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

1,343 篇 会议
46 册 图书
18 篇 期刊文献

馆藏范围

1,407 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,046 篇 工学
- 738 篇 计算机科学与技术...
- 388 篇 软件工程
- 236 篇 电气工程
- 209 篇 信息与通信工程
- 191 篇 光学工程
- 127 篇 机械工程
- 109 篇 生物工程
- 96 篇 生物医学工程（可授...
- 89 篇 控制科学与工程
- 58 篇 电子科学与技术（可...
- 40 篇 化学工程与技术
- 28 篇 仪器科学与技术
- 23 篇 安全科学与工程
- 21 篇 交通运输工程
- 16 篇 材料科学与工程（可...
- 16 篇 土木工程
- 14 篇 建筑学
399 篇 理学
- 218 篇 物理学
- 155 篇 数学
- 119 篇 生物学
- 46 篇 统计学（可授理学、...
- 37 篇 化学
- 27 篇 系统科学
135 篇 医学
- 131 篇 临床医学
- 47 篇 基础医学(可授医学...
- 41 篇 药学(可授医学、理...
101 篇 管理学
- 56 篇 图书情报与档案管...
- 47 篇 管理科学与工程(可...
- 19 篇 工商管理
17 篇 农学
- 16 篇 作物学
11 篇 法学
6 篇 教育学
5 篇 经济学
4 篇 文学
1 篇 艺术学

主题

257 篇 computer vision
125 篇 image processing
122 篇 image segmentati...
93 篇 feature extracti...
83 篇 cameras
61 篇 image color anal...
41 篇 image edge detec...
41 篇 training
39 篇 deep learning
35 篇 three-dimensiona...
33 篇 image enhancemen...
32 篇 image reconstruc...
31 篇 images
29 篇 artificial intel...
28 篇 robustness
27 篇 object detection
27 篇 machine learning
25 篇 neural networks
24 篇 computational mo...
24 篇 pattern recognit...

机构

20 篇 computer vision ...
5 篇 indian statistic...
5 篇 indian institute...
5 篇 indian institute...
5 篇 department of co...
5 篇 computer vision ...
4 篇 techno india uni...
4 篇 department of co...
4 篇 jadavpur univers...
4 篇 department of ma...
4 篇 department of co...
4 篇 department of co...
4 篇 department of co...
3 篇 kentucky imaging...
3 篇 icteam universit...
3 篇 hong kong polyte...
3 篇 department of el...
3 篇 department of ma...
3 篇 indian institute...
3 篇 department of el...

作者

17 篇 raman balasubram...
11 篇 aly a. farag
9 篇 roy partha prati...
8 篇 balasubramanian ...
8 篇 a.a. farag
7 篇 dubey shiv ram
6 篇 arivazhagan s.
6 篇 shekar b.h.
6 篇 mishra deepak
5 篇 bhuyan m.k.
5 篇 lee hyo jong
5 篇 murala subrahman...
5 篇 chaudhuri bidyut...
5 篇 dorit merhof
5 篇 kumar sanjeev
5 篇 nain neeta
5 篇 jawahar c.v.
4 篇 asem ali
4 篇 nagabhushan p.
4 篇 ojha aparajita

语言

1,393 篇 英文
9 篇 中文
3 篇 俄文
2 篇 其他

检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

共 1407 条记录，以下是331-340 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：

Face expression recognition using histograms of oriented gradients with reduced features

Face expression recognition using histograms of oriented gra...

引用

international conference on computer vision and image processing, cvip 2016

作者： Kar, Nikunja Bihari Babu, Korra Sathya Jena, Sanjay Kumar Department of Computer Science and Engineering National Institute of Technology Rourkela769008 India

ISBN: (纸本)9789811021060

Facial expression recognition has been an emerging research area in last two decades. This paper proposes a new hybrid system for automatic facial expression recognition. The proposed method utilizes histograms of oriented gradients (HOG) descriptor to extract features from expressive facial images. Feature reduction techniques namely principal component analysis (PCA) and linear discriminant analysis (LDA) are applied to obtain the most important discriminant features. Finally, the discriminant features are fed to the back-propagation neural network (BPNN) classifier to determine the underlying emotions from expressive facial images. The Extended Cohn-Kanade dataset (CK+) is used to validate the proposed method. Experimental results indicate that the proposed system provides the better result as compared to state-of-the-art methods in terms of accuracy with the substantially lesser number of features. © Springer Science+Business Media Singapore 2017.

关键词： Hybrid systems

来源：评论

学校读者我要写书评

暂无评论

image Aesthetic Assessment: A Deep Learning Approach Using Class Activation Map 1

引用

5th international conference on computer vision and image processing, cvip 2020

作者： Sherashiya, Shyam Shikkenawis, Gitam Mitra, Suman K. Dhirubhai Ambani Institute of Information and Communication Technology Gandhinagar India C.R. Rao Advanced Institute of Mathematics Statistics and Computer Science Hyderabad India

ISBN: (数字)9789811610929

ISBN: (纸本)9789811610912

Aesthetics is concerned with the beauty and art of things in the world. Judging the aesthetics of images is a highly subjective task. Recently, deep learning-based approaches have achieved great success in image aesthetic assessment problem. In this paper, we have implemented various multi-channel Convolution Neural Network (CNN) architectures to classify images in high and low aesthetic quality. Class activation maps of images are used as input to one channel along with variation of raw images in the proposed two-channel deep network architecture. Various pre-trained deep learning models such as VGG19, InceptionV3, Resnet50 have been implemented in the proposed multi-channel CNN architecture. Experiments are reported on the AVA dataset, which shows improvement in the image aesthetic assessment task over existing approaches. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Network architecture

来源：评论

学校读者我要写书评

暂无评论

The multimodal edge of human aerobotic interaction

The multimodal edge of human aerobotic interaction

引用

2016 international conference on Interfaces and Human computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and computer Graphics, Visualization, computer vision and image processing, CGVcvip 2016

作者： Abioye, Ayodeji Opeyemi Prior, Stephen D. Thomas, Glyn T. Saddington, Peter Unmanned Air Vehicles Bulgaria Aerodynamics and Flight Mechanics Aeronautics Astronautics and Computational Engineering Faculty of Engineering and the Environment University of Southampton United Kingdom Tekever Ltd Southampton United Kingdom

ISBN: (纸本)9789898533524

This paper presents the idea of a multimodal human aerobotic interaction. An overview of the aerobotic system and its application is given. The joystick-based controller interface and its limitations is discussed. Two techniques are suggested as emerging alternatives to the joystick-based controller interface used in human aerobotic interaction. The first technique is a multimodal combination of speech, gaze, gesture, and other non-verbal cues already used in regular human-human interaction. The second is telepathic interaction via brain computer interfaces. The potential limitations of these alternatives is highlighted, and the considerations for further works are presented.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

MAX-MIN CONVOLUTIONAL NEURAL NETWORKS FOR image CLASSIFICATION 23

MAX-MIN CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATI...

引用

23rd IEEE international conference on image processing (ICIP)

作者： Blot, Michael Cord, Matthieu Thome, Nicolas Univ Paris 06 Sorbonne Univ CNRS LIP6 UMR 7606 4 Pl Jussieu F-75005 Paris France

ISBN: (纸本)9781467399616

Convolutional neural networks (CNN) are widely used in computer vision, especially in image classification. However, the way in which information and invariance properties are encoded through in deep CNN architectures is still an open question. In this paper, we propose to modify the standard convolutional block of CNN in order to transfer more information layer after layer while keeping some invariance within the network. Our main idea is to exploit both positive and negative high scores obtained in the convolution maps. This behavior is obtained by modifying the traditional activation function step before pooling. We are doubling the maps with specific activations functions, called MaxMin strategy, in order to achieve our pipeline. Extensive experiments on two classical datasets, MNIST and CIFAR-10, show that our deep MaxMin convolutional net outperforms standard CNN.

关键词： Convolutional neural network pooling activation function invariance image representation classification

来源：评论

学校读者我要写书评

暂无评论

Preliminary Investigation of Walking Motion Using a Combination of image and Signal processing

Preliminary Investigation of Walking Motion Using a Combinat...

引用

international conference on Computational Science and Computational Intelligence (CSIC)

作者： Schneider, Bradley Banerjee, Tanvi Wright State Univ Dept Comp Sci & Engn Fairborn OH 45324 USA

ISBN: (纸本)9781509055104

We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video in a controlled setting shows strong promise of being utilized in different activity monitoring applications such as in the eldercare environment, as well as for monitoring chronic healthcare conditions.

关键词： video analysis motion and tracking algorithms and applications gait analysis activity detection

来源：评论

学校读者我要写书评

暂无评论

A study on deep learning for breast cancer detection in histopathological images 4th

A study on deep learning for breast cancer detection in hist...

引用

4th international conference on computer vision and image processing, cvip 2019

作者： Singh, Oinam Vivek Choudhary, Prakash Thongam, Khelchandra Department of Computer Science and Engineering NIT Manipur Imphal India Department of Computer Science and Engineering NIT Hamipur Hamirpur India

ISBN: (纸本)9789811540172

Pathological examination is the most accurate method for the diagnosis of cancer. Breast cancer histopathology evaluation analyses the chemical and cellular characteristics of the cells of a suspicious breast tumor. A computer-aided automatic classifier with the help of machine learning can improve the diagnosis system in terms of accuracy and time consumption. These types of system can automatically distinguish a benign and malignant pattern in a breast histopathology image. It can reduce the workload of pathologists and can provide a more accurate process. In recent years, like in other areas, deep networks have also attracted for histopathology image analysis. Convolution Neural Network has become a preferred choice for images analysis including breast histopathology. In this paper, we review various deep learning concepts applied to breast cancer histopathology analysis and summarizes contributions to this field. We present a summary of the recent developments and a discussion about the best practices done using deep in breast histopathology analysis and improvements that can be done in future research. © Springer Nature Singapore Pte Ltd 2020.

关键词： image analysis

来源：评论

学校读者我要写书评

暂无评论

computer vision based Animal Collision Avoidance Framework for Autonomous Vehicles 5th

Computer Vision based Animal Collision Avoidance Framework f...

引用

5th international conference on computer vision and image processing, cvip 2020

作者： Gupta, Savyasachi Chand, Dhananjai Kavati, Ilaiah National Institute of Technology Warangal Warangal506004 India

ISBN: (纸本)9789811611025

Animals have been a common sighting on roads in India which leads to several accidents between them and vehicles every year. This makes it vital to develop a support system for driverless vehicles that assists in preventing these forms of accidents. In this paper, we propose a neoteric framework for avoiding vehicle-to-animal collisions by developing an efficient approach for the detection of animals on highways using deep learning and computer vision techniques on dashcam video. Our approach leverages the Mask R-CNN model for detecting and identifying various commonly found animals. Then, we perform lane detection to deduce whether a detected animal is on the vehicle’s lane or not and track its location and direction of movement using a centroid based object tracking algorithm. This approach ensures that the framework is effective at determining whether an animal is obstructing the path or not of an autonomous vehicle in addition to predicting its movement and giving feedback accordingly. This system was tested under various lighting and weather conditions and was observed to perform relatively well, which leads the way for prominent driverless vehicle’s support systems for avoiding vehicular collisions with animals on Indian roads in real-time. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Animals

来源：评论

学校读者我要写书评

暂无评论

COMBINING ISOPHOTE AND CASCADE CLASSIFIER INFORMATION FOR PRECISE PUPIL LOCALIZATION 23

COMBINING ISOPHOTE AND CASCADE CLASSIFIER INFORMATION FOR PR...

引用

23rd IEEE international conference on image processing (ICIP)

作者： Vater, Sebastian Leon, Fernando Puente Karlsruhe Inst Technol IIIT D-76187 Karlsruhe Germany

ISBN: (纸本)9781467399616

This paper investigates precise pupil center localization in low-resolution images. Being an essential preprocessing step in many applications such as gaze estimation, face alignment as well as human-computer interaction, robust, precise, and efficient methods are necessary. We present a method for accurate eye center localization operating with images from simple off-the-shelf hardware such as webcams. The proposed method utilizes the isophote representation that allows to find pupil center candidates by introducing a novel voting mechanism for pixel weights. To cope with multiple local maxima resulting from the isophote voting map, we combine this information with quasi-continuous responses of a modified cascade classifier framework utilizing appearance-based features. We conduct experiments on the BioID database and show that the presented method outperforms results of existing methods within an error range of the pupil diameter while running at 10 fps on a standard CPU with 3.3 GHz in a Matlab implementation.

关键词： image processing machine vision feature extraction object detection eye localization

来源：评论

学校读者我要写书评

暂无评论

3D ROAD CURB EXTRACTION FROM image SEQUENCE FOR AUTOMOBILE PARKING ASSIST SYSTEM 23

3D ROAD CURB EXTRACTION FROM IMAGE SEQUENCE FOR AUTOMOBILE P...

引用

23rd IEEE international conference on image processing (ICIP)

作者： Prinet, Veronique Wang, JinSong Lee, JongHo Wettergreen, David Gen Motors R&D Detroit MI 48202 USA Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA

ISBN: (纸本)9781467399616

We extract 3D curb from video sequence, using a single camera equipped with fish-eye lens and located at the front/rear of the vehicle. The challenge in extracting curbs from images lies in their small size and their lack of texture. We show that by appropriately exploiting appearance features, 3D geometry, and temporal information, one can reliably detect and localize the curbs in the 3D scene. The main underlying assumption of our model is that the road surface is flat and that the curb is approximately orthogonal to the road plane. We collected nine videos with ground truth, under day-time sunny weather condition, up to 2m range. Our experimental results compare favorably wrt the current the state-of-the-art on our database -90% precision rate in average and over 85% accuracy in curb height estimation.

关键词： Advanced Driving Assist Systems Video processing computer vision

来源：评论

学校读者我要写书评

暂无评论

Creak: Color-based retina keypoint descriptor

Creak: Color-based retina keypoint descriptor

引用

2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Chen, Yi-An Chan, Chia-Hsin Tsai, Wen-Jiin Department of Computer Science National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)1601324421

Effectively feature matching between images is key to many computer vision applications. Recently, binary descriptors are attracting increasing attention for their low computational complexity and small memory requirement. However, most binary descriptors are based on intensity comparisons of grayscale images and did not consider color information. In this paper, a novel binary descriptor inspired by human retina is proposed, which considers not only gray values of pixels but also color information. Experimental results show that the proposed feature descriptor spends fewer storage spaces while having better precision level than other popular binary descriptors. Besides, the proposed feature descriptor has the fastest matching speed among all the descriptors under comparison, which makes it suitable for real-time applications. © CSREA Press.

关键词： Color

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141页 << < 30 31 32 33 34 35 36 37 38 39 > >>

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：