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

1,646 篇 会议
14 册 图书
12 篇 期刊文献

馆藏范围

1,672 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,183 篇 工学
- 901 篇 计算机科学与技术...
- 598 篇 软件工程
- 324 篇 光学工程
- 279 篇 信息与通信工程
- 259 篇 电气工程
- 174 篇 生物工程
- 153 篇 控制科学与工程
- 122 篇 机械工程
- 108 篇 生物医学工程（可授...
- 57 篇 电子科学与技术（可...
- 48 篇 材料科学与工程（可...
- 48 篇 化学工程与技术
- 48 篇 安全科学与工程
- 38 篇 仪器科学与技术
- 37 篇 交通运输工程
- 26 篇 建筑学
- 25 篇 土木工程
557 篇 理学
- 353 篇 物理学
- 200 篇 数学
- 176 篇 生物学
- 63 篇 化学
- 57 篇 统计学（可授理学、...
213 篇 医学
- 202 篇 临床医学
- 61 篇 基础医学(可授医学...
- 45 篇 药学(可授医学、理...
- 24 篇 公共卫生与预防医...
176 篇 管理学
- 98 篇 管理科学与工程(可...
- 80 篇 图书情报与档案管...
- 31 篇 工商管理
28 篇 农学
- 28 篇 作物学
19 篇 法学
17 篇 经济学
8 篇 教育学
5 篇 军事学
1 篇 文学

主题

307 篇 computer vision
228 篇 image processing
105 篇 image segmentati...
92 篇 feature extracti...
76 篇 deep learning
50 篇 object detection
42 篇 cameras
39 篇 image edge detec...
37 篇 convolutional ne...
34 篇 visualization
34 篇 image recognitio...
32 篇 machine learning
32 篇 image reconstruc...
31 篇 neural networks
30 篇 image color anal...
28 篇 computational mo...
28 篇 shape
28 篇 training
26 篇 image analysis
25 篇 image enhancemen...

机构

6 篇 university of ch...
5 篇 comput & inf sci...
5 篇 department of co...
4 篇 chitkara univers...
4 篇 image processing...
4 篇 beijing institut...
4 篇 college of compu...
3 篇 shanghai jiao to...
3 篇 dept of electr &...
3 篇 south china univ...
3 篇 inria sophia-ant...
3 篇 school of comput...
3 篇 department of ma...
3 篇 shenyang institu...
3 篇 department of co...
3 篇 school of electr...
3 篇 school of comput...
3 篇 college of compu...
3 篇 dept of control ...
3 篇 department of in...

作者

6 篇 andayani u.
5 篇 syahputra m.f.
5 篇 mohana
5 篇 siregar b.
4 篇 yang yang
4 篇 wang wei
4 篇 hassan ghassemia...
4 篇 li hui
4 篇 shohreh kasaei
4 篇 e.j. delp
3 篇 luo haibo
3 篇 paul joseph sure...
3 篇 wang qian
3 篇 ying liu
3 篇 maryam imani
3 篇 saurav sumeet
3 篇 weickert joachim
3 篇 muchtar m.a.
3 篇 xin wang
3 篇 aggarwal j.k.

语言

1,600 篇 英文
66 篇 其他
9 篇 中文
1 篇 土耳其文

检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

共 1672 条记录，以下是1141-1150 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：

Scanned to Digital Face images Matching With Siamese Network

Scanned to Digital Face Images Matching With Siamese Network

引用

Recent Advances and Innovations in Engineering (ICRAIE)

作者： J. C. Joshi Anubhav Gupta Kamlesh Tiwari Karunesh. K. Gupta Department of Electrical and Electronics Engineering Birla Institute of Technology and Science (BITS) Pilani India Department of Computer Science and Information Systems Birla Institute of Technology and Science (BITS) Pilani India

ISBN: (纸本)9781538645260;9781538645253

Often in law enforcement and forensic application it is needed to match scanned facial image with a digital face image. This is because in many scenario, non-digital face images are obtained from the crime scene, news articles etc. that are needed to be identified. Non-digital face images are first scanned and then enhanced to match against the database. Challenges arrives because of poor quality of non-digital image, artifacts introduced in scanning process and high saturation etc. therefore matching becomes difficult. The methods used in literature involve specialized hand crafted pre-processing. In our paper, we propose an automated way of matching by using Siamese networks. The proposed method have been able to achieve an EER of 2.346% that is better than the current state-of-the-art.

关键词： Face Feature extraction Digital images Training Databases Neurons Gray-scale

来源：评论

学校读者我要写书评

暂无评论

Auxiliary Conditional Generative Adversarial Networks for image Data Set Augmentation

Auxiliary Conditional Generative Adversarial Networks for Im...

引用

international conference on Inventive Computation Technologies (ICICT)

作者： Kalpana Devi Bai. Mudavathu M. V. P. Chandra Sekhara Rao K. V. Ramana Acharya Nagarjuna University RVR & JC College of Engineering Guntur JNTUK Kakinada

ISBN: (数字)9781538649855

ISBN: (纸本)9781538649862

Adversarial models have been widely used for data generation and classification in the fields of computer vision and Artificial Intelligence. These adversarial models are defined over a framework in neural networks called Generative Adversarial Networks. In this paper, we use auxiliary conditional generative models which are special kinds of GANs employing label conditioning that result in newly generated images exhibiting global coherence. This conditional version of generative models is constructed by feeding data that we wish to condition on generator network and discriminator network in a GAN. The analysis has experimented on a high-resolution dataset called FMNIST across 60,000 samples of training images with reshaped image resolution size of 28*28. The following procedure is used for image dataset augmentation which improves the accuracy of image classifiers/segmentation techniques.

关键词： Generators Gallium nitride Training Biological neural networks Generative adversarial networks computer architecture

来源：评论

学校读者我要写书评

暂无评论

Melanoma Screening Using Deep Neural Networks

Melanoma Screening Using Deep Neural Networks

引用

international conference for Convergence of Technology (I2CT)

作者： Jayant Sachdev Shashank Shekhar S. Indu Delhi Technological University

Deep learning algorithms, in particular convolutional neural networks, have rapidly become a methodology of choice for analyzing images. This choice arises due to fact that Deep Learning reduces the feature engineering task which is very important for automatic analysis of various kinds of images including medical images. In this work we have implemented various Deep Convolutional Neural Networks architectures for the process of binary classification task efficient enough in predicting either the input RGB image of the skin lesion is melanoma or not. Diagnosing the skin lesion is the first step towards its treatment. In this work we have assimilated two approaches on the pretrained Convolutional Neural Networks on the imageNet dataset. Firstly, we use the transfer learning approach without any fine tuning and obtained features are fed for linear classification task. Secondly, we use the transfer learning approach with fine tuning. The adopted method requires no lesion segmentation or any other higher level image processing tasks. Finally, we have also developed a real time android application to perform the binary classification task. The result obtained using our android application were enthusiastic.

关键词： Melanoma Lesions Skin Tuning Feature extraction computer architecture Pipelines

来源：评论

学校读者我要写书评

暂无评论

rd-OPTIMIZED 3D PLANAR MODEL RECONSTRUCTION & ENCODING FOR VIDEO COMPRESSION

RD-OPTIMIZED 3D PLANAR MODEL RECONSTRUCTION & ENCODING FOR V...

引用

IEEE international conference on image processing

作者： Cheng Yang Gene Cheung Seishi Takamura National Institute of Informatics NTT

Conventional video coding approaches follow a hybrid motion prediction/residual transform coding paradigm, which limits the discovery of redundancy to individual pairs of video frames. On the other hand, computer vision techniques like structure-from-motion (SfM) have long exploited redundancy across a large group of frames to estimate a rigid 3D object structure. In this paper, leveraging on previous SfM techniques, we construct a rate-distortion (rd) optimized 3D planar model from a target spatial region in a frame group as a unified signal predictor for these frames. The prediction accuracy of the model is optimally traded off with the cost of coding such representation as side information (SI). Specifically, we approximate a roughly flat spatial region in the video as a 2D plane in 3D space, and project pixels from the frame group to a 2D grid on the plane with appropriate density. The boundary of the irregularly shaped pixel body on the plane is first coded using arithmetic edge coding (AEC), and then the body is encapsulated into a tight-fitting rectangular region, which is encoded as an intra-frame using HEVC. The pixels inside the rectangle but outside the pixel body—called don't care region (DCR)—are filled optimally by minimizing an l_1-norm of the transform coefficients using linear programming. Experimental results show that the rd-optimized planar model improves coding performance over native HEVC implementation.

关键词： Three-dimensional displays Encoding Video coding Solid modeling Two dimensional displays image reconstruction Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Breast Cancer Detection From Histopathological images Using Deep Learning

Breast Cancer Detection From Histopathological Images Using ...

引用

Recent Advances and Innovations in Engineering (ICRAIE)

作者： Naresh Khuriwal Nidhi Mishra Department of Computer Engineering Poornima University Jaipur Jaipur India

ISBN: (纸本)9781538645260;9781538645253

The cancer is the most dangerous diseases in the world, its mainly effective for women. So, our prime target must be curing the cancer through scientific investigation and the second main target should be early detection of cancer because the early detection of cancer can be helpful for remove the cancer completed. After reviewed 41 papers we found that several techniques are available for cancer detection. In this paper we proposed Deep Leaning algorithm convolutional neural network for diagnosed breast cancer using Mammograph MIAS database. The paper shows how we can use deep learning technology for diagnosis breast cancer using MIAS Dataset. Because deep learning techniques almost used for high task objective computer vision, image processing, Medical Diagnosis, Neural Language processing. But in this paper, we are applying deep learning technology on the MIAS Database and we have seen that is very beneficial for us for diagnosis breast cancer with accuracy 98%. This paper is divided in three parts first we have collect dataset and applied pre-processing algorithm for scaled and filter data then we have split dataset in training and testing purpose and generate some graph for visualization data. In last implement model on training dataset and achieved accuracy 98%. So, we have seen deep learning technology is a good way for diagnosis breast cancer with MIAS Dataset. This database provides200images and 12 features in the dataset. In this paper we have used 12 features for diagnosis breast cancer that we have got after pre-processing. But before train model we have applied some pre-processing algorithm like Watershed Segmentation, Colour based segmentation and Adaptive Mean Filters for scaled dataset then applied model and achieved accuracy. In this paper we also compare deep learning algorithm with other machine learning and seen our proposed system is proved best from others machine learning algorithm.

关键词： Breast cancer Convolutional neural networks Deep learning Machine learning algorithms conferences Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Intelligent Video Surveillance based on Object Tracking

Intelligent Video Surveillance based on Object Tracking

引用

Recent Advances and Innovations in Engineering (ICRAIE)

作者： Garima Mathur Devendra Somwanshi Mahesh M. Bundele Dept. of EEE School of Engineering & Technology Poornima University Jaipur India

ISBN: (纸本)9781538645260;9781538645253

Tracking moving objects as along with their movement through video sequences is one of the most basic and most crucial tasks in computer vision. This serves as the foundation for numerous higher-level automated applications in numerous domains, including surveillance, augmented reality and motion capture in moving object detection. Object tracking is key element of an IVS system which can further be modeled for many suspicious activity detection systems. There are many approaches and proposed algorithms for object tracking, out of which mean shift algorithm is the basis of implementation of IVS in this paper. The work proposed in this paper was defined to meet following objectives: to create a video sequence for moving object tracking; to design an experimental set up for moving object detection; and, to design and implement moving object tracking algorithm, The proposed algorithm was implemented on a captured video sequence. Object was detected first according to the image input, and then tracked in subsequent frames. The experimental implementation could perform the object tracking without missing any frame and could successfully overlay bounding box. It could successfully generate an image sequence after the complete implementation of Mean Shift Algorithm. The performance of algorithm was checked by successfully tracking the user defined object and performing the overlay function in the identified object.

关键词： Object tracking Video sequences Object detection image sequences Object recognition Video surveillance

来源：评论

学校读者我要写书评

暂无评论

Color Detection in Autonomous Robot-Camera

Color Detection in Autonomous Robot-Camera

引用

2018 3rd international conference on Communication,image and Signal processing（CCISP 2018）

作者： D Pour Yousefian Barfeh E Ramos Department of Computer Science Adamson University

This is a research about color detection in which the researchers propose and implement an algorithm to distinguish the location of any desired color in any kind of scene. The algorithm is implemented in a robot that is capable to move toward the desired color. The robot system operates real-time since the algorithm works on frames of an on-time video captured by a simple camera of the robot. The algorithm uses partitioning for finding the location of the desired color, and then considers all pixels at each partition. The robot system functions rapidly since there is no transformation or other time-consuming technique related to digital image processing in the algorithm. At the end of this study, the accuracy of the system is separately presented regarding the right movement and the left movement.

关键词： red image Color Detection in Autonomous Robot-Camera

来源：评论

学校读者我要写书评

暂无评论

A new designed descriptor for road sign recognition 3

A new designed descriptor for road sign recognition

引用

3rd international conference on Advanced Technologies for Signal and image processing, ATSIP 2017

作者： Ellahyani, Ayoub Ansari, Mohamed El Computer Systems and Vision Laboratory Computer Science Departement Faculty of Science University of Ibno Zohr BP 8106 Agadir80000 Morocco

ISBN: (纸本)9781538605516

Road sign recognition (RSR) systems are one of the main tasks of intelligent transportation systems (ITS). These systems employ vehicle mounted cameras to identify traffic signs while driving on the road. Their primary function is to inform the driver of recent traffic signs that may have been missed due to distraction or inattentiveness. In this work, a new method for road sign detection and recognition is proposed. The proposed approach is divided into three stages: first, a color segmentation method is used to extract regions of interest (ROIs). Then, we refer to polygonal approximation technique to detect triangular, rectangular, and circular shapes. The last stage aims at recognizing the detected signs using a new designed feature and SVM classifier. The proposed approach was tested on two publicly available datasets, and the results obtained are satisfying compared to the state-of-the-art methods. © 2017 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

引用

2018 3rd international conference on Communication,image and Signal processing（CCISP 2018）

作者： E Bustillos D Pour Yousefian Barfeh Department of Computer Science Adamson University

Shape similarity plays important role in human perception. Humans always look for similarities between the shape of what they see and the shape of what they saw via comparison. Shape similarity has many applications in different fields such as cognitive science, medicine and computer science. This is a study in which a system is designed and implemented to measure similarities of two circular drawing shapes. The system follows different steps and techniques related to digital image processing such as;binarization, morphological operations and image segmentation. The novelty of the system comes from image alignment in which some transformation is performed to eliminate size dependency in similarity measurement. The transformation works on changing the origin point followed by stretching. In this study 30 pairs of circular shapes are considered. The results shows the system has 91.38% accuracy in average while maximum accuracy among 30 pairs of samples is 99.98% and minimum accuracy is 69.15%.

关键词： frame Drawing Similarity Measurement Using Object Alignment Object

来源：评论

学校读者我要写书评

暂无评论

Segmental Deployment of Neural Network in Cloud Robotic System

Segmental Deployment of Neural Network in Cloud Robotic Syst...

引用

international conference on Cloud Computing and Internet of Things (CCIOT)

作者： Rongsen Liao Yu Guo Zhenqiang Mi Yang Yang School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

ISBN: (数字)9781538671412

ISBN: (纸本)9781538671429

In this paper, we describe a new method for ep neural networks in the field of computer vision, which can effectively solve the difficulty of applying deep learning in the cloud robotic system. By segmenting the trained network, most of the computing tasks can be cut out and offloaded to the cloud. By effective feature extraction and compression methods, the computing power of robot and cloud can be integrated and coordinated. A method of selecting the split points of the network model and a method of data transmission and compression in the communication between robots and cloud after segmenting are given based on the characteristics of machine vision tasks, and the theoretical analysis is carried out. In the experiment, the effectiveness of all the above methods is verified by comparing the compression capability, response time and network performance of the actual network model. The experimental results show that with the use of segmental methods in cloud robotic system, the task of deep network is processed in real time, while the performance is almost guaranteed.

关键词： Neural networks Robots Computational modeling Convolution Mobile handsets image coding Cloud computing

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168页 << < 111 112 113 114 115 116 117 118 119 120 > >>

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：