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

71 篇 会议
2 篇 期刊文献
1 册 图书

馆藏范围

74 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

62 篇 工学
- 57 篇 计算机科学与技术...
- 24 篇 软件工程
- 13 篇 控制科学与工程
- 8 篇 生物工程
- 7 篇 信息与通信工程
- 3 篇 机械工程
- 2 篇 仪器科学与技术
- 2 篇 冶金工程
- 2 篇 电子科学与技术（可...
- 2 篇 化学工程与技术
- 1 篇 光学工程
- 1 篇 材料科学与工程（可...
- 1 篇 电气工程
- 1 篇 交通运输工程
- 1 篇 农业工程
- 1 篇 安全科学与工程
29 篇 理学
- 24 篇 数学
- 9 篇 生物学
- 4 篇 统计学（可授理学、...
- 2 篇 物理学
- 2 篇 化学
13 篇 管理学
- 8 篇 图书情报与档案管...
- 7 篇 管理科学与工程(可...
- 7 篇 工商管理
2 篇 经济学
- 2 篇 应用经济学
2 篇 法学
- 2 篇 社会学
2 篇 教育学
- 2 篇 教育学
1 篇 农学
- 1 篇 作物学
1 篇 医学
- 1 篇 基础医学(可授医学...
- 1 篇 临床医学

主题

5 篇 data mining
3 篇 semantic segment...
3 篇 classification
2 篇 support vector m...
2 篇 deep learning
2 篇 pattern recognit...
2 篇 visualization
2 篇 genetic algorith...
2 篇 machine learning
2 篇 standards
2 篇 training
1 篇 data warehouse
1 篇 permutation code...
1 篇 table lookup
1 篇 fuzzy sets
1 篇 topic semantics
1 篇 intrusion detect...
1 篇 data warehouses
1 篇 adaptive systems
1 篇 mgo

机构

4 篇 univ loughboroug...
2 篇 school of softwa...
2 篇 departamento de ...
1 篇 department of co...
1 篇 univ appl facult...
1 篇 active perceptio...
1 篇 univ jaen dep co...
1 篇 inst teknol sepu...
1 篇 systems engineer...
1 篇 warsaw univ tech...
1 篇 tokyo ariake uni...
1 篇 doctoral program...
1 篇 exxonmobil resea...
1 篇 universidad de b...
1 篇 univ tecnol fed ...
1 篇 investigador pro...
1 篇 computer enginee...
1 篇 federal universi...
1 篇 department of ma...
1 篇 univ seville sev...

作者

4 篇 singh sameer
4 篇 camacho david
3 篇 lopes jose
2 篇 notsu akira
2 篇 herrera francisc...
2 篇 honda katsuhiro
2 篇 ichihashi hideto...
1 篇 salem mohamed ab...
1 篇 takasu atsuhiro
1 篇 chan tony f.
1 篇 gordon j
1 篇 li weichang
1 篇 gorawski marcin
1 篇 delgado-calle ca...
1 篇 zapata emilio l.
1 篇 leonessa alexand...
1 篇 li yang
1 篇 ye lingfei
1 篇 costa jose alfre...
1 篇 helian n

语言

73 篇 英文
1 篇 其他

检索条件"任意字段=11th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2010"

共 74 条记录，以下是1-10 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：

intelligent data engineering and automated learning, ideal 2010 - 11th international conference, Proceedings

Intelligent Data Engineering and Automated Learning, IDEAL 2...

引用

11th international conference on intelligent data engineering and automated learning, ideal 2010

ISBN: (纸本)3642153801

the proceedings contain 47 papers. the topics discussed include: large scale instance selection by means of a parallel algorithm;typed linear chain conditional random fields and their application to intrusion detection;generalized derivative based kernelized learning vector quantization;cost optimization of a localized irrigation system using genetic algorithms;dimension reduction for regression with bottleneck neural networks;gallbladder boundary segmentation from ultrasound images using active contour model;on the power of topological kernel in microarray-based detection of cancer;new application of graph mining to video analysis;towards automatic classification of Wikipedia content;investigating the behaviour of radial basis function networks in regression and classification of geospatial data;and interval filter: a locality-aware alternative to bloom filters for hardware membership queries by interval classification.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Pipeline for Semantic Segmentation of Large Railway Point Clouds 25th

Pipeline for Semantic Segmentation of Large Railway Point Cl...

引用

25th international conference on intelligent data engineering and automated learning

作者： Gabrielidis, Hugo Gatti, Filippo Vialle, Stephane Univ Paris Saclay LMPS Lab Mecan Paris Saclay UMR 9026 CNRS Cent SupelecENS Paris Saclay F-91190 Gif Sur Yvette France Univ Paris Saclay LISN Lab Interdisciplinaire Sci Numer CNRS F-91405 Orsay France Cent Supelec F-91192 Gif Sur Yvette France

ISBN: (纸本)9783031777301;9783031777318

this paper presents a novel deep-learning pipeline to segment large railway datasets with minimal manual annotation, notoriously time consuming. the pipeline adapts DINOv2 [11] for labeling point clouds, with tailored self-distillation pre-training and fine-tuning. the adopted transformer architecture successfully generalizes to multiple railway datasets, with a lightweight pipeline that outperforms manual labeling speed by a factor of 6, despite requiring a final segmentation check and correction. this groundbreaking achievement bridges the gap between the need for annotated point clouds in railway industry and the lack of publicly available annotated datasets.

关键词： 3D Point Cloud Deep learning Semantic Segmentation Large Scale data

来源：评论

学校读者我要写书评

暂无评论

Padel Two-Dimensional Tracking Extraction from Monocular Video Recordings 25th

Padel Two-Dimensional Tracking Extraction from Monocular Vid...

引用

25th international conference on intelligent data engineering and automated learning

作者： Novillo, Alvaro Acena, Victor Lancho, Carmen Cuesta, Marina De Diego, Isaac Martin Rey Juan Carlos Univ Data Sci Lab C Tulipan S-N Mostoles 28933 Spain

ISBN: (纸本)9783031777301;9783031777318

this study introduces a novel framework for the automatic two-dimensional tracking of padel games using monocular recordings. By integrating advanced Computer Vision and Deep learning techniques, our algorithm detects and tracks players, the court, and the ball. through homography, we accurately project detected player positions onto a two-dimensional court, enabling comprehensive tracking throughout the game. We tested the proposed algorithm using amateur video recordings of padel games found in literature. this approach remains user-friendly, cost-effective, and adaptable to various camera angles and lighting conditions. this makes it accessible to both amateur and professional players and coaches, providing a valuable tool for performance analysis. Additionally, the proposed framework holds potential for adaptation to other sports with minimal modifications, further broadening its applicability.

关键词： Computer Vision Padel Deep learning Court Detection Homography Applied Intelligence Tracking data

来源：评论

学校读者我要写书评

暂无评论

Coordination for Complex Road Conditions at Unsignalized Intersections: A MADDPG Method with Enhanced data Processing

Coordination for Complex Road Conditions at Unsignalized Int...

引用

11th international conference on Vehicle Technology and intelligent Transport Systems, VEHITS 2025

作者： Chen, Ruo Zhu, Yang Su, Hongye Ningbo Innovation Center Zhejiang University Ningbo315100 China College of Control Science and Engineering Zhejiang University Hangzhou310027 China

ISBN: (纸本)9789897587450

In this paper, we use deep reinforcement learning to enable connected and automated vehicles (CAVs) to drive in a intersection with human-driven vehicles. the multi-agent deep deterministic policy gradient (MADDPG) algorithm is improved to be more efficient for data processing, so that it can solve the problem of learning bottlenecks in complex environments, and use sliding control to execute control strategies. Finally, the feasibility of the method is verified in the simulation environment of CARLA. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： data reduction

来源：评论

学校读者我要写书评

暂无评论

Generalized Derivative Based Kernelized learning Vector Quantization

Generalized Derivative Based Kernelized Learning Vector Quan...

引用

11th international conference on intelligent data engineering and automated learning

作者： Schleif, Frank-Michael Villmann, thomas Hammer, Barbara Schneider, Petra Biehl, Michael Univ Bielefeld Dept Techn Univ Str 21-23 D-33615 Bielefeld Germany Univ Appl Faculty Math Natural & CS D-09648 Mittweida Germany Univ Groningen Johann Bernoulli Inst Math & CS NL-9700 Groningen Netherlands

ISBN: (纸本)9783642153808

We derive a novel derivative based version of kernelized Generalized learning Vector Quantization (KGLVQ) as an effective, easy to interpret, prototype based and kernelized classifier. It is called D-KGLVQ and we provide generalization error bounds, experimental results on real world data, showing that D-KGLVQ is competitive with KGLVQ and the SVM on UCI data and additionally show that automatic parameter adaptation for the used kernels simplifies the learning.

关键词： Vector quantization

来源：评论

学校读者我要写书评

暂无评论

Neural data Analysis and Reduction Using Improved Framework of Information-Preserving EMD

Neural Data Analysis and Reduction Using Improved Framework ...

引用

11th international conference on intelligent data engineering and automated learning

作者： Mehboob, Zareen Yin, Hujun Univ Manchester Manchester M13 9PL Lancs England

ISBN: (纸本)9783642153808

this paper presents several improvements to the framework of information-preserving empirical mode decomposition (EMD). the basic framework was presented in our previous work [1]. the method decomposes a non-stationary neural response into a number of oscillatory modes varying in information content. After the spectral information analysis only few modes, taking part in stimulus coding, are retrieved for further analysis. the improvements and enhancement have been proposed for the steps involved in information quantification and modes extraction. An investigation has also been carried out for compression of retrieved informative modes of the neural signal in order to achieve a lower bit rate using the proposed framework. Experimental results are presented.

关键词： Empirical mode decomposition

来源：评论

学校读者我要写书评

暂无评论

Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial data

Investigating the Behaviour of Radial Basis Function Network...

引用

11th international conference on intelligent data engineering and automated learning

作者： Guidali, Andrea Binaghi, Elisabetta Guglielmin, Mauro Pascale, Marco Univ Insubria Dept Comp Sci & Commun Via Mazzini 5 I-21100 Varese Italy Univ Insubria Dept Structural & Funct Biol I-21100 Varese Italy

ISBN: (纸本)9783642153808

this work investigates learning and generalisation capabilities of Radial Basis Function Networks used to solve function regression and classification tasks in the environmental context. In particular RBFN is applied to solve the problem of snow cover thickness estimation in which critical aspects such as minimal training condition, weak pattern description and inconsistency among data arise. the RBFN shows good performances and high flexibility in coping with regression, hard and soft classifications which are complementary tasks in the analysis of complex environmental phenomena.

关键词： Radial Basis Function Networks Regression Classification Fuzzy sets Geospatial data

来源：评论

学校读者我要写书评

暂无评论

Selection of Structures with Grid Optimization, in Multiagent data Warehouse

Selection of Structures with Grid Optimization, in Multiagen...

引用

11th international conference on intelligent data engineering and automated learning

作者： Gorawski, Marcin Bankowski, Slawomir Gorawski, Michal Silesian Tech Univ Gliwice Poland

ISBN: (纸本)9783642153808

the query optimization problem in data base and data warehouse management systems is quite similar. Changes to Joins sequences, projections and selections, usage of indexes, and aggregations are all decided during the analysis of an execution schedule. the main goal of these changes is to decrease the query response time. the optimization operation is often dedicated to a single node. this paper proposes optimization to grid or cluster data warehouses / databases. Tests were conducted in a multi-agent environment, and the optimization focused not only on a single node but on the whole system as well. A new idea is proposed here with multi-criteria optimization that is based on user-given parameters. Depending on query time, result admissible errors, and the level of system usage, task results were obtained along with grid optimization.

关键词： GRID data warehouse DWS MGO OLAP MAS approximate results

来源：评论

学校读者我要写书评

暂无评论

Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification

Interval Filter: A Locality-Aware Alternative to Bloom Filte...

引用

11th international conference on intelligent data engineering and automated learning

作者： Quislant, Ricardo Gutierrez, Eladio Plata, Oscar Zapata, Emilio L. Univ Malaga Dept Comp Architecture ETSI Informat E-29071 Malaga Spain

ISBN: (纸本)9783642153808

Bloom filters are data structures that can efficiently represent a set of elements providing operations of insertion and membership testing. Nevertheless, these filters may yield false positive results when testing for elements that have not been previously inserted. In general, higher false positive rates are expected for sets with larger cardinality with constant filter size. this paper shows that for sets where a distance metric can be defined, reducing the false positive rate is possible if elements to be inserted exhibit locality according to this metric. In this way, a hardware alternative to Bloom filters able to extract spatial locality features is proposed and analyzed.

关键词： data structures

来源：评论

学校读者我要写书评

暂无评论

Clustering and Visualizing SOM Results

Clustering and Visualizing SOM Results

引用

11th international conference on intelligent data engineering and automated learning

作者： Costa, Jose Alfredo F. Fed Univ Dept Elect Engn Natal RN Brazil

ISBN: (纸本)9783642153808

Self-organizing maps (SOM) had been used for input data quantization and visual display of data, an important property that does not exist in most of clustering algorithms. Effective data clustering using SOM involves two or three steps procedure. After proper network training, units can be clustered generating regions of neurons which are related to data clusters. the basic assumption relies on the data density approximation by the neurons through unsupervised learning. this paper presents a gradient-based SOM visualization method and compares it with U-matrix. It also discusses steps toward clustering using SOM and morphological operators. Results using benchmark datasets show that the new method is more robust to choice of parameters in the filtering phase than the conventional method. the paper also proposes an enhancing method to map visualization taking advantage of the neurons activity, which improve cluster detection especially in small maps.

关键词： data clustering visualization self-organizing maps

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8页 << < 1 2 3 4 5 6 7 8 > >>

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：