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

453 篇 会议
104 篇 期刊文献
12 篇 学位论文
11 册 图书

馆藏范围

580 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

466 篇 工学
- 322 篇 计算机科学与技术...
- 224 篇 电气工程
- 89 篇 软件工程
- 76 篇 信息与通信工程
- 54 篇 航空宇航科学与技...
- 43 篇 测绘科学与技术
- 38 篇 控制科学与工程
- 35 篇 仪器科学与技术
- 17 篇 电子科学与技术（可...
- 15 篇 机械工程
- 14 篇 光学工程
- 11 篇 材料科学与工程（可...
- 6 篇 生物医学工程（可授...
- 5 篇 动力工程及工程热...
- 4 篇 交通运输工程
- 4 篇 安全科学与工程
- 3 篇 建筑学
- 3 篇 土木工程
- 3 篇 化学工程与技术
279 篇 理学
- 234 篇 物理学
- 48 篇 数学
- 14 篇 统计学（可授理学、...
- 7 篇 系统科学
- 4 篇 化学
- 3 篇 地球物理学
- 3 篇 生物学
64 篇 医学
- 64 篇 临床医学
26 篇 管理学
- 16 篇 管理科学与工程(可...
- 14 篇 图书情报与档案管...
- 6 篇 工商管理
2 篇 军事学
1 篇 法学
1 篇 文学
1 篇 历史学
1 篇 农学

主题

92 篇 sensor fusion
86 篇 data fusion
80 篇 sensor data fusi...
34 篇 image fusion
34 篇 information fusi...
30 篇 sensors
22 篇 image processing
19 篇 target tracking
17 篇 neural networks
17 篇 wireless sensor ...
17 篇 sensor networks
14 篇 tracking
13 篇 fusion
13 篇 classification
12 篇 surveillance
10 篇 data processing
9 篇 signal processin...
9 篇 radar
9 篇 feature extracti...
9 篇 detection and tr...

机构

5 篇 university of ca...
5 篇 syracuse univ de...
4 篇 nova res inc ale...
3 篇 inria
3 篇 cnr-ieiit
3 篇 politecnico di t...
3 篇 naval res lab wa...
3 篇 chalmers univers...
3 篇 usn res lab wash...
3 篇 mit lincoln lab ...
3 篇 sichuan univ dep...
3 篇 stanford univ de...
3 篇 cnit
3 篇 dynetics inc.
3 篇 lockheed martin ...
2 篇 defence research...
2 篇 lockheed martin ...
2 篇 caltech jet prop...
2 篇 oak ridge nation...
2 篇 siemens corporat...

作者

8 篇 solaiman b
6 篇 varshney pk
6 篇 dasarathy bv
6 篇 dasarathy belur ...
6 篇 bosse eloi
4 篇 minor christian
4 篇 johnson kevin
4 篇 blasch erik
4 篇 hall david l.
4 篇 goebel k
4 篇 graham jacob l.
4 篇 petrovic v
4 篇 aarabi p
4 篇 rimland jeffrey ...
3 篇 lecours michel
3 篇 fortino giancarl...
3 篇 wide p
3 篇 braun jj
3 篇 minor christian ...
3 篇 lyons damian m.

语言

572 篇 英文
5 篇 中文
3 篇 其他

检索条件"任意字段=Sensor Fusion: Architectures, Algorithms and Applications II"

共 580 条记录，以下是381-390 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：

Population bias control for bagging k-NN experts

Population bias control for bagging <i>k</i>-<i>NN</i> exper...

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Alkoot, FM Kittler, J Univ Surrey Ctr Vis Speech & Signal Proc Guildford GU2 7XH Surrey England

ISBN: (纸本)0819440809

We investigate bagging of k - NN classifiers under varying set sizes. For certain set sizes bagging often under-performs due to population bias. We propose a modification to the standard bagging method designed to avoid population bias. The modification leads to substantial performance gains, especially under very small sample size conditions. The choice of the modification method used depends on whether prior knowledge exists or not. If no prior knowledge exists then insuring that all classes exist in the bootstrap set yields the best results.

关键词： bagging k-nearest neighbour modified product fusion bootstrap population bias

来源：评论

学校读者我要写书评

暂无评论

Fault detection and multi-classifier fusion for unmanned aerial vehicles (UAVs)

Fault detection and multi-classifier fusion for unmanned aer...

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Yan, WZ GE Corp R&D Niskayuna NY 12309 USA

ISBN: (纸本)0819440809

UAVs demand more accurate fault accommodation for their mission manager and vehicle control system in order to achieve a reliability level that is comparable to that of a piloted aircraft. This paper attempts to apply multi-classifier fusion techniques to achieve the necessary performance of the fault detection function for the Lockheed Martin Skunk Works (LMSW) UAV Mission Manager. Three different classifiers that meet the design requirements of the fault detection of the UAV are employed. The binary decision outputs from the classifiers are then aggregated using three different classifier fusion schemes, namely, majority vote, weighted majority vote, and Naive Bayes combination. All of the three schemes are simple and need no retraining. The three fusion schemes (except the majority vote that gives an average performance of the three classifiers') show the classification performance that is better than or equal to that of the best individual. The unavoidable correlation between the classifiers with binary outputs is observed in this study. We conclude that it is the correlation between the classifiers that limits the fusion schemes to achieve an even better performance.

关键词： fault detection classifier fusion classifier combination UAVs

来源：评论

学校读者我要写书评

暂无评论

Optimising multiresolution pixel-level image fusion

Optimising multiresolution pixel-level image fusion

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Petrovic, V Xydeas, C Denaro Telecommun Technol YU-11080 Zemun Yugoslavia

ISBN: (纸本)0819440809

A number of pixel level image fusion schemes have been proposed in the past which combine registered input sensor images into a single fused output image. The two general objectives that underpin the operations of these schemes are a) the transfer of all visually important information from input images into a fused image and b) the minimisation of undesirable distortions and artefacts which may be generated in the fused image. fusion is usually achieved by i) the "decomposition" of input images into representations of their spectral bands and ii) a "selection" process which transfers information from input bands to yield the required representation of a single fused output image. Furthermore, decomposition is often based on multiresolution pyramidal representations and the selection process operates on corresponding input image pyramidal levels using "selection templates" which focus on local spectral characteristics. The performance of such a multiresolution pixel level image fusion system depends primarily on the actual decomposition and selection algorithms used. Thus for a given decomposition/selection arrangement, fusion performance is dependent on the pyramid size (i.e. number of level) and template size. Pyramid and template sizes on the other hand greatly influence the system's computational complexity. This paper is concerned with the performance optimisation/characterisation of several multiresolution image fusion schemes, in general and with performance/complexity tradeoffs in particular. Performance is measured using a subjectively meaningful, objective fusion metric which has been proposed recently by the authors and which is based on the preservation of image edge information. Thus fusion systems based on derivatives of Gaussian low-pass pyramid and the Discrete Wavelet transform are examined and their performances versus decomposition/selection parameters are defined and compared. The performance/algorithmic complexity results presented for these mult

关键词： pixel-level image fusion multiresolution fusion fusion performance evaluation fusion complexity

来源：评论

学校读者我要写书评

暂无评论

Short memory fuzzy fusion image recognition schema employing spatial and Fourier descriptors

Short memory fuzzy fusion image recognition schema employing...

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Raptis, SN Tzafestas, SG Natl Tech Univ Athens Dept Elect & Comp Engn Intelligent Robot & Automat Lab GR-15773 Athens Greece

ISBN: (纸本)0819440809

Single images quite often do not bear enough information for precise interpretation due to a variety of reasons. Multiple image fusion and adequate integration recently became the state of the art in the pattern recognition field. In the paper presented here an enhanced multiple observation schema is discussed investigating improvements to the baseline fuzzy-probabilistic image fusion methodology. The first innovation introduced consists in considering only a limited but seemingly more effective part of the uncertainty information obtained by a certain time restricting older uncertainty dependencies and alleviating computational burden that is now needed for a short sequence (stored into memory) of samples. The second innovation essentially establishes a new variant to the method applying conditional uncertainty reasoning separately for each single feature instead of equally grouping them into feature-blind object hypotheses. Experiment settings include a sequence of independent views obtained by a camera being moved around the investigated object.

关键词： fuzzy sets feature fusion probabilistic fusion Fourier-texture descriptors

来源：评论

学校读者我要写书评

暂无评论

Performance limits for multi-platform scene-referenced navigation systems.

Performance limits for multi-platform scene-referenced navig...

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Ralph, JF Januarius, EM Smith, MI Edwards, KL Bernhardt, M Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ Merseyside England

ISBN: (纸本)0819440809

The accuracy of aircraft/weapon navigation systems has improved dramatically since the introduction of global positioning systems and terrain-referenced navigation systems into integrated navigation suites. Future improvements, in terms of reliability and accuracy, could arise from the inclusion of navigation systems based on the correlation of known ground features with imagery from a visual band or infrared sensor, often called scene matching and area correlation or scene-referenced navigation. This paper considers the use of multi-platform fusion techniques to improve on the performance of individual scene-referenced navigation systems. Consideration is also given to the potential benefits of multi-platform fusion for scene-referenced object localisation algorithms that could be used in association with infrared targeting aids.

关键词： visual navigation sensor fusion distributed sensor systems object localization

来源：评论

学校读者我要写书评

暂无评论

Multi-sensor feature fusion methods and results

Multi-sensor feature fusion methods and results

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Heagy, D Barnes, R Bechhoefer, E Mitre Corp MS W967 Mclean VA 22101 USA

ISBN: (纸本)0819440809

Analysts responsible for supporting time dominated threat decisions are faced with a growing volume of sensor data. Most efforts to increase discrimination among targets using multiple types of sensors encounter the same problems: sensor data are received in large volumes. sensor data are highly variable. Signature features are represented by many dimensions. Feature values are intercorrelated, random or not related to target differences. Decision rules for classifying new target data are difficult to define. This paper describes a new methodology for solving several problems: selecting signature features, reducing variability, increasing discrimination accuracy, and developing decision rules for classifying new target signatures. The results from using a combination of exploratory and multivariate statistical techniques show potential improvements over the traditional Dempster-Shafer approach. This project uses data from operational prototype sensors and vehicles of interest for threat analysis. Acoustic and seismic sensor data came from an unattended ground sensor and three military vehicles. Although the resulting algorithms are specific to the data set, the data screening and fusion methods tested in this project may be useful with other types of sensor and target data.

关键词： feature fusion multisensor classification data screening signal processing pattern recognition feature templates multivariate statistics Dempster-Shafer threat analysis

来源：评论

学校读者我要写书评

暂无评论

Development of a sensor integration strategy for robotic application based on geometric optimization

Development of a sensor integration strategy for robotic app...

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Nandi, GC Mitra, D Indian Sch Mines Dept Engn & Min Machinery Dhanbad 826004 Bihar India

ISBN: (纸本)0819440809

sensor fusion is an important technology, which is growing exponentially due to its tremendous application potential. Appropriate fusion technology is needed to be developed specially when a system requires redundant sensors to be used. More the redundancy in sensors, more is the computational complexity for controlling the system and more is its intelligence level. This research presents a strategy developed for multiple sensor fusion, based on geometric optimization. Each sensor's uncertainty model has been developed. Using Lagrangian optimization techniques the individual sensor's uncertainty has been fused to reduce the overall uncertainty to generate a consensus among the sensors regarding their acceptable values. Using fission-fusion architecture, the precision level has further been improved. Subsequently, using feed back from the fused sensory information, the net error has further been minimized to any pre assigned value by developing a fusion technique in the differential domain (FDD). The techniques have been illustrated using synthesized data from two types of sensors (optical encoder and a single camera vision sensor). The application experience of the same fusion strategy in improving the precision of correctness of stereo matching using multiple baselines has also been discussed.

关键词： uncertainty ellipsoid sensor fusion fission-fusion architecture fusion in the differential domain stereo matching multiple baselines

来源：评论

学校读者我要写书评

暂无评论

Robust multi-source sound localization using temporal power fusion

Robust multi-source sound localization using temporal power ...

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Aarabi, P Stanford Univ Dept Comp Sci Stanford CA 94305 USA

ISBN: (纸本)0819440809

In the past several years, many different algorithms have attempted to address the problem of robust multi-source time difference of arrival (TDOA) estimation, which is necessary for sound localization. Different approaches, including general cross correlation, multiple signal classification (MUSIC), and the maximum likelihood (ML) approach, have made different trade-offs between robustness and efficiency. A new approach presented here offers a much more efficient yet robust mechanism for TDOA estimation. This approach iteratively uses small sound signal segments to compute a local crosscorrelation based TDOA estimate. All of the different local estimates are combined to form the probability density function of the TDOA. Because the power of the secondary sources will be greater than the others for a certain set of the local signal segments, the TDOA corresponding to these sources will be associated with a peak in the TDOA probability density function. This way, the TDOAs of several different sources, along with their signal strength can be estimated. A real-time implementation of the proposed approach is used to show its improved accuracy and robustness. The system was consistently able to correctly localize sound sources with SNRs as low as 3 dB.

关键词： multi-source sound localization direction of arrival estimation beamforming temporal information fusion

来源：评论

学校读者我要写书评

暂无评论

Metric sensitivity of the multi-sensor information fusion process under instance-based learning

Metric sensitivity of the multi-sensor information fusion pr...

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Dasarathy, BV Dynet Inc Huntsville AL 35814 USA

ISBN: (纸本)0819440809

The study investigates the sensitivity of the instance-based-learning (IBL) driven multi-source information fusion process to the underlying distance metric. An audio-visual system for recognition of spoken French vowels is used as an example for this investigation. Three different distance measures, namely, Euclidean, city block and chess board metrics, are employed for this initial foray into metric sensitivity analysis. In this example, the test phase encompasses a broader range of noise environments of the audio signal as compared to the training phase. The system is thus exercised in both trained and untrained noise regimes. Under the untrained regime, interpolation as well as extrapolation or off-nominal scenarios are considered. In the former, the signal to noise ratio in the test phase is within the range used in training phase but does not specifically include it. In the latter, the signal to noise ratio in the test phase is outside the range used in the training phase. It is observed that while both of the single-sensor based decision systems individually are not very sensitive to the choice of the metric, the fused decision system is indeed significantly more sensitive to this choice. The city block metric offers better performance as compared to the other two in the case of the fused audio-visual system across most of the spectrum of noise environments, except for the extreme off-nominal conditions wherein the Euclidean offers slightly better performance. The chess board metric offers the lowest performance across the entire test range. The lack of training in the interpolation scenario has a noticeably strong effect on audio performance under the chess board metric.

关键词： Metric sensitivity Instance-based learning information fusion audio-visual system

来源：评论

学校读者我要写书评

暂无评论

Taking advantage of misclassifications to boost classification rate in decision fusion

Taking advantage of misclassifications to boost classificati...

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Goebel, K Mysore, SP GE Corp Res & Dev Niskayuna NY 12309 USA

ISBN: (纸本)0819440809

This paper presents methods to boost the classification rate in decision fusion with partially redundant information. This is accomplished by utilizing the information of known misclassifications of certain classes to systematically modify class output. For example, if it is known beforehand that tool A misclassifies class 1 often as class 2, then it appears to be prudent to integrate that information into the reasoning process if class 1 is indicated by tool B and class 2 is observed by tool A. Particularly this preferred misclassification information is contained in the asymmetric (cross-correlation) entries of the confusion matrix. An operation we call "cross-correlation" is performed where this information is explicitly used to modify class output before the first fused estimate is calculated. We investigate several methods for cross-correlation and discuss the advantages and disadvantages of each. We then apply the concepts introduced to the diagnostic realm where we aggregate the output of several different diagnostic tools. We show how the proposed approach fits into an information fusion architecture and finally present results motivated from diagnosing on-board faults in aircraft engines.

关键词： classification diagnostics information fusion decision fusion correlation cross-correlation

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58页 << < 35 36 37 38 39 40 41 42 43 44 > >>

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：