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

1,288 篇 会议
82 册 图书
36 篇 期刊文献

馆藏范围

1,406 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

852 篇 工学
- 650 篇 计算机科学与技术...
- 356 篇 软件工程
- 201 篇 电气工程
- 139 篇 信息与通信工程
- 104 篇 控制科学与工程
- 93 篇 生物医学工程（可授...
- 88 篇 生物工程
- 50 篇 光学工程
- 33 篇 电子科学与技术（可...
- 31 篇 机械工程
- 31 篇 化学工程与技术
- 26 篇 仪器科学与技术
- 13 篇 土木工程
- 12 篇 交通运输工程
- 11 篇 材料科学与工程（可...
- 11 篇 动力工程及工程热...
- 11 篇 建筑学
378 篇 理学
- 184 篇 数学
- 137 篇 物理学
- 103 篇 生物学
- 60 篇 统计学（可授理学、...
- 31 篇 化学
- 24 篇 系统科学
131 篇 管理学
- 80 篇 图书情报与档案管...
- 51 篇 管理科学与工程(可...
- 17 篇 工商管理
82 篇 医学
- 64 篇 临床医学
- 44 篇 基础医学(可授医学...
- 21 篇 药学(可授医学、理...
15 篇 教育学
- 12 篇 教育学
12 篇 农学
9 篇 法学
6 篇 文学
4 篇 艺术学
2 篇 经济学

主题

513 篇 pattern recognit...
75 篇 feature extracti...
60 篇 artificial intel...
43 篇 neural networks
37 篇 local binary pat...
36 篇 machine learning
35 篇 training
34 篇 computer imaging...
33 篇 face recognition
31 篇 pattern matching
29 篇 accuracy
28 篇 optical pattern ...
25 篇 support vector m...
25 篇 deep learning
25 篇 bioinformatics
24 篇 image processing
23 篇 image recognitio...
23 篇 image processing...
22 篇 data mining
21 篇 robustness

机构

15 篇 national laborat...
7 篇 computer vision ...
6 篇 institute of ima...
6 篇 fujian key labor...
6 篇 school of comput...
5 篇 fujian key labor...
5 篇 school of comput...
5 篇 school of inform...
5 篇 national key lab...
5 篇 faculty of compu...
4 篇 ist nazl fis nuc...
4 篇 tongji universit...
4 篇 ist nazl fis nuc...
4 篇 univ chicago il ...
4 篇 joint inst nucl ...
3 篇 china research a...
3 篇 university of er...
3 篇 indian statistic...
3 篇 indian institute...
3 篇 pattern recognit...

作者

13 篇 wang da-han
9 篇 pal umapada
7 篇 zhu shunzhi
6 篇 de-shuang huang
6 篇 maji pradipta
6 篇 chaudhuri b.b.
5 篇 du xia
5 篇 zong chengqing
5 篇 wu yun
5 篇 askar hamdulla
5 篇 shivakumara pala...
5 篇 lu tong
4 篇 glagolev v
4 篇 julie a. jacko
4 篇 maier andreas
4 篇 nakaya t
4 篇 hankiz yilahun
4 篇 shochet m
4 篇 giannetti p
4 篇 speer t

语言

1,390 篇 英文
10 篇 其他
6 篇 中文

检索条件"任意字段=5th International Conference on Pattern Recognition in Bioinformatics"

共 1406 条记录，以下是481-490 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：

No-reference wavelet based retinal image quality assessment 5th

No-reference wavelet based retinal image quality assessment

引用

5th Eccomas thematic conference on Computational Vision and Medical Image Processing, VipIMAGE 2015

作者： Abdel Hamid, L.S. El-Rafei, A. El-Ramly, S. Michelson, G. Hornegger, J. Electronics and Communications Department Misr International University Cairo Egypt Engineering Physics and Mathematics Department Ain Shams University Cairo Egypt Electronics and Communication Engineering Department Ain Shams University Cairo Egypt Department of Ophthalmology Friedrich-Alexander University Erlangen-Nuremberg Germany Pattern Recognition Laboratory Department of Computer Science Friedrich-Alexander University Erlangen-Nuremberg Germany

ISBN: (纸本)9781138029262

Retinal Image Quality Assessment (RIQA) is an essential preliminarily step in Automatic Retinal Screening Systems (ARSS) to avoid misdiagnosis of retinal disease. In this work, a no-reference wavelet based RIQA algorithm suitable for real-time ARSS is introduced. Retinal images are classified into good and bad quality images using two proposed metrics. these measures are extracted from the wavelet decomposition subbands of the image to reflect sharpness and contrast. Wavelet level and regional analyses are performed to determine the most relevant levels and retinal region to be used in the RIQA. the algorithm is tested on two publicly available datasets with different resolutions. Area under the ROC curve (AUC) of 1 and 0.985 are obtained for the low and high resolution datasets respectively with runtime ranging between 0.1 and 2 seconds depending on image resolution. Comparison with other RIQA algorithms shows superiority of the proposed algorithm in both performance and time. © 2016 Taylor & Francis Group, London.

关键词： Real time systems

来源：评论

学校读者我要写书评

暂无评论

5th international conference on Biomimetic and Biohybrid Systems, 2016

引用

5th international conference on Biomimetic and Biohybrid Systems, Living Machines 2016

ISBN: (纸本)9783319424163

the proceedings contain 61 papers. the special focus in this conference is on Biomimetic and Biohybrid Systems. the topics include: the natural bipeds, birds and humans;retina color-opponency based pursuit implemented through spiking neural networks in the neurorobotics platform;a two-fingered anthropomorphic robotic hand with contact-aided cross four-bar mechanisms as finger joints;living designs;a bio-inspired photopatterning method to deposit silver nanoparticles onto non conductive surfaces using spinach leaves extract in ethanol;wall following in a semi-closed-loop fly-robotic interface;sensing contact constraints in a worm-like robot by detecting load anomalies;head-mounted sensory augmentation device;computer-aided biomimetics;a neural network with central pattern generators entrained by sensory feedback controls walking of a bipedal model;towards unsupervised canine posture classification via depth shadow detection and infrared reconstruction for improved image segmentation accuracy;a bio-inspired model for visual collision avoidance on a hexapod walking robot;a hydraulic hybrid neuroprosthesis for gait restoration in people with spinal cord injuries;principal component analysis of two-dimensional flow vector fields on human facial skin for efficient robot face design;a cerebellar-based control architecture for a self-balancing robot;optimizing morphology and locomotion on a corpus of parametric legged robots;navigate the unknown;insect-inspired visual navigation for flying robots;towards educational human-robot symbiotic interaction;wasp-inspired needle insertion with low net push force and use of bifocal objective lens and scanning motion in robotic imaging systems for simultaneous peripheral and high resolution observation of objects.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dictionary based approach for facial expression recognition from static images 10

Dictionary based approach for facial expression recognition ...

引用

10th Indian conference on Computer Vision, Graphics and Image Processing, ICVGIP 2016

作者： Sharma, Krishan Rameshan, Renu School of Computing and Electrical Engineering Indian Institute of Technology MandiHimachal Pradesh India

We present a simple approach for facial expression recognition from images using the principle of sparse representation using a learned dictionary. Visual appearance based feature descriptors like histogram of oriented gradients (HOG), local binary patterns (LBP) and eigenfaces are used. We use Fisher discrimination dictionary which has discrimination capability in addition to being reconstructive. the classification is based on the fact that each expression class with in the dictionary spans a subspace and these subspaces have non-overlapping directions so that they are widely separated. Each test feature point has a sparse representation in the union of subspaces of dictionary formed by labeled training points. To check recognition performance of the proposed approach, extensive experimentation is done over Jaffee and CK databases. Results show that the proposed approach has better classification accuracy than state-of-the-art techniques. © Springer international Publishing AG 2017.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

Perceptive Invariance and Associative Memory Between Perception and Semantic Representation USER a Universal SEmantic Representation Implemented in a System on Chip (SoC) 5th

引用

5th international conference on Biomimetic and Biohybrid Systems (Living Machines)

作者： Pirim, Patrick Brain Vis Syst Paris France

ISBN: (纸本)9783319424170;9783319424163

USER (Universal SEmantic Representation) is a bio-inspired module implemented in a system on a chip (SoC), which builds a link between multichannel perception and semantic representation. the input data are projected into a generic bioinspired higher dimensional non-linear semantic space with high sparsity. A pooling of these semantic representations (global, dynamic and structural) is done automatically by a set of dynamic attractors embedding spatio-temporal histograms, being drastically more efficient than back-propagation. A supervised learning is used to build the association between the invariant multimodal semantic representations (histogram results) and the labels (`words'). the invariant recognition is achieve thanks to multichannel multiscale dynamic attractors and bilinear representations - imitating brain attentional processes. USER modules can be cascaded, allowing to work at different levels of abstraction (or complexity). Due to its low consumption, small size and minimal price, USER targets deep learning, robotics, and Internet of things (IoT) applications.

关键词： USER Invariant representation Dynamic attractor pattern recognition Semantic representation Associative memory Multi-sensory Deep learning Sparsity Embedded system SoC IoT

来源：评论

学校读者我要写书评

暂无评论

Character-Based LSTM-CRF with Radical-Level Features for Chinese Named Entity recognition

Character-Based LSTM-CRF with Radical-Level Features for Chi...

引用

5th international conference on Natural Language Processing and Chinese Computing (NLPCC) / 24th international conference on Computer Processing of Oriental Languages (ICCPOL)

作者： Dong, Chuanhai Zhang, Jiajun Zong, Chengqing Hattori, Masanori Di, Hui Chinese Acad Sci Natl Lab Pattern Recognit Inst Automat Beijing Peoples R China Toshiba China R&D Ctr Beijing Peoples R China

ISBN: (纸本)9783319504964;9783319504957

State-of-the-art systems of Chinese Named Entity recognition (CNER) require large amounts of hand-crafted features and domain-specific knowledge to achieve high performance. In this paper, we apply a bidirectional LSTM-CRF neural network that utilizes both character-level and radical-level representations. We are the first to use character-based BLSTM-CRF neural architecture for CNER. By contrasting the results of different variants of LSTM blocks, we find the most suitable LSTM block for CNER. We are also the first to investigate Chinese radical-level representations in BLSTM-CRF architecture and get better performance without carefully designed features. We evaluate our system on the third SIGHAN Bakeoff MSRA data set for simplfied CNER task and achieve state-of-the-art performance 90.95% F1.

关键词： BLSTM-CRF Radical features Named Entity recognition

来源：评论

学校读者我要写书评

暂无评论

Audio pattern recognition and mood detection system 5th

Audio pattern recognition and mood detection system

引用

5th international conference on Soft Computing for Problem Solving, SocProS 2015

作者： Tyagi, Priyanka Mehrotra, Abhishek Sharma, Shanu Kumar, Sushil Department of Computer Science and Engineering Amity School of Engineering and Technology Amity University NoidaUttar Pradesh India

ISBN: (纸本)9789811004476

Music is and has been an integral part of our society since time immemorial. It is a subtle display of a person’s emotions. Over the decades even though the way music is composed or heard has greatly evolved but what has remained constant is the entwined relationship it shares with mood. the kind of music one listens is to be governed solely by their mood at that instant. this paper proposes an automated and efficient method of classifying music on the basis of the mood it depicts, by extracting suitable features that show significant variation across songs. A database of 300 popular Bollywood songs was taken into consideration in which timbral and temporal features were extracted to classify songs into four moods: Happy, sad, relaxed and romantic. 200 songs were used to train the model by using Multilayer perceptron with backpropagation algorithm. the model exhibited an accuracy of 75% when tested over a set of 100 songs. © Springer Science+Business Media Singapore 2016.

关键词： Emotion recognition

来源：评论

学校读者我要写书评

暂无评论

Leaf recognition based on binary Gabor pattern and extreme learning machine 1

引用

17th Pacific-Rim conference on Multimedia, PCM 2016

作者： Wu, Huisi Liu, Jingjing Li, Ping Wen, Zhenkun College of Computer Science and Software Engineering Shenzhen University Shenzhen China Department of Mathematics and Information Technology The Hong Kong Institute of Education Hong Kong

ISBN: (数字)9783319488905

ISBN: (纸本)9783319488899

Automatic plant leaf recognition has been a hot research spot in the recent years, where encouraging improvements have been achieved in both recognition accuracy and speed. However, existing algorithms usually only extracted leaf features (such as shape or texture) or merely adopt traditional neural network algorithm to recognize leaf, which still showed limitation in recognition accuracy and speed especially when facing a large leaf database. In this paper, we present a novel method for leaf recognition by combining feature extraction and machine learning. To break the weakness exposed in the traditional algorithms, we applied binary Gabor pattern (BGP) and extreme learning machine (ELM) to recognize leaves. To accelerate the leaf recognition, we also extract BGP features from leaf images with an offline manner. Different from the traditional neural network like BP and SVM, our method based on the ELM only requires setting one parameter, and without additional fine-tuning during the leaf recognition. Our method is evaluated on several different databases with different scales. Comparisons with state-of-the-art methods were also conducted to evaluate the combination of BGP and ELM. Visual and statistical results have demonstrated its effectiveness. © Springer international Publishing AG 2016.

关键词： Plants (botany)

来源：评论

学校读者我要写书评

暂无评论

ACM international conference Proceeding Series

ACM International Conference Proceeding Series

引用

5th international conference on Network, Communication and Computing, ICNCC 2016

ISBN: (纸本)9781450347938

the proceedings contain 65 papers. the topics discussed include: feature selection and reduction for batik image retrieval;length-bounded hybrid CPU/GPU pattern matching algorithm for deep packet inspection;quality monitoring, analysis and evaluation of BDS B1I signal;weight measurement of holothuria scabra jaeger, 1833 utilizing the surface area of digitized image captured under water;bidirectional diffusion algorithm for image enhancement with local feature;graph clustering-based emerging event detection from Twitter data stream;an efficient approach for automatic number plate recognition for low resolution images;a forgery video detection algorithm for resolution promotion manipulations using frequency spectrum analysis;EaaS: available yet hidden infrastructure inside MSE;motion image de-blurring system based on the effectiveness parameters of point spread function;feature fusion methods for robust speech emotion recognition based on deep belief networks;sea-land segmentation based on template matching;security assessment of information system in hospital environment;fractional difference based hybrid model for resource prediction in cloud network;research of recognition system of web intrusion detection based on storm;analysis on the effect of term-document's matrix to the accuracy of latent-semantic-analysis-based cross-language plagiarism detection;TCAM-based packet classification using multi-stage scheme;a topic of interest-based approach on online social network services for information sharing;the real time endoscopic image analysis algorithm;and fault tolerance for web service based on component importance in service networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Car recognition using the bag of features method

Car recognition using the bag of features method

引用

IEEE international conference on Multimedia Computing and Systems (ICMCS)

作者： Ilias Kamal Jawad Oubaha ENSIAS Rabat Morocco

In this paper, we apply the bag of features method to the car make and model recognition problem. In our implementation of the method, we use the LARS algorithm to optimize the quadratic problem known as the Lasso and by doing so we generate the dictionary of words. that dictionary is then used in conjuction to an image database to obtain a feature vector (each image yields one feature vector), said feature vector is then fed to an supervised classification algorithm (in our case an SVM).

关键词： Dictionaries Automobiles Computer vision Image recognition Encoding pattern recognition Image coding

来源：评论

学校读者我要写书评

暂无评论

Collaborator Effort Optimisation in Multimodal Crowdsourcing for Transcribing Historical Manuscripts 3rd

Collaborator Effort Optimisation in Multimodal Crowdsourcing...

引用

5th Iberian SLTech Workshop / 3rd international conference on Advances in Speech and Language Technologies for Iberian Languages (IberSPEECH)

作者： Granell, Emilio Martinez-Hinarejos, Carlos-D. Univ Politecn Valencia Pattern Recognit & Human Language Technol Res Ctr Camino Vera S-N E-46022 Valencia Spain

ISBN: (纸本)9783319491691;9783319491684

Crowdsourcing is a powerful tool for massive transcription at a relatively low cost, since the transcription effort is distributed into a set of collaborators, and therefore, supervision effort of professional transcribers may be dramatically reduced. Nevertheless, collaborators are a scarce resource, which makes optimisation very important in order to get the maximum benefit from their efforts. In this work, the optimisation of the work load in the side of collaborators is studied in a multimodal crowdsourcing platform where speech dictation of handwritten text lines is used as transcription source. the experiments explore how this optimisation allows to obtain similar results reducing the number of collaborators and the number of text lines that they have to read.

关键词： Crowdsourcing framework Collaborator effort Speech recognition Document transcription

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141页 << < 45 46 47 48 49 50 51 52 53 54 > >>

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：