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

550 篇 会议
28 篇 期刊文献
7 册 图书

馆藏范围

585 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

470 篇 工学
- 425 篇 计算机科学与技术...
- 199 篇 软件工程
- 110 篇 电气工程
- 67 篇 信息与通信工程
- 45 篇 生物工程
- 42 篇 生物医学工程（可授...
- 26 篇 控制科学与工程
- 20 篇 光学工程
- 13 篇 仪器科学与技术
- 11 篇 机械工程
- 10 篇 化学工程与技术
- 9 篇 交通运输工程
- 8 篇 电子科学与技术（可...
- 7 篇 土木工程
140 篇 理学
- 69 篇 数学
- 56 篇 生物学
- 33 篇 物理学
- 24 篇 统计学（可授理学、...
- 19 篇 系统科学
- 8 篇 化学
90 篇 管理学
- 63 篇 图书情报与档案管...
- 35 篇 管理科学与工程(可...
- 19 篇 工商管理
46 篇 医学
- 36 篇 临床医学
- 22 篇 基础医学(可授医学...
- 13 篇 药学(可授医学、理...
- 7 篇 特种医学
- 6 篇 公共卫生与预防医...
11 篇 法学
- 9 篇 社会学
11 篇 教育学
- 10 篇 教育学
8 篇 经济学
6 篇 农学

主题

74 篇 machine learning
55 篇 data mining
36 篇 pattern recognit...
33 篇 deep learning
20 篇 feature extracti...
18 篇 artificial intel...
16 篇 support vector m...
15 篇 learning systems
11 篇 image classifica...
9 篇 training
8 篇 neural networks
8 篇 face recognition
8 篇 manifold learnin...
8 篇 supervised learn...
7 篇 pattern classifi...
7 篇 big data
7 篇 clustering algor...
7 篇 classification (...
7 篇 machine learning...
7 篇 data models

机构

4 篇 ukrainian cathol...
3 篇 harbin inst tech...
3 篇 guilin univ elec...
3 篇 fujian univ tech...
3 篇 college of compu...
3 篇 kunming univ col...
3 篇 nanjing univ sci...
3 篇 concordia univ d...
2 篇 shanghai jiao to...
2 篇 australian e-hea...
2 篇 telangana hydera...
2 篇 key lab data gov...
2 篇 idiap ch-1920 ma...
2 篇 department of ma...
2 篇 univ toronto dep...
2 篇 univ montreal di...
2 篇 chitkara univers...
2 篇 natl univ singap...
2 篇 pattern analysis...
2 篇 univ katolik ind...

作者

3 篇 li junbao
3 篇 maier andreas
3 篇 bengio s
3 篇 deepa r.
3 篇 deng fei
3 篇 pan jeng-shyang
3 篇 hu cong
3 篇 zhang daoqiang
3 篇 amelio alessia
3 篇 maier-hein klaus
3 篇 he chunhui
2 篇 vrahatis aristid...
2 篇 jin zhong
2 篇 collobert r
2 篇 tax dmj
2 篇 sharma r
2 篇 cilia nicole dal...
2 篇 fontanella franc...
2 篇 genov r
2 篇 stiefelhagen rai...

语言

568 篇 英文
12 篇 中文
9 篇 其他
1 篇 俄文

检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"

共 585 条记录，以下是251-260 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：

A Page-Based Reject Option for Writer Identification in Medieval Books 2nd

A Page-Based Reject Option for Writer Identification in Medi...

引用

2nd international workshop on Recent Advances in Digital Security: Biometrics and Forensics, BioFor 2019, 1st international workshop on pattern recognition for Cultural Heritage, PatReCH 2019, 1st international workshop eHealth in the Big data and Deep learning Era, e-BADLE 2019, international workshop on Deep Understanding Shopper Behaviors and Interactions in Intelligent Retail Environments, DEEPRETAIL 2019 and Industrial session held at the 20th international Conference on Image Analysis and Processing, ICIAP 2019

作者： Cilia, Nicole Dalia De stefano, Claudio Fontanella, Francesco Marrocco, Claudio Molinara, Mario Scotto di Freca, Alessandra University of Cassino and Southern Lazio Via G. Di Biasio 43 CassinoFR Italy

ISBN: (纸本)9783030307530

One main goal of paleographers is to identify the different writers who wrote a given manuscript. Recently, paleographers are starting to use digital tools which provide new and more objective ways to analyze ancient documents. On the other hand, in the last few years, deep learning techniques have been applied to many domains and to overcome its requirement of a large amount of labeled data, transfer learning has been used. This latter approach uses previously trained large deep networks as starting points to solve specific classification problems. In this paper, we present a novel approach based on deep transfer learning to implement a reject option for the recognition of the writers in medieval documents. The implemented option is page-based and considers the row labels provided by the trained deep network to estimate the class probabilities. The proposed approach has been tested on a set of digital images from a Bible of the XII century. The achieved results confirmed the effectiveness of the proposed approach. © 2019, Springer Nature Switzerland AG.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Intelligent Planning of Power Transmission and Transformation Projects Based on AI and Multi-source Heterogeneous data Integration 24

Intelligent Planning of Power Transmission and Transformatio...

引用

1st international Conference on Image Processing machine learning and pattern recognition

作者： Qu, Zhanfei Dong, Gang Sun, Qigang He, Chunhui Lu, Ling State Grid Shandong Elect Power Co Econ & Technol Res Inst Beijing Peoples R China State Grid Shandong Elect Power Co Beijing Peoples R China

ISBN: (纸本)9798400707032

The acceleration of smart grid construction imposes higher demands on the intelligent planning of power transmission and transformation projects. To address the inefficiencies and high costs in existing planning methods, this paper proposes an intelligent planning approach based on multi-source heterogeneous data integration and artificial intelligence. By integrating multi-source heterogeneous data to analyze on-site information, and utilizing Bayesian networks and Convolutional Neural Networks with Attention Mechanisms (CNNAM), the planning and construction processes of power transmission and transformation projects are optimized. This approach significantly improves the accuracy and reliability of cost estimation, providing strong data support and technical assurance for the intelligent planning of power transmission and transformation projects, thereby making the planning process more effective and practical.

关键词： Smart Grid Intelligent Planning Multi-Source Heterogeneous data Bayesian Networks Convolutional Neural Networks

来源：评论

学校读者我要写书评

暂无评论

1st international workshop on Multiple Classifier Systems, MCS 2000

1st International Workshop on Multiple Classifier Systems, M...

引用

1st international workshop on Multiple Classifier Systems, MCS 2000

ISBN: (纸本)3540677046

The proceedings contain 38 papers. The special focus in this conference is on Multiple Classifier Systems. The topics include: Ensemble methods in machine learning;experiments with classifier combining rules;a survey of sequential combination of word recognizers in handwritten phrase recognition at CEDAR;multiple classifier combination methodologies for different output levels;a mathematically rigorous foundation for supervised learning;implementations and theoretical issues;some results on weakly accurate base learners for boosting regression and classification;complexity of classification problems and comparative advantages of combined classifiers;effectiveness of error correcting output codes in multiclass learning problems;combining fisher linear discriminants for dissimilarity representations;a learning method of feature selection for rough classification;analysis of a fusion method for combining marginal classifiers;a hybrid projection based and radial basis function architecture;combining multiple classifiers in probabilistic neural networks;supervised classifier combination through generalized additive multi-model;dynamic classifier selection;boosting in linear discriminant analysis;different ways of weakening decision trees and their impact on classification accuracy of DT combination;applying boosting to similarity literals for time series classification;boosting of tree-based classifiers for predictive risk modeling in GIS;a new evaluation method for expert combination in multi-expert system designing;diversity between neural networks and decision trees for building multiple classifier systems;self-organizing decomposition of functions;classifier instability and partitioning;a hierarchical multiclassifier system for hyperspectral data analysis and consensus based classification of multisource remote sensing data.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Anomaly Detection System using Resource pattern learning

Anomaly Detection System using Resource Pattern Learning

引用

1st international workshop on Software Technologies for Future Dependable Distributed Systems

作者： Ohno, Yuki Sugaya, Midori van der Zee, Andrej Nakajima, Tatsuo Waseda Univ Dept Comp Sci & Engn Tokyo Japan Japan Sci & Technol Agcy Dependable Embedded OS Ctr Tokyo Japan

ISBN: (纸本)9781424435654

In this paper, Anomaly Detection by Resource Monitoring (Ayaka), a novel lightweight anomaly and fault detection infrastructure, is presented for Information Appliances. Ayaka provides a general monitoring method for detecting anomalies using only resource usage information on systems independent of its domain, target application and programming languages. Ayaka modifies the kernel to detect faults and uses a completely application black-box approach based on machine learning methods. It uses the clustering method to quantize the resource usage vector data and learn the normal patterns with Hidden Markov Model. In the running phase, Ayaka finds anomalies by comparing the application resource usage with learned model. The evaluation experiment indicates that our prototype system is able to detect anomalies, such as SQL injection and buffer overrun, without significant overheads.

关键词： Anomaly Detection Dependability Hidden Markov Model machine learning

来源：评论

学校读者我要写书评

暂无评论

A Multimodal Framework for Automated Teaching Quality Assessment of One-to-many Online Instruction Videos 26

A Multimodal Framework for Automated Teaching Quality Assess...

引用

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

作者： Pan, Yueran Wu, Jiaxin Ju, Ran Zhou, Ziang Gu, Jiayue Zeng, Songtian Yuan, Lynn Li, Ming Wuhan Univ Sch Comp Sci Wuhan Hubei Peoples R China Duke Kunshan Univ Ctr Teaching & Learning Kunshan Jiangsu Peoples R China Duke Kunshan Univ Data Sci Res Ctr Kunshan Jiangsu Peoples R China Fumi Hlth & Technol LLC Hunan Fujian Peoples R China

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

In the post-pandemic era, online courses have been adopted universally. Manually assessing online course teaching quality requires significant time and professional pedagogy experience. To address this problem, we design an evaluation protocol and propose a multimodal machine learning framework1 for automated teaching quality assessment of one-to-many online instruction videos. Our framework evaluates online teaching quality from five aspects, namely Clarity, Classroom interaction, Technical management of online teaching, Empathy, and Time management. Our method includes mid-level behavior feature extraction, high-level interpretable feature extraction, and supervised learning prediction. Our automated multimodal teaching quality assessment system achieves comparable performance to human annotators on our one-to-many online instruction videos. For binary classification, the best average accuracy of five aspects is 0.898. For regression, the best average means square error is 0.527 on a 0-10 scale.

关键词： Teaching Quality Assessment Multimodal Behavior Coding Interptretable Feature Extraction Speaker Diarization Emotion recognition

来源：评论

学校读者我要写书评

暂无评论

Integrity verification of cloud-hosted data analytics computations 12

Integrity verification of cloud-hosted data analytics comput...

引用

1st international workshop on Cloud Intelligence, Cloud-I 2012

作者： Wang, Hui Department of Computer Science Stevens Institute of Technology Hoboken NJ 07030 United States

ISBN: (纸本)9781450315968

In this position paper, we present efficient and practical integrity verification techniques that check whether the un-trusted cloud has returned correct result of outsourced data analytics computations. We consider the computation of summation form that is used in a large class of machine learning and data mining problems. We discuss our verification techniques for both non-collusive and collusive malicious workers in MapReduce. Copyright 2012 ACM.

关键词： Cloud analytics

来源：评论

学校读者我要写书评

暂无评论

AI4LEGAL-KGSUM 2022 - Joint Proceedings of the 3th international workshop on Artificial Intelligence Technologies for Legal Documents and the 1st international workshop on Knowledge Graph Summarization, co-located with the 21st international Semantic Web Conference, ISWC 2022

AI4LEGAL-KGSUM 2022 - Joint Proceedings of the 3th Internati...

引用

3rd international workshop on Artificial Intelligence Technologies for Legal Documents and the 1st international workshop on Knowledge Graph Summarization, AI4LEGAL-KGSUM 2022

The proceedings contain 14 papers. The topics discussed include: an anonymization tool for open data publication of legal documents;building and analyzing the Brazilian legal knowledge graph;introduction of artificial intelligence in Belgian court: failures, challenges and opportunities;LawSampo portal and data service for publishing and using legislation and case law as linked open data on the semantic web;finding case law: leveraging machine learning research to enhance public access to UK judgments;evaluation of data augmentation for named entity recognition in the German legal domain;towards building a legal virtual assistant based on knowledge graphs;an Indian court decision annotated corpus and knowledge graph;and summaries of knowledge graph entities: first steps to measure the relevance of symptoms to infer diseases.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Automatic chord recognition from audio using a supervised HMM trained with audio-from-symbolic data

Automatic chord recognition from audio using a supervised HM...

引用

1st ACM workshop on Audio and Music Computing for Multimedia, AMCMM'06, co-located with the 2006 ACM international Multimedia Conference

作者： Lee, Kyogu Slaney, Malcolm Center for Computer Research in Music and Acoustics Music Department Stanford University Yahoo Research Sunnyvale CA 94089 United States

ISBN: (纸本)1595935010

A novel approach for obtaining labeled training data is presented to directly estimate the model parameters in a supervised learning algorithm for automatic chord recognition from the raw audio. To this end, harmonic analysis is first performed on symbolic data to generate label files. In paral-lel, we synthesize audio data from the same symbolic data, which are then provided to a machine learning algorithm along with label files to estimate model parameters. Experimental results show higher performance in frame-level chord recognition than the previous approaches. © 2006 ACM.

关键词： Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Classification of emotional states in a Woz scenario exploiting labeled and unlabeled bio-physiological data

Classification of emotional states in a Woz scenario exploit...

引用

1st IAPR-TC3 workshop on Partially Supervised learning, PSL 2011

作者： Schels, Martin Kächele, Markus Hrabal, David Walter, steffen Traue, Harald C. Schwenker, Friedhelm Institute of Neural Information Processing University of Ulm Germany Medical Psychology University of Ulm Germany

ISBN: (纸本)9783642282577

In this paper, a partially supervised machine learning approach is proposed for the recognition of emotional user states in HCI from bio-physiological data. To do so, an unsupervised learning preprocessing step is integrated into the training of a classifier. This makes it feasible to utilize unlabeled data or - as it is conducted in this study - data that is labeled in others than the considered categories. Thus, the data is transformed into a new representation and a standard classifier approach is subsequently applied. Experimental evidences that such an approach is beneficial in this particular setting is provided using classification experiments. Finally, the results are discussed and arguments when such an partially supervised approach is promising to yield robust and increased classification performances are given. © 2012 Springer-Verlag.

关键词： Supervised learning

来源：评论

学校读者我要写书评

暂无评论

Accessing multimodal meeting data: Systems, problems and possibilities

Accessing multimodal meeting data: Systems, problems and pos...

引用

1st international workshop on machine learning for Multimodal Interaction

作者： Tucker, S Whittaker, S Univ Sheffield Dept Informat Studies Sheffield S1 4DP S Yorkshire England

ISBN: (纸本)354024509X

As the amount of multimodal meetings data being recorded increases, so does the need for sophisticated mechanisms for accessing this data. This process is complicated by the different informational needs of users, as well as the range of data collected from meetings. This paper examines the current state of the art in meeting browsers. We examine both systems specifically designed for browsing multimodal meetings data and those designed to browse data collected from different environments, for example broadcast news and lectures. As a result of this analysis, we highlight potential directions for future research - semantic access, filtered presentation, limited display environments, browser evaluation and user requirements capture.

关键词： data processing

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59页 << < 22 23 24 25 26 27 28 29 30 31 > >>

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：