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

15,139 篇 会议
247 篇 期刊文献
227 册 图书
3 篇 学位论文

馆藏范围

15,616 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

8,104 篇 工学
- 5,426 篇 计算机科学与技术...
- 2,798 篇 软件工程
- 2,443 篇 电气工程
- 1,573 篇 信息与通信工程
- 1,011 篇 控制科学与工程
- 834 篇 光学工程
- 572 篇 电子科学与技术（可...
- 555 篇 生物医学工程（可授...
- 550 篇 机械工程
- 511 篇 仪器科学与技术
- 419 篇 生物工程
- 286 篇 测绘科学与技术
- 204 篇 航空宇航科学与技...
- 189 篇 交通运输工程
- 180 篇 材料科学与工程（可...
- 145 篇 安全科学与工程
- 119 篇 化学工程与技术
4,114 篇 理学
- 2,771 篇 物理学
- 1,130 篇 数学
- 473 篇 生物学
- 325 篇 系统科学
- 275 篇 统计学（可授理学、...
- 146 篇 化学
1,618 篇 医学
- 1,437 篇 临床医学
- 215 篇 特种医学
- 203 篇 基础医学(可授医学...
- 134 篇 药学(可授医学、理...
859 篇 管理学
- 515 篇 管理科学与工程(可...
- 379 篇 图书情报与档案管...
- 130 篇 工商管理
78 篇 法学
69 篇 农学
42 篇 经济学
40 篇 教育学
28 篇 文学
25 篇 军事学
21 篇 艺术学
1 篇 哲学

主题

2,700 篇 image processing
1,404 篇 image segmentati...
1,148 篇 signal processin...
793 篇 real-time system...
744 篇 cameras
743 篇 feature extracti...
552 篇 image edge detec...
539 篇 signal processin...
479 篇 image reconstruc...
470 篇 image coding
447 篇 algorithm design...
372 篇 deep learning
368 篇 object detection
345 篇 computer vision
344 篇 hardware
337 篇 image color anal...
335 篇 real time system...
333 篇 clustering algor...
333 篇 accuracy
316 篇 computer archite...

机构

22 篇 signal and image...
19 篇 samara national ...
17 篇 school of electr...
12 篇 information syst...
11 篇 samara national ...
11 篇 univ texas san a...
11 篇 department of el...
11 篇 school of electr...
10 篇 department of el...
10 篇 electrical compu...
9 篇 school of electr...
9 篇 institute of ima...
9 篇 tongji universit...
9 篇 purdue univ sch ...
9 篇 university of ch...
9 篇 center for signa...
8 篇 shanghai jiao to...
8 篇 information syst...
8 篇 tampere univ tec...
8 篇 university of to...

作者

22 篇 anon
13 篇 de-shuang huang
12 篇 jagdish chand ba...
11 篇 jie yang
11 篇 p. pirsch
10 篇 hannig frank
10 篇 panetta karen
10 篇 c.-c.j. kuo
10 篇 j.m. mendel
10 篇 plaza antonio
10 篇 r. chellappa
9 篇 semenishchev e.
9 篇 zelensky a.
9 篇 bovik alan c.
9 篇 wei li
8 篇 frank hannig
8 篇 yves wiaux
8 篇 a.s. willsky
8 篇 mahalanobis a
8 篇 ilias maglogiann...

语言

15,262 篇 英文
254 篇 其他
81 篇 中文
26 篇 土耳其文
4 篇 俄文
3 篇 葡萄牙文
2 篇 法文
1 篇 西班牙文

检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VI"

共 15616 条记录，以下是4611-4620 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：

Learning to Rank: A Progressive Neural Network Learning Approach 44

Learning to Rank: A Progressive Neural Network Learning Appr...

引用

44th IEEE International conference on Acoustics, Speech, and Signal processing, ICASSP 2019

作者： Tran, Dat Thanh Iosifidis, Alexandros Laboratory of Signal Processing Tampere University of Technology Finland Department of Engineering ECE Aarhus University Denmark

ISBN: (纸本)9781479981311

Learning to rank is an essential component in an information retrieval system. The state-of-the-art ranking systems are often based on an ensemble of classifiers, such as Random Forest or LambdaMART, which aggregates the ranking outputs produced by thousands of classifiers. The storage and computation requirement of an ensemble model is usually very high, imposing a significant operating cost to the retrieval system. To tackle this problem, we propose an algorithm that adaptively learns a single heterogeneous feedfor-ward network architecture, composing of Generalized Operational Perceptrons, given a ranking problem. Experimental results in web search ranking and image retrieval tasks show that the proposed algorithm compares favourably to the related algorithms. © 2019 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Design and Evaluation of Information Bottleneck LDPC Decoders for Software Defined Radios 12

Design and Evaluation of Information Bottleneck LDPC Decoder...

引用

12th International conference on Signal processing and Communication systems (ICSPCS)

作者： Lewandowsky, Jan Bauch, Gerhard Tschauner, Matthias Oppermann, Peter Hamburg Univ Technol Inst Commun D-21073 Hamburg Germany Fraunhofer Inst Commun Informat Proc & Ergon FKIE D-53343 Wachtberg Germany Fraunhofer Inst Med Image Comp MEVIS D-28359 Bremen Germany

ISBN: (纸本)9781538656020

The Information Bottleneck method allows to construct information-optimum message passing decoders for low-density parity-check codes. In such decoders lookup tables replace the classical node operations of the variable and the check nodes. These lookup tables are designed using the Information Bottleneck principle of maximizing the relevant information. Unlike state-of-the-art decoders which use real valued log-likelihood ratios for decoding, the considered decoders do not process any real values, but only quantization indices. Nevertheless, they have performance extremely close to belief propagation decoding. Since hardware representation of unsigned integers is efficient and lookup table implementations have low complexity, it is reasonable to assume that the designed decoders offer advantages over their conventional counterparts in practice. In this paper, we evaluate, quantify and discuss these advantages in a practical experiment. Our focus lies on a software defined radio application, where the channel decoder is implemented on a digital signal processor. We present several implementations of the considered decoders and compare them with state-of-the-art decoders. Our results show considerable gains of the Information Bottleneck decoders in terms of bit error rate performance and net decoding throughput.

关键词： Decoding Table lookup Iterative decoding Belief propagation Approximation algorithms Signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

video Quality Assessment Metrics for Infrared video Frames using Different Edge Detection algorithms 3

Video Quality Assessment Metrics for Infrared Video Frames u...

引用

3rd International conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017

作者： Sai Prasad Reddy, K. Nagabhushan Raju, K. Department of Electronics Sri Krishnadevaraya University Anantapuramu India Department of Instrumentation Sri Krishnadevaraya University Anantapuramu India

ISBN: (纸本)9781538632420

Infrared signal processing algorithms and architectures are important for the development of a high performance infrared imaging systems. Infrared signal processing deals with two types of processing sensor signal processing and infrared image processing for contrast enhancement and target detection. The sensor signal processing primarily deals with non uniformity correction for infrared sensors. Assessing the quality of the Infrared video frame is a complex and firm process since human's opinion is affected by physical and psychological parameters. Infrared video frame quality assessment plays an important role in the field of video processing. Structural Similarity Index has become a standard among image quality metrics. It is a framework for quality assessment based on the degradation of structural information of video frame. In this paper SSIM values are computed and compared for Infrared video frames by applying different edge detection approaches by using different color models to assess the quality of the frames. Experimental results comparisons demonstrate the effectiveness of the proposed method. © 2017 IEEE.

关键词： video signal processing

来源：评论

学校读者我要写书评

暂无评论

Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach

Learning How to Interpolate Fourier Data With Unknown Autore...

引用

Asilomar conference on Signals, systems & Computers

作者： Tae Hyung Kim Justin P. Haldar Signal and Image Processing Institute University of Southern California Los Angeles CA

ISBN: (数字)9781728143002

ISBN: (纸本)9781728143019

It has been previously shown that the Fourier samples acquired in magnetic resonance imaging (MRI) experiments possess shift-invariant autoregressive structure, which has led to the emergence of various autocalibrated convolution-based image reconstruction approaches. Such approaches, which include GRAPPA, AC-LORAKS, RAKI, and LO-RAKI, each have their own relative strengths and weaknesses. In this work, we propose a novel ensemble-based approach that uses all of these approaches simultaneously as parallel building blocks within a larger data-adaptive reconstruction network. Results with real data suggest that the ensemble-based approach can synergistically utilize the strengths of each method, providing robust reconstruction performance without the need for interactive parameter tuning.

关键词： image reconstruction Magnetic resonance imaging Training data Reconstruction algorithms Deep learning Coils Training

来源：评论

学校读者我要写书评

暂无评论

Moving Vehicle Detection Using Haar-like, LBP and a Machine Learning Adaboost Algorithm 3

Moving Vehicle Detection Using Haar-like, LBP and a Machine ...

引用

3rd IEEE International conference on image processing, Applications and systems, IPAS 2018

作者： Jabri, S. Saidallah, M. El Belrhiti El Alaoui, A. El Fergougui, A. Computer Networks and Systems Laboratory FSM-UMI BP 11201 Meknes Morocco

ISBN: (纸本)9781728102474

Object detection and classification is one of the core functions of Intelligence Transport systems (ITS). It is typically based on extracted features and learning algorithms. Different approaches seem to be appropriate. Researchers should compare and evaluate existing approaches to apply the most efficient. In this paper, we propose a moving vehicle-detection vision system. Two solutions are examined in terms of performance and energy-efficient. The first is a classical Adaboost approach based on the Haar-like in feature extraction whereas the second handles a Local Binary Pattern descriptor that will undergo extraction with Adaboost classifier. Comparison results are illustrated based on the GTI vehicle image dataset. The most pertinent is the Haar-like +Adaboost, leading a DR of 90.1% instead of 87.9% for the LBP+Adaboost. However, LBP+Adaboost shows a low energy consumption, which is very important in any embedded systems. © 2018 IEEE.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

Efficient OpenCL Accelerators for Canny Edge Detection Algorithm on a CPU-FPGA Platform

Efficient OpenCL Accelerators for Canny Edge Detection Algor...

引用

International conference on Reconfigurable Computing and FPGAs (ReConFig)

作者： Samah Rahamneh Lina Sawalha Computer and Electrical Engineering Western Michigan University Kalamazoo MI

ISBN: (纸本)9781728119588

The processing demands of current and emerging applications, such as image/video processing, are increasing due to the deluge of data, generated by mobile and edge devices. This raises challenges for a vast range of computing systems, starting from smart-phones and reaching cloud and data centers. Heterogeneous computing demonstrates its ability as an efficient computing model due to its capability to adapt to various workload requirements. Field programmable gate arrays (FPGAs) provide power and performance benefits and have been used in many application domains from embedded systems to the cloud. In this paper, we used a closely coupled CPU-FPGA heterogeneous system to accelerate a sliding window based image processing algorithm, Canny edge detector. We accelerated Canny using two different implementations: Code partitioned and data partitioned. In the data partitioned implementation, we proposed a weighted round robin based algorithm that partitions input images and distributes the load between the CPU and the FPGA based on latency. The paper also compares the performance of the proposed accelerators with separate CPU and FPGA implementations. Using our hybrid CPU-FPGA based algorithm, we achieved a speedup up to 4.8× over a CPU-only and up to 2.1× over a FPGA-only implementations. Moreover, the estimated total energy consumption of our algorithm is more efficient than a CPU-only implementation. Our results show a significant reduction in energy delay product (EDP) compared to the CPU-only implementation, and comparable EDP results to the FPGA-only implementation.

关键词： edge detection embedded systems field programmable gate arrays Field programmable gate arrays Embedded systems Edge detection partitions Accelerators algorithms boundary detection algorithm central processing units Deluge sliding windows Electronic Data processing Clouds data center

来源：评论

学校读者我要写书评

暂无评论

Energy-Efficient Illumination Control Using image Parameters in a Machine vision Environment for Optimum Surface Texture Identification 1st

Energy-Efficient Illumination Control Using Image Parameters...

引用

International conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (ETAEERE)

作者： Manish, R. Ashok, S. Denis VIT Univ Dept Design & Automat Vellore Tamil Nadu India

ISBN: (纸本)9789811047626;9789811047619

Synergy of optimum illumination and image processing techniques is a very important aspect which needs to be incorporated in a machine vision environment to improve the durability of the lighting unit and also to conserve power requirements. This research work presents a novel way to optimize lighting requirements in a machine vision system using image feature analysis and image processing algorithms for texture identification. The practical implementation could be considered for automated machine vision environment for object surface inspection and quality monitoring.

关键词： Illumination control image processing Canny algorithm Surface texture Fourier transform Harris corner points Intensity maps

来源：评论

学校读者我要写书评

暂无评论

Evaluation of embedded systems for automotive image processing 19

Evaluation of embedded systems for automotive image processi...

引用

19th IEEE/ACIS International conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018

作者： Duong, Trung Tin Seo, Jung Hwan Tran, Thi Dinh Young, Byun Jin Jeon, Jae Wook Department of ECE Sungkyunkwan University Korea Republic of

ISBN: (纸本)9781538658895

With the emergence of industry 4.0, autonomous driving vehicles have become an exciting research topic in the science technology community. The driving system requires many complex algorithms that provide both accurate results and fast running times. However, the performance of these algorithms is usually limited to standard personal computer (PC) systems. Currently, the computation power of available embedded systems lags far behind that of a standard PC, even when compared to PCs with moderate capabilities. Hence, we present some benchmark results of several systems, including standard PCs, laptops, and embedded systems, for performing computer vision algorithms. We collected a set of algorithms that are commonly used in autonomous driving systems and then ran each of these on our selected systems. In this evaluation, we focused only on the processing time without concerning about the precision of the algorithm. The details of the testing algorithms and systems are provided in this report also. We believe that our experiment can provide practical information to people who aim to transfer their algorithm to an embedded system. © 2018 IEEE.

关键词： Computer vision

来源：评论

学校读者我要写书评

暂无评论

Dynamic Approach for Lane Detection using Google Street view and CNN

Dynamic Approach for Lane Detection using Google Street View...

引用

IEEE Region 10 International conference TENCON

作者： Rama Sai Mamidala Uday Uthkota Mahamkali Bhavani Shankar A. Joseph Antony A. V. Narasimhadhan National Institute of Technology Surathkal Mangalore India Insight Centre for Data Analytics Dublin City University Dublin Ireland

Lane detection algorithms have been the key enablers for a fully-assistive and autonomous navigation systems. In this paper, a novel and pragmatic approach for lane detection is proposed using a convolutional neural network (CNN) model based on SegNet encoder-decoder architecture. The encoder block renders low-resolution feature maps of the input and the decoder block provides pixel-wise classification from the feature maps. The proposed model has been trained over 2000 image data-set and tested against their corresponding ground-truth provided in the data-set for evaluation. To enable real-time navigation, we extend our model's predictions interfacing it with the existing Google APIs evaluating the metrics of the model tuning the hyper-parameters. The novelty of this approach lies in the integration of existing segnet architecture with google APIs. This interface makes it handy for assistive robotic systems. The observed results show that the proposed method is robust under challenging occlusion conditions due to pre-processing involved and gives superior performance when compared to the existing methods.

关键词： Google Training Real-time systems Graphics processing units image segmentation Support vector machines Mathematical model

来源：评论

学校读者我要写书评

暂无评论

Study and Exploration of NIR image Enhancement Techniques

Study and Exploration of NIR Image Enhancement Techniques

引用

International conference on Computing and Networking Technology (ICCNT)

作者： Surabhi Bhure Satish T. Hamde SGGS IE&T Nanded Maharashtra India

The current research work involves the design and development of imaging approach along with the desktop application to enhance the subcutaneous vein patterns in difficult to access subjects. The proposed approach involves a simple camera sensitive to Near Infrared Reflectance(NIR) spectra. NIR image is very high wavelength illuminated image and it is based upon the principle of recording the high contrast image in low light vision applications. The methodology involves enhancement techniques with the Frangi filter so it gives better result than the earlier techniques. The Frangi filter is specially used for vesselness detection in the human body for the analysis and observation of veinous patterns. The pre-processing and some feature extraction techniques with the Frangi filter gives the real-time image analysis so it can reduce the time required for vein detection. The main objective of this research paper is to give a more accurate result of real-time imaging and reduce the noise problem occurring in the different image enhancement algorithms in python.

关键词： Histograms Veins Cameras Real-time systems image enhancement Biomedical imaging

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500页 << < 458 459 460 461 462 463 464 465 466 467 > >>

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：