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

100 篇 会议
97 篇 期刊文献
2 册 图书

馆藏范围

199 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

123 篇 工学
- 49 篇 计算机科学与技术...
- 40 篇 软件工程
- 28 篇 电气工程
- 26 篇 信息与通信工程
- 20 篇 电子科学与技术（可...
- 19 篇 机械工程
- 15 篇 材料科学与工程（可...
- 15 篇 控制科学与工程
- 15 篇 化学工程与技术
- 13 篇 生物工程
- 10 篇 生物医学工程（可授...
- 8 篇 动力工程及工程热...
- 7 篇 仪器科学与技术
- 7 篇 土木工程
- 7 篇 环境科学与工程（可...
- 6 篇 交通运输工程
- 5 篇 力学（可授工学、理...
- 4 篇 建筑学
- 4 篇 城乡规划学
67 篇 理学
- 33 篇 数学
- 18 篇 生物学
- 17 篇 物理学
- 10 篇 化学
- 4 篇 大气科学
- 4 篇 系统科学
- 4 篇 统计学（可授理学、...
19 篇 管理学
- 10 篇 管理科学与工程(可...
- 7 篇 图书情报与档案管...
5 篇 农学
5 篇 医学
- 5 篇 临床医学
4 篇 法学
- 4 篇 社会学
2 篇 经济学
1 篇 文学
1 篇 艺术学

主题

9 篇 accuracy
5 篇 automation
5 篇 feature extracti...
5 篇 machine learning
5 篇 biometrics
5 篇 hyperspectral im...
4 篇 optimization
4 篇 noise
4 篇 additive manufac...
4 篇 robots
4 篇 databases
4 篇 memetics
4 篇 sensors
4 篇 training
3 篇 cmos integrated ...
3 篇 metabolomics
3 篇 pixel
3 篇 face recognition
3 篇 fall detection
3 篇 educational inst...

机构

32 篇 shenzhen city ke...
26 篇 school of system...
11 篇 college of compu...
11 篇 shenzhen key lab...
8 篇 peng cheng labor...
6 篇 shenzhen key lab...
6 篇 shenzhen city ke...
6 篇 school of urban ...
5 篇 college of biome...
5 篇 school of urban ...
5 篇 shenzhen key lab...
4 篇 college of compu...
3 篇 key laboratory o...
3 篇 guangdong provin...
3 篇 shenzhen key lab...
3 篇 school of intern...
3 篇 the school of sy...
2 篇 materials scienc...
2 篇 department of el...
2 篇 sichuan universi...

作者

22 篇 ji zhen
21 篇 zhen ji
12 篇 li yan
12 篇 yu hang
10 篇 jiang lai
10 篇 zexuan zhu
8 篇 yan li
7 篇 zhu zexuan
6 篇 lai jiang
6 篇 hang yu
5 篇 wei zhang
5 篇 sen jia
4 篇 lin shengyue
4 篇 lin zhiyun
4 篇 yi xiong
4 篇 wang hanli
4 篇 shen linlin
4 篇 xiang xu
4 篇 yuntao qian
4 篇 linlin shen

语言

177 篇 英文
14 篇 其他
8 篇 中文

检索条件"机构=Shenzhen Key Laboratory of Embedded System Design"

共 199 条记录，以下是71-80 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 3-transistor CMOS active pixel with in-pixel correlated double sampling

A 3-transistor CMOS active pixel with in-pixel correlated do...

引用

IEEE Conference on Electron Devices and Solid-State Circuits

作者： Shaohua Liu Lai Jiang Hang Yu Yan Li Dao ming xi Qingguo Xie Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology HUST Wuhan China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China

This paper presents a 3-transistor CMOS active pixel structure with in-pixel correlated double sampling. designed in a standard 0.18 μm CMOS process, the structure effectively suppresses temporal noise and fixed pattern noise (FPN), thanks to the shared correlated double sampling circuit inside the pixel. Fill factor is also improved while maintaining pixel performance. Validation by Spectre simulator shows that the proposed structure suppresses 100 mV input offset to the microvolt range, and the pixel readout time is ~90 ns. The average power consumption of each pixel is 18 μW.

关键词： CMOS integrated circuits

来源：评论

学校读者我要写书评

暂无评论

Hand-Based Biometrics Fusing Palmprint and Finger-Knuckle-Print

Hand-Based Biometrics Fusing Palmprint and Finger-Knuckle-Pr...

引用

International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics (ETCHB)

作者： Linlin Shen Li Bai Zhen Ji Shenzhen Key Laboratory of Embedded System Design School of Computer Science & Software Engineering Shenzhen University Shenzhen China School of Computer Science University of Nottingham Nottingham UK

Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample is registered as template, by integrating multiple hand-based biometrics, i.e. palmprint and finger-knuckle-print. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Experimental results show that much better performance than single modal biometrics has been achieved.

关键词： Biometrics Feature extraction Databases Accuracy Fingers Face Pixel

来源：评论

学校读者我要写书评

暂无评论

Adaptive rate-distortion prediction for multiple reference selection and inter-mode decision

Adaptive rate-distortion prediction for multiple reference s...

引用

13th Pacific-Rim Conference on Multimedia, PCM 2012

作者： Zhao, Tiesong Zhang, Yun Kwong, Sam Wang, Hanli Chen, Qian Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Department of Computer Science City University of Hong Kong Hong Kong Hong Kong Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China

ISBN: (纸本)9783642347771

To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mode decision. In this paper, a Gaussian model based adaptive RD cost prediction method is developed to jointly speed up multiple reference selection and inter-mode decision. Besides the ability of achieving good coding efficiency with much reduced computational power, our method is also with two major advantages. First, it can achieve robust performance, including computational complexity reduction and almost intact video quality, with a wide range of video sequences resolutions and even for various scene changes;second, it could be either individually used or combined with the other efficient mode decision algorithms, and in both cases, our method could achieve remarkable performance, which is revealed by exhaustive experimental results. © 2012 Springer-Verlag.

关键词： Image coding

来源：评论

学校读者我要写书评

暂无评论

Feature Selection Technique for Hyperspectral Imagery Classification with Noise Reduction Preprocessing

Feature Selection Technique for Hyperspectral Imagery Classi...

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Sen Jia Zhen Ji Zexuan Zhu Yuntao Qian Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Computer Science University of Zhejiang Hangzhou China

The rich information available in hyperspectral imagery has posed significant opportunities for material classification and identification. The main problem encountered with the classification process is the high dimensionality of hyperspectral data and the low-sized training dataset. Hence, dimensionality reduction is often adopted to avoid the "curse of dimensionality" phenomenon. However, noise generated by various sources (primarily the sensor and the atmosphere) inevitably decrease the precision of the classifier. In this paper, two wavelet-based methods, wavelet shrinkage and discrete wavelet transform, are applied to preprocess the hyperspectral imagery in sequence, denoising the spatial images and spectral signatures, respectively. After that, affinity propagation, which is a recently proposed feature selection approach, is used to choose representative features from the noise-reduced data. Experimental results demonstrate that the features acquired by the new scheme make the classification results more accurate than those without noise reduction preprocessing.

关键词： Hyperspectral imaging Discrete wavelet transforms Noise reduction Noise Accuracy

来源：评论

学校读者我要写书评

暂无评论

Memetic clustering based on particle swarm optimizer and K-means

Memetic clustering based on particle swarm optimizer and K-m...

引用

Congress on Evolutionary Computation

作者： Zexuan Zhu Wenmin Liu Shan He Zhen Ji Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China School of Computer Science University of Birmingham Birmingham UK

ISBN: (纸本)9781467315104

This paper proposes an efficient memetic clustering algorithm (MCA) for clustering based on particle swarm optimizer (PSO) and K-means. Particularly, PSO is used as a global search to allow fast exploration of the candidate cluster centers. PSO has strong ability to find high quality solutions within tractable time, but it suffers from slow-down convergence as the swarm approaching optima. K-means, achieving fast convergence to optimum solutions, is utilized as local search to fine-tune the solutions of PSO in the framework of memetic algorithm. The performance of MCA is evaluated on four synthetic datasets and three high-dimensional gene expression datasets. Comparison study to K-means, PSO, and PSO-KM (jointed PSO and K-means) indicates that MCA is capable of identifying cluster centers more precisely and robustly than the other counterpart algorithms by taking advantage of both PSO and K-means.

关键词： Clustering algorithms Convergence Gene expression Particle swarm optimization Memetics Educational institutions Acceleration

来源：评论

学校读者我要写书评

暂无评论

Survival analysis of gene expression data using PSO based radial basis function networks

Survival analysis of gene expression data using PSO based ra...

引用

Congress on Evolutionary Computation

作者： Wenmin Liu Zhen Ji Shan He Zexuan Zhu Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China School of Computer Science University of Birmingham Birmingham UK

ISBN: (纸本)9781467315104

Gene expression data combined with clinical data has emerged as an important source for survival analysis. However, gene expression data is characterized with thousands of features/genes but only tens or hundreds of observations. The high-dimensionality and unbalance between features and samples pose big challenges for the classical survival analysis methods. This paper proposes a particle swarm optimization based radial basis function networks (PSO-RBFN) for the survival analysis on gene expression data. Particularly, PSO-RBFN applies a principle component analysis for dimensionality reduction and optimizes the RBF network using PSO. The experimental results on three gene expression datasets indicate that PSO-RBFN is able to improve the predict accuracy compared to the other classical survival analysis methods.

关键词： Gene expression Hazards Training Neurons Data models Principal component analysis Breast cancer

来源：评论

学校读者我要写书评

暂无评论

Hierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral unmixing

Hierarchical alternating least squares algorithm with Sparsi...

引用

IEEE International Conference on Image Processing

作者： Sen Jia Yuntao Qian Jiming Li Yan Li Zhong Ming Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Computer Science University of Zhejiang Hangzhou China

In this paper, we not only extend the temporal hierarchical alternating least squares (HALS) to spatial domain, but also incorporate two necessary characteristics of material abundances, full additivity and sparsity, to unmix hyperspectral data. The new algorithm is abbreviated as HALSSC (HALS with Sparsity Constraint). Different from the other endmember extraction approaches, the proposed algorithm does not need the existence assumption of pure pixel of each endmember in the scene. Experimental results on highly mixed synthetic data and real hyperspectral data from Washington DC mall confirm the accuracy of the developed algorithm.

关键词： Hyperspectral imaging Pixel Signal processing algorithms Data mining Reflectivity Materials

来源：评论

学校读者我要写书评

暂无评论

Precisely Locating Multi-QR Code Based on Straight Line Fitting

Precisely Locating Multi-QR Code Based on Straight Line Fitt...

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Qiang Huang Ming Li Zhen Ji Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University China College of Computer Science and Software Engineering Shenzhen University China

QR code as a code which can be recognized quickly and in all directions, has been widely used in every walk of life. This paper proposed an approach to exactly locate the QR code, which based on the frame points of the QR code finder pattern to fit line in order to get the four frame lines of the QR code. Compared with commonly used HOUGH transform, our approach reduces a lot of memory and time consumption. Experiment validates that the proposed method can precisely locate multi-QR codes in complicate background.

关键词： Electronic mail Software engineering Educational institutions Computer science Laboratories Cities and towns embedded systems

来源：评论

学校读者我要写书评

暂无评论

Multi-modality stacked deep polynomial network based feature learning for Alzheimer's disease diagnosis

Multi-modality stacked deep polynomial network based feature...

引用

IEEE International Symposium on Biomedical Imaging

作者： Xiao Zheng Jun Shi Yan Li Xiao Liu Qi Zhang School of Communication and Information Engineering Shanghai University Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University China

ISBN: (纸本)9781479923519

Feature representation is the critical factor for the computer-aided Alzheimer's disease (AD) diagnosis. Deep polynomial network (DPN) is a novel deep learning algorithm, which can effectively learn feature representation from small samples. In this work, a stacked DPN (S-DPN) algorithm is proposed to further improve feature representation. We then propose a multi-modality S-DPN (MM-S-DPN) algorithm to fuse multi-modality neuroimaging data and learn more discriminative and robust feature representation for AD classification. Experiments are performed on ADNI dataset with MRI and PET images as multi-modality data. The results indicate that S-DPN is superior to DPN and stacked auto-encoder algorithms. Moreover, MM-S-DPN achieves best performance compared with single-modality S-DPN and other multi-modality feature learning based algorithms.

关键词： Classification algorithms Magnetic resonance imaging Positron emission tomography Neuroimaging Diseases Training Machine learning

来源：评论

学校读者我要写书评

暂无评论

Feature extraction and selection hybrid algorithm for hyperspectral imagery classification

Feature extraction and selection hybrid algorithm for hypers...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Sen Jia Yuntao Qian Jiming Li Weixiang Liu Zhen Ji Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Computer Science University of Zhejiang Hangzhou China

Due to the enormous amounts of data contained in hyperspectral imagery, the main challenge for hyperspectral image classification is to improve the accuracy with less computation complexity. Hence, dimensionality reduction (DR) is often adopted, which includes two different kinds of methods, feature extraction and feature selection. In this paper, discrete wavelet transform (DWT) and affinity propagation (AP), which belong to feature extraction and feature selection respectively, are combined together to accomplish the DR task. Firstly, DWT-based features are extracted from the original hyperspectral data; secondly, AP is applied to select representative features from the obtained ones. Experimental results demonstrate that, compared with some other DR methods which only make use of feature extraction or feature selection, the features acquired by the hybrid technique make the classification results more accurate.

关键词： Feature extraction Hyperspectral imaging Discrete wavelet transforms Accuracy Approximation methods Noise

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 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：