篇 training
71 篇 support vector m...
68 篇 handwriting reco...
68 篇 character recogn...
48 篇 shape
47 篇 optical characte...
41 篇 accuracy
37 篇 histograms
33 篇 databases
31 篇 testing
30 篇 cameras
29 篇 robustness
28 篇 image edge detec...
28 篇 writing
27 篇 hidden markov mo...
27 篇 kernel

机构

204 篇 computer vision ...
43 篇 computer vision ...
42 篇 university of ch...
40 篇 shenzhen key lab...
31 篇 national key lab...
30 篇 pattern analysis...
28 篇 faculty of compu...
26 篇 shenzhen key lab...
21 篇 siat branch shen...
19 篇 pattern analysis...
19 篇 shanghai ai labo...
18 篇 department of st...
17 篇 sensetime resear...
17 篇 computer vision ...
16 篇 computer vision ...
16 篇 shenzhen key lab...
14 篇 pattern analysis...
14 篇 school of comput...
14 篇 xiamen key labor...
12 篇 pattern analysis...

作者

112 篇 umapada pal
105 篇 pal umapada
60 篇 qiao yu
54 篇 vittorio murino
39 篇 b.b. chaudhuri
32 篇 michael blumenst...
32 篇 palaiahnakote sh...
30 篇 blumenstein mich...
30 篇 alessio del bue
28 篇 murino vittorio
27 篇 yu qiao
27 篇 shivakumara pala...
26 篇 dong chao
25 篇 chaudhuri b.b.
23 篇 u. pal
19 篇 liu xin
18 篇 lu tong
17 篇 wang yali
17 篇 tong lu
16 篇 chanda sukalpa

语言

979 篇 英文
19 篇 其他
3 篇 中文

检索条件"机构=Computer Vision and Pattern"

共 1001 条记录，以下是131-140 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：

Machine authentication of security documents

Machine authentication of security documents

引用

ICDAR2009 - 10th International Conference on Document Analysis and Recognition

作者： Garain, Utpal Halder, Biswajit Computer Vision and Pattern Recognition Unit India Statistical Institute 203 B.T. Road Kolkata 700108 India WB India

ISBN: (纸本)9780769537252

This paper presents a pioneering effort towards machine authentication of security documents like bank cheques, legal deeds, certificates, etc. that fall under the same class as far as security is concerned. The proposed method first computationally extracts the security features from the document images and then the notion of 'genuine' vs. 'duplicate' is defined in the feature space. Bank cheques are taken as a reference for conducting the present experiment. Support Vector Machines (SVMs) and Neural Networks (NN) are involved to verify authenticity of these cheques. Results on a test dataset of 200 samples show that the proposed approach achieves about 98% accuracy for discriminating duplicate cheques from genuine ones. This strongly attests the viability of involving machine in authenticating security documents. © 2009 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Using electromagnetic input for multi-user or two-handed spatial gestural interaction based on the digital compass 15

Using electromagnetic input for multi-user or two-handed spa...

引用

17th International Conference on Human-computer Interaction with Mobile Devices and Services, MobileHCI 2015

作者： Yuksel, Kamer Ali Baz, Ipek Ozduman, Haluk Computer Vision and Pattern Recognition Laboratory Sabanci University Turkey Research Center for ICT German Turkish Advanced Technical University of Berlin Germany

ISBN: (纸本)9781450336529

Multiple researchers recently proposed the use of the digital compass embedded in mobile devices for touchless interaction in the 3D space around them. These methods overcome several limits imposed by other interaction techniques and were evaluated for a variety of uses. However, they do not support collaborative settings and are prone to dynamic noise caused by external conditions, as with most other sensor-based interaction techniques. In this paper, we propose the use of frequency-modulated electromagnets as an input medium for magnetic interaction to overcome its various constraints and further enable multi-user and two-handed input. Furthermore, we demonstrated the hardware design specifications of a novel input device, referred to as electromagnetic stylus, which is prototyped to conduct a user-study on the proposed method. Experimental results indicate that gestures performed simultaneously by four electromagnetic styli can accurately be recognized using a single magnetic field sensor, and dynamic noises can be substantially reduced. © 2015 ACM.

关键词： Timing circuits

来源：评论

学校读者我要写书评

暂无评论

Multi-label learning on principles of reverse k-nearest neighbourhood

Multi-label learning on principles of reverse k-nearest neig...

引用

作者： Sadhukhan, Payel Palit, Sarbani Machine Intelligence Unit Indian Statistical Institute Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

In this article, we present a novel neighbourhood based multi-label classifier, Multi-label Learning on principles of Reverse k-Nearest Neighbourhood (ML-RkNN) where we estimate the neighbourhood of the points on the basis of their reverse k-nearest neighbourhood (RkNN). Through RkNN, for the same value of k, we get different number of neighbours for different instances and this happens adaptively according to the neighbourhood configuration of the points. The automatically adaptive neighbourhood helps us in better learning of the local configurations around the points. Our scheme also facilitates implicit handling of the local imbalances prevailing in the datasets by comparing the class distributions of the test points and their reverse nearest neighbours. This implicit and adaptive handling is particularly useful for multi-label label datasets, whose labels are differentially imbalanced. Empirical study is performed on 10 real-world multi-label datasets considering five neighbourhood based multi-label learners. Macro F1 is used as the evaluating metric. The proposed method has given statistically superior and statistically comparable performances with respect to three and two comparing methods respectively. Additionally, we have explored the use of two different distance metrics, Euclidean and Jaccard in our scheme for nominal datasets. © 2020 John Wiley & Sons, Ltd.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Asymmetric distances for binary embeddings

Asymmetric distances for binary embeddings

引用

作者： Gordo, Albert Perronnin, Florent Computer Vision Center Universitat Autònoma de Barcelona Spain Textual and Visual Pattern Analysis Xerox Research Centre Europe France

ISBN: (纸本)9781457703942

In large-scale query-by-example retrieval, embedding image signatures in a binary space offers two benefits: data compression and search efficiency. While most embedding algorithms binarize both query and database signatures, it has been noted that this is not strictly a requirement. Indeed, asymmetric schemes which binarize the database signatures but not the query still enjoy the same two benefits but may provide superior accuracy. In this work, we propose two general asymmetric distances which are applicable to a wide variety of embedding techniques including Locality Sensitive Hashing (LSH), Locality Sensitive Binary Codes (LSBC), Spectral Hashing (SH) and Semi-Supervised Hashing (SSH). We experiment on four public benchmarks containing up to 1M images and show that the proposed asymmetric distances consistently lead to large improvements over the symmetric Hamming distance for all binary embedding techniques. We also propose a novel simple binary embedding technique PCA Embedding (PCAE) which is shown to yield competitive results with respect to more complex algorithms such as SH and SSH. © 2011 IEEE.

关键词： Hamming distance

来源：评论

学校读者我要写书评

暂无评论

Complete Statistical Analysis to Weather Forecasting 1st

Complete Statistical Analysis to Weather Forecasting

引用

1st International Conference on Computational Intelligence in pattern Recognition, CIPR 2019

作者： Datta, Anisha Si, Shukrity Biswas, Sanket Department of Computer Science and Engineering Jalpaiguri Government Engineering College Jalpaiguri735102 India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata700108 India

ISBN: (纸本)9789811390418

The primary objective of the model applied in this work is to predict the weather of a city named Austin in Texas using supervised machine learning algorithms. In this case, artificial neural networks and gradient boosting classifier were implemented to build models to predict weather and comparisons between these two models are also made for this dataset. Here, average temperature, average dew point, average pressure of sea level, average percentage of humidity, etc. are the parameters taken into consideration which influence the weather of the place. Using these parameters, the trained models performed a classification to predict whether the weather is rainy (thunderstorm or not), not rainy, snowy, or foggy. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Supervised learning

来源：评论

学校读者我要写书评

暂无评论

Segmentation of building facade domes

Segmentation of building facade domes

引用

17th Iberoamerican Congress on Progress in pattern Recognition, Image Analysis, computer vision, and Applications, CIARP 2012

作者： Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Vienna University of Technology Computer Vision Lab. Austria Vienna University of Technology Pattern Recongition and Image Processing Lab. Austria

ISBN: (纸本)9783642332746

Domes are architectural structural elements typical for ecclesiastical and secular grand buildings, like churches, mosques, palaces, capitols and city halls. The current paper targets the problem of segmentation of domes within the framework of architectural style classification of building facades. We perform segmentation of building facade domes by combining bilateral symmetry detection, graph-based segmentation approaches and image analysis and processing technics into a single method. Our algorithm achieves good segmentation results on buildings belonging to variety of architectural styles, such as Renaissanse, Neo-Renaissance, Baroque, Neo-Baroque, Neoclassical and Islamic. © 2012 Springer-Verlag.

关键词： Domes

来源：评论

学校读者我要写书评

暂无评论

Continuous Motion Numeral Recognition Using RNN Architecture in Air-Writing Environment 5th

Continuous Motion Numeral Recognition Using RNN Architecture...

引用

5th Asian Conference on pattern Recognition, ACPR 2019

作者： Rahman, Adil Roy, Prasun Pal, Umapada Department of Information Technology Heritage Institute of Technology Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

ISBN: (纸本)9783030414030

Air-writing, defined as character tracing in a three dimensional free space through hand gestures, is the way forward for peripheral-independent, virtual interaction with devices. While single unistroke character recognition is fairly simple, continuous writing recognition becomes challenging owing to absence of delimiters between characters. Moreover, stray hand motion while writing adds noise to the input, making accurate recognition difficult. The key to accurate recognition of air-written characters lies in noise elimination and character segmentation from continuous writing. We propose a robust and hardware-independent framework for multi-digit unistroke numeral recognition in air-writing environment. We present a sliding window based method which isolates a small segment of the spatio-temporal input from the air-writing activity for noise removal and digit segmentation. Recurrent Neural Networks (RNN) show great promise in dealing with temporal data and is the basis of our architecture. Recognition of digits which have other digits as their sub-shapes is challenging. Capitalizing on how digits are commonly written, we propose a novel priority scheme to determine digit precedence. We only use sequential coordinates as input, which can be obtained from any generic camera, making our system widely accessible. Our experiments were conducted on English numerals using a combination of MNIST and Pendigits datasets along with our own air-written English numerals dataset (ISI-Air Dataset). Additionally, we have created a noise dataset to classify noise. We observe a drop in accuracy with increase in the number of digits written in a single continuous motion because of noise generated between digit transitions. However, under standard conditions, our system produced an accuracy of 98.45% and 82.89% for single and multiple digit English numerals, respectively. © Springer Nature Switzerland AG 2020.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

Text detection of two major Indian scripts in natural scene images

Text detection of two major Indian scripts in natural scene ...

引用

4th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2011

作者： Roy Chowdhury, Aruni Bhattacharya, Ujjwal Parui, Swapan K. Department of Information Technology Heritage Institute of Technology Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

ISBN: (纸本)9783642293634

In this article, we present a robust scheme for detection of Devanagari or Bangla texts in scene images. These are the two most popular scripts in India. The proposed scheme is primarily based on two major characteristics of such texts - (i) variations in stroke thickness for text components of a script are low compared to their non-text counterparts and (ii) presence of a headline along with a few vertical downward strokes originating from this headline. We use the Euclidean distance transform to verify the general characteristics of texts in (i). Also, we apply the probabilistic Hough line transform to detect the characteristic headline of Devanagari and Bangla texts. Further, similarity and adjacency measures are applied to identify text regions, which do not satisfy the verification in (ii). The proposed approach has been simulated on a repository of 120 images taken from Indian roads and the results are encouraging. Also, we have discussed the applicability of the proposed scheme for detection of English texts. Towards this end, we have considered the training and test samples from the image database of ICDAR 2003 Robust Reading Competition. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Character recognition

来源：评论

学校读者我要写书评

暂无评论

Plankton Recognition in Images with Varying Size 25th

Plankton Recognition in Images with Varying Size

引用

25th International Conference on pattern Recognition Workshops, ICPR 2020

作者： Bureš, Jaroslav Eerola, Tuomas Lensu, Lasse Kälviäinen, Heikki Zemčík, Pavel Computer Vision and Pattern Recognition Laboratory LUT University Lappeenranta Finland Faculty of Information Technology Brno University of Technology Brno Czech Republic

ISBN: (纸本)9783030687793

Monitoring plankton is important as they are an essential part of the aquatic food web as well as producers of oxygen. Modern imaging devices produce a massive amount of plankton image data which calls for automatic solutions. These images are characterized by a very large variation in both the size and the aspect ratio. Convolutional neural network (CNN) based classification methods, on the other hand, typically require a fixed size input. Simple scaling of the images into a common size contains several drawbacks. First, the information about the size of the plankton is lost. For human experts, the size information is one of the most important cues for identifying the species. Second, downscaling the images leads to the loss of fine details such as flagella essential for species recognition. Third, upscaling the images increases the size of the network. In this work, extensive experiments on various approaches to address the varying image dimensions are carried out on a challenging phytoplankton image dataset. A novel combination of methods is proposed, showing improvement over the baseline CNN. © 2021, Springer Nature Switzerland AG.

关键词： Aspect ratio

来源：评论

学校读者我要写书评

暂无评论

On OCR of degraded documents using fuzzy multifactorial analysis 5th

引用

5th International Conference on Asian Fuzzy Systems Society, AFSS 2002

作者： Garain, U. Chaudhuri, B.B. Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 B. T. Road Kolkata700 035 India

ISBN: (纸本)9783540431503

Optical Character Recognition (OCR) systems show poor performance while processing documents like old books or newspapers, Xerox materials, faxed documents, etc. Such documents are considered as degraded documents. One of the important reasons for poor recognition rate for degraded documents is existence of touching or connected characters, which create a major problem for designing an effective character segmentation procedure. In this paper, a new technique is proposed for segmentation of touching characters. The technique is based on fuzzy multifactorial analysis. A predictive algorithm is developed for effectively selecting cut-points to segment touching characters. Initially, our proposed method has been applied for segmenting touching characters that appear in Devnagari (Hindi) and Bangla, two major scripts in Indian sub-continent. The results obtained from a test-set of considerable size show that a high recognition rate can be achieved with a reasonable amount of computations. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Optical character recognition

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101页 << < 10 11 12 13 14 15 16 17 18 19 > >>

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：