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

164 篇 会议
16 篇 期刊文献
14 册 图书

馆藏范围

194 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

118 篇 工学
- 110 篇 计算机科学与技术...
- 52 篇 软件工程
- 25 篇 电气工程
- 15 篇 信息与通信工程
- 9 篇 控制科学与工程
- 9 篇 生物工程
- 7 篇 生物医学工程（可授...
- 5 篇 仪器科学与技术
- 4 篇 机械工程
- 4 篇 光学工程
- 3 篇 动力工程及工程热...
- 3 篇 建筑学
- 3 篇 土木工程
- 2 篇 电子科学与技术（可...
- 2 篇 测绘科学与技术
- 2 篇 化学工程与技术
- 1 篇 冶金工程
- 1 篇 纺织科学与工程
60 篇 理学
- 43 篇 数学
- 17 篇 物理学
- 10 篇 生物学
- 7 篇 统计学（可授理学、...
- 2 篇 化学
- 2 篇 系统科学
22 篇 医学
- 21 篇 临床医学
- 2 篇 基础医学(可授医学...
11 篇 管理学
- 10 篇 图书情报与档案管...
2 篇 教育学
- 2 篇 教育学
2 篇 农学
- 2 篇 作物学
1 篇 文学
- 1 篇 外国语言文学
1 篇 艺术学

主题

54 篇 pattern recognit...
10 篇 pattern matching
7 篇 image segmentati...
7 篇 graph theory
6 篇 computer graphic...
6 篇 discrete mathema...
6 篇 artificial intel...
6 篇 image processing...
4 篇 machine learning
4 篇 data structures
4 篇 computer imaging...
3 篇 deep learning
3 篇 computational ef...
3 篇 graphic methods
3 篇 pattern recognit...
3 篇 semantics
3 篇 image processing
3 篇 algorithm analys...
2 篇 possibilistic cl...
2 篇 computer science

机构

3 篇 vienna universit...
2 篇 univ appl sci & ...
2 篇 medical universi...
2 篇 univ bern inst c...
2 篇 school of comput...
2 篇 osaka univ osaka
2 篇 aichi institute ...
2 篇 university of to...
2 篇 ensicaen cnrs um...
2 篇 human language t...
2 篇 vienna universit...
2 篇 cnr infm lamia i...
2 篇 univ lausanne ip...
2 篇 department of co...
2 篇 univ pisa dipart...
2 篇 pattern recognit...
1 篇 centre for patte...
1 篇 cnrs umr 6072 im...
1 篇 nanyang technolo...
1 篇 computer science...

作者

18 篇 kropatsch walter...
9 篇 haxhimusa yll
7 篇 bunke horst
6 篇 riesen kaspar
5 篇 ion adrian
4 篇 hancock edwin r.
4 篇 brun luc
3 篇 jiang xiaoyi
3 篇 yachida m
3 篇 de sousa samuel
3 篇 fischer andreas
3 篇 vento mario
3 篇 pasquale foggia
3 篇 mario vento
2 篇 foggia pasquale
2 篇 masulli f
2 篇 schnörr c
2 篇 massone am
2 篇 stauffer michael
2 篇 bunke h

语言

192 篇 英文
2 篇 中文

检索条件"任意字段=5th International Workshop on Graph-Based Representations in Pattern Recognition"

共 194 条记录，以下是111-120 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：

recognition of facial expressions using HMM with continuous output probabilities

Recognition of facial expressions using HMM with continuous ...

引用

5th IEEE international workshop on Robot and Human Communication (RO-MAN 96)

作者： Otsuka, T Ohya, J ATR Media Integration & Communications Research Lab Kyoto Japan

ISBN: (纸本)0780332539

Facial expression recognition is an important technology fundamental to realize intelligent image coding systems and advanced malt-machine interfaces an visual communication systems. In computer vision field, many techniques have been developed to recognize facial expressions. However, most of those techniques are based on static features extracted from one or two still images. those techniques are not robust against noise and cannot recognize subtle changes in facial expressions. In this paper we use hidden Markov models (H-MM) with continuous output probabilities to extract a temporal pattern of facial motion. In order to improve the recognition performance, we propose a new feature obtained from wavelet transform coefficients. For the evaluation, we use 180 image sequences taken from three male subjects. Using these image sequences, the recognition rate for user trained mode achieves 98% compared with 84% using our previous method. the recognition rate for user independent mode achieves 84% when the expressions are restricted to four expressions.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

A New Approach for Industrial Diagnosis by Neuro-Fuzzy systems: Application to Manufacturing System

A New Approach for Industrial Diagnosis by Neuro-Fuzzy syste...

引用

5th international Conference on Integrated Modeling and Analysis in Applied Control and Automation (IMAACA 2011)

作者： Mandaoui, Rafik Mouss, Hayet Mouss, Djamal Univ Batna Lab Automat & Prod 1 Rue Chahid Boukhlouf Batna 05000 Algeria

ISBN: (纸本)9788890372476

In this study we propose a strategy for the follow-up of the process behavior and detection of failures. An approach of industrial diagnosis based on the statistical pattern recognition Neuro-Fuzzy being based on a digital representation and symbolic system of the forms is implemented. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. this software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. the system selected is the workshop of SCIMAT clinker, cement factory in Algeria.

关键词： Diagnosis artificial neuronal networks fuzzy logic Neuro-fuzzy systems pattern recognition FMEAC

来源：评论

学校读者我要写书评

暂无评论

Self-organizing maps for time series

Self-organizing maps for time series

引用

5th workshop on Self-Organizing Maps, WSOM 2005

作者： Hammer, Barbara Micheli, Alessio Neubauer, Nicolas Sperduti, Alessandro Strickert, Marc Clausthal University of Technology Computer Science Institute Clausthal-Zellerfeld Germany Università di Pisa Dipartimento di Informatica Pisa Italy University of Osnabrück Institute of Cognitive Science Osnabrück Germany Università di Padova Dipartimento di Matematica Pura ed Applicata Padova Italy Institute of Plant Genetics and Crop Plant Research Gatersleben Pattern Recognition Group Gatersleben Germany

We review a recent extension of the self-organizing map (SOM) for temporal structures with a simple recurrent dynamics leading to sparse representations, which allows an efficient training and a combination with arbitrary lattice structures. We discuss its practical applicability and its theoretical properties. Afterwards, we put the approach into a general framework of recurrent unsupervised models. this generic formulation also covers a variety of well-known alternative approaches including the temporal Kohonen map, the recursive SOM, and SOM for structured data. based on this formulation, mathematical properties of the models are investigated. Interestingly, the dynamic can be generalized from sequences to more general tree structures thus opening the way to unsupervised processing of general data structures.

关键词： Self organizing maps

来源：评论

学校读者我要写书评

暂无评论

Critical Radical Analysis Network for Chinese Character recognition 26

Critical Radical Analysis Network for Chinese Character Reco...

引用

26th international Conference on pattern recognition / 8th international workshop on Image Mining - theory and Applications (IMTA)

作者： Luo, Guo-Feng Yin, Hua-Yi Wang, Da-Han Zhang, Xu-Yao Zhu, Shun-Zhi Xiamen Univ Technol Sch Comp & Informat Engn Xiamen 361024 Peoples R China Fujian Key Lab Pattern Recognit & Image Understan Xiamen 361024 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Chinese Acad Sci Natl Lab Pattern Recognit NLPR Inst Automat Beijing Peoples R China

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

Zero-shot learning is a challenging problem in many tasks due to the lack of training samples of the unseen classes. the radical-based zero-shot Chinese character recognition methods treat Chinese characters as a combination of radicals and structures, and recognize Chinese characters by identifying the radicals and structures contained in them. Current approaches generally treat the contribution of all radicals to Chinese character recognition as the same, and the recognition results rely on the network's ability to recognize radicals and their corresponding position information, ignoring the potential value of radicals themselves in eliminating the uncertainty of Chinese characters. In this paper, we model the problem of radical-based Chinese character recognition as an uncertainty elimination problem and propose a Critical Radical Analysis Network (CRAN) to explore the Ideographic Description Sequence (IDS) information for zero-shot Chinese character recognition. Specifically, we propose a novel method to compute the critical values of radicals based on information theory using the predefined Chinese character IDS dictionary. In recognition, we use an iterative approach to translate the predicted radical sequence to target Chinese characters. that is, the radicals of the predicted sequence are sorted in descending order of the critical value, and then the radicals are continuously selected in this order as the information obtained to eliminate the uncertainty of the Chinese character until the character is recognized. We conduct experiments on the CTW, CASIA-AHCDB, and CASIA-HWDB datasets. the experimental results show that the proposed method improves the ability of recognizing unseen Chinese characters, demonstrating the effectiveness of the proposed method.

关键词： Zero-shot learning Chinese character recognition

来源：评论

学校读者我要写书评

暂无评论

Not Everybody Speaks RDF: Knowledge Conversion between Different Data representations 5

Not Everybody Speaks RDF: Knowledge Conversion between Diffe...

引用

5th international workshop on Knowledge graph Construction, KGCW 2024

作者： Scrocca, Mario Carenini, Alessio Grassi, Marco Comerio, Marco Celino, Irene Cefriel Politecnico di Milano Milan Italy

Knowledge representation in RDF guarantees shared semantics and enables interoperability in data exchanges. Various approaches have been proposed for RDF knowledge graph construction, with declarative mapping languages emerging as the most reliable and reproducible solutions. However, not all information systems can understand and process data encoded as RDF. In these scenarios, to guarantee seamless communication there is a need for a further conversion of RDF graphs to one or more target data formats and models. Existing solutions for the declarative lifting of data to RDF are not able to effectively support knowledge conversion towards a generic output. based on an examination of existing mapping languages and processors for RDF knowledge graph construction, we define a reference workflow supporting a knowledge conversion process between different data representations. the proposed workflow is validated by the mapping-template tool, an open-source implementation based on a popular template engine. the template-based mapping language enables the definition of mappings without requiring prior knowledge of RDF and provides flexibility for the target output. the tool is evaluated qualitatively, considering common challenges in the declarative specification of mappings, and quantitatively, considering performance and scalability. © 2024 Copyright for this paper by its authors.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

Fractal features in image recognition

Fractal features in image recognition

引用

5th Int. workshop on Digital Image Processing and Computer graphics (DIP-94)

作者： Polikarpova, N. Scientific Council Cybernetics Moscow Russia

the paper is devoted to image features based on fractal dimension of a set. the algorithm for calculation of grid empirical fractal dimension (GEFD) of a gray-level image is introduced. the properties of GEFD are inve... 详细信息

ISBN: (纸本)0819417076

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Quadratic Kernel Learning for Interpolation Kernel Machine based graph Classification 13th

Quadratic Kernel Learning for Interpolation Kernel Machine ...

引用

13th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2023

作者： Zhang, Jiaqi Liu, Cheng-Lin Jiang, Xiaoyi Faculty of Mathematics and Computer Science University of Münster Einsteinstrasse 62 Münster48149 Germany National Laboratory of Pattern Recognition Institute of Automation of Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing10049 China

ISBN: (纸本)9783031427947

Interpolating classifiers interpolate all the training data and thus have zero training error. Recent research shows their fundamental importance for high-performance ensemble techniques. Interpolation kernel machines belong to the class of interpolating classifiers and do generalize well. they have been demonstrated to be a good alternative to support vector machine for graph classification. In this work we further improve their performance by considering multiple kernel learning. We establish a general scheme for achieving this goal. the current experimental work is done using quadratic kernel combination. Our experimental results demonstrate the performance boosting potential of our approach against the use of individual graph kernels. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

9th Mining Humanistic Data workshop, MHDW 2020, and the 5th workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020, held as parallel events of the 16th IFIP WG 12.5 international Conference on Artificial Intelligence Applications and Innovations, AIAI 2020

9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th ...

引用

9th Mining Humanistic Data workshop, MHDW 2020, and the 5th workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020, held as parallel events of the 16th IFIP WG 12.5 international Conference on Artificial Intelligence Applications and Innovations, AIAI 2020

ISBN: (纸本)9783030491895

the proceedings contain 21 papers. the special focus in this conference is on Mining Humanistic Data. the topics include: threat Landscape of Next Generation IoT-Enabled Smart Grids;towards a Smart Port: the Role of the Telecom Industry;a graph-based Extension for the Set-based Model Implementing Algorithms based on Important Nodes;a Sentiment-based Hotel Review Summarization Using Machine Learning Techniques;an Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement;fake News Detection Regarding the Hong Kong Events from Tweets;improving Movie Recommendation Systems Filtering by Exploiting User-based Reviews and Movie Synopses;the Converging Triangle of Cultural Content, Cognitive Science, and Behavioral Economics;application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window;A New Approach to 5G and MEC Integration;fingerprints recognition System-based on Mobile Device Identification Using Circular String pattern Matching Techniques;mining and Analysis of Air Quality Data to Aid Climate Change;business Aspects of the Neutral Host Model: the Immersive Video Services Case;combined 5G-based Video Production and Distribution in a Crowded Stadium Event;dynamic Network Slicing: Challenges and Opportunities;dynamic Resource Allocation and Computation Offloading for Edge Computing System;Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures;on the Prediction of Future User Connections based on Historical Records in Wireless Networks;Programmable Edge-to-Cloud Virtualization for 5G Media Industry: the 5G-MEDIA Approach.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Active perception system for recognition of 3D objects in image sequences

Active perception system for recognition of 3D objects in im...

引用

Proceedings of the 1998 5th international workshop on Advanced Motion Control, AMC

作者： Okamoto Jr., Jun Milanova, Mariofanna Escola Politecnica da Universidade de Sao Paulo Sao Paulo Brazil

the authors describe an active 3D object recognition system that can learn complex 3D objects completely unsupervised and that can recognize previously learnt objects from different views. First a decision of which is the best next view is taken. the system- developed for this task is an iterative active perception system that executes the acquisition of several views of the object, builds a stochastic 3D model of the object and decides is the best next view to be acquired, based on an entropy measure. In this paper, we are focusing on a module for the recognition of objects in image sequences. We evaluate the optical flow in the sequence and extract a set of invariant features. As a pattern recognizer we suggest the Cellular Neural Network (CNN) architecture and generate an associative memory. the CNN paradigm is considered as a unifying model for spatio-temporal properties of the visual system.

关键词： pattern recognition systems

来源：评论

学校读者我要写书评

暂无评论

36th international Conference on Conceptual Modeling, ER 2017 held in Conjuction with the 3rd international workshop on Modeling for Ambient Assistance and Healthy Ageing, AHA 2017, 6th international workshop on Modeling and Management of Big Data, MoBiD 2017, 4th international workshop on Conceptual Modeling in Requirements and Business Analysis, MREBA 2017, 5th international workshop on Ontologies and Conceptual Modeling, OntoCom 2017 and 4th workshop on Quality of Models and Models of Quality, QMMQ 2017

36th International Conference on Conceptual Modeling, ER 201...

引用

36th international Conference on Conceptual Modeling, ER 2017 held in Conjuction with the 3rd international workshop on Modeling for Ambient Assistance and Healthy Ageing, AHA 2017, 6th international workshop on Modeling and Management of Big Data, MoBiD 2017, 4th international workshop on Conceptual Modeling in Requirements and Business Analysis, MREBA 2017, 5th international workshop on Ontologies and Conceptual Modeling, OntoCom 2017 and 4th workshop on Quality of Models and Models of Quality, QMMQ 2017

ISBN: (纸本)9783319706245

the proceedings contain 22 papers. the special focus in this conference is on Conceptual Modeling. the topics include: Towards an ontology for strategic decision making: the Case of quality in rapid software development projects;detecting bad smells of refinement in goal-oriented requirements analysis;Requirements engineering for data warehouses (RE4DW): From strategic goals to multidimensional model;towards formal strategy analysis with goal models and semantic web technologies;assisting process modeling by identifying business process elements in natural language texts;Using multidimensional concepts for detecting problematic Sub-KPIs in analysis systems;automatically annotating business process models with ontology concepts at design-time;OPL-ML: A modeling language for representing ontology pattern languages;Evaluating quality issues in BPMN models by extending a technical debt software platform;data modelling for dynamic monitoring of vital signs: Challenges and perspectives;utility-driven data management for data-intensive applications in fog environments;Assessing the positional planimetric accuracy of DBpedia georeferenced resources;Assessing the completeness evolution of DBpedia: A case study;towards care systems using model-driven adaptation and monitoring of autonomous multi-clouds;clustering event traces by behavioral similarity;goal-based selection of visual representations for big data analytics;A four V’s design approach of NoSQL graph databases;towards efficient and informative omni-channel customer relationship management;stream clustering of chat messages with applications to twitch streams;towards consistent demarcation of enterprise design domains.

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20页 << < 8 9 10 11 12 13 14 15 16 17 > >>

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：