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

1,851 篇 会议
120 册 图书
40 篇 期刊文献

馆藏范围

2,011 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,517 篇 工学
- 1,317 篇 计算机科学与技术...
- 750 篇 软件工程
- 430 篇 电气工程
- 252 篇 信息与通信工程
- 251 篇 光学工程
- 195 篇 生物工程
- 118 篇 生物医学工程（可授...
- 117 篇 控制科学与工程
- 95 篇 电子科学与技术（可...
- 87 篇 机械工程
- 68 篇 化学工程与技术
- 59 篇 安全科学与工程
- 37 篇 仪器科学与技术
- 37 篇 交通运输工程
- 34 篇 材料科学与工程（可...
- 22 篇 建筑学
- 18 篇 农业工程
620 篇 理学
- 324 篇 物理学
- 232 篇 数学
- 209 篇 生物学
- 71 篇 化学
- 62 篇 统计学（可授理学、...
- 28 篇 系统科学
345 篇 医学
- 333 篇 临床医学
- 61 篇 基础医学(可授医学...
- 48 篇 药学(可授医学、理...
174 篇 管理学
- 121 篇 图书情报与档案管...
- 66 篇 管理科学与工程(可...
24 篇 农学
- 22 篇 作物学
23 篇 法学
- 21 篇 社会学
12 篇 教育学
8 篇 经济学
5 篇 军事学
2 篇 文学

主题

232 篇 computer vision
101 篇 image processing
92 篇 deep learning
88 篇 artificial intel...
84 篇 image processing...
73 篇 image segmentati...
72 篇 computer graphic...
68 篇 feature extracti...
63 篇 pattern recognit...
41 篇 object detection
41 篇 convolutional ne...
40 篇 machine learning
37 篇 computational mo...
36 篇 image enhancemen...
34 篇 image reconstruc...
33 篇 computer imaging...
32 篇 graphics process...
32 篇 image classifica...
31 篇 face recognition
31 篇 visualization

机构

19 篇 indian statistic...
15 篇 indian institute...
12 篇 indian inst tech...
9 篇 indian institute...
9 篇 indian institute...
9 篇 indian inst tech...
8 篇 indian institute...
8 篇 indian institute...
8 篇 indian inst tech...
8 篇 indian institute...
7 篇 indian stat inst...
7 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 indian inst sci ...
6 篇 iit kharagpur kh...
6 篇 indian inst tech...
6 篇 faculty of elect...
6 篇 department of co...

作者

31 篇 chaudhury santan...
25 篇 mukherjee jayant...
25 篇 chaudhuri subhas...
21 篇 das sukhendu
16 篇 lall brejesh
15 篇 babu r. venkates...
15 篇 raman shanmugana...
13 篇 das partha prati...
13 篇 mukherjee dipti ...
13 篇 harit gaurav
13 篇 mishra deepak
11 篇 chanda bhabatosh
11 篇 mukherjee snehas...
10 篇 biswas soma
10 篇 raman balasubram...
10 篇 jawahar c.v.
10 篇 biswas prabir ku...
10 篇 sur arijit
9 篇 banerjee biplab
9 篇 balasubramanian ...

语言

1,970 篇 英文
37 篇 其他
6 篇 中文
2 篇 俄文

检索条件"任意字段=6th Indian Conference on Computer Vision, Graphics and Image Processing"

共 2011 条记录，以下是481-490 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：

Scale and Rotation Corrected CNNs (SRC-CNNs) for Scale and Rotation Invariant Character Recognition 11

Scale and Rotation Corrected CNNs (SRC-CNNs) for Scale and R...

引用

11th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Swetha, V. C. Mishra, Deepak Gorthi, Sai Subrahmanyam Indian Inst Space Sci & Technol Thiruvananthapuram Kerala India Indian Inst Technol Tirupati Andhra Pradesh India

ISBN: (纸本)9781450366151

Last decade has witnessed rapid growth for the popularity of Convolutional Neural Networks (CNNs), in detecting and classifying objects. the self trainable nature of CNNs makes them the strongest candidate as a classifier and a feature extractor. However, many of the existing CNN architectures fail recognizing texts or objects under input rotation and scaling. this paper introduces an elegant approach, 'Scale and Rotation Corrected CNN (SRC-CNN)' for scale and rotation invariant text recognition, exploiting the concept of principal component of characters. Prior to training and testing with baseline CNN, 'SRC-CNN' maps each character image to a reference orientation and scale, which is again derived from the character image itself. SRC-CNN is capable of recognizing characters in a document, even though they differ in orientation and scale greatly. the proposed method does not demand any training with samples which are scaled or rotated. the performance of proposed approach is validated on different character data sets like MNIST, MNIST_rot_12k and English alphabets and compared with state of the art rotation invariant classification networks. SRC-CNN is a generalized approach and can be extended for rotation and scale invariant classification of many other datasets as well, choosing any appropriate baseline CNN. Here we have demonstrated the generality of the proposed SRC-CNN on MNIST Fashion data set and found to perform well in rotation and scale invariant classification of objects as well. this paper demonstrates how the basic PCA based rotation and scale invariant image recognition can be integrated to CNN for achieving better rotational and scale invariances in classification.

关键词： Character recognition

来源：评论

学校读者我要写书评

暂无评论

Deep fusion of visual signatures for client-server facial analysis 16

Deep fusion of visual signatures for client-server facial an...

引用

10th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Bhattarai, Binod Sharma, Gaurav Jurie, Frederic Normandie Univ UNICAEN ENSICAEN CNRSGREYC Caen France IIT Kanpur Comp Sci & Engn Kanpur Uttar Pradesh India

ISBN: (纸本)9781450347532

Facial analysis is a key technology for enabling humanmachine interaction. In this context, we present a client-server framework, where a client transmits the signature of a face to be analyzed to the server, and, in return, the server sends back various information describing the face e.g. is the person male or female, is she/he bald, does he have a mustache, etc. We assume that a client can compute one (or a combination) of visual features;from very simple and efficient features, like Local Binary Patterns, to more complex and computationally heavy, like Fisher Vectors and CNN based, depending on the computing resources available. the challenge addressed in this paper is to design a common universal representation such that a single merged signature is transmitted to the server, whatever be the type and number of features computed by the client, ensuring nonetheless an optimal performance. Our solution is based on learning of a common optimal subspace for aligning the different face features and merging them into a universal signature. We have validated the proposed method on the challenging CelebA dataset, on which our method outperforms existing state-of-art methods when rich representation is available at test time, while giving competitive performance when only simple signatures (like LBP) are available at test time due to resource constraints on the client.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

Recognizing Facial Expressions Using Novel Motion Based Features 16

Recognizing Facial Expressions Using Novel Motion Based Feat...

引用

10th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Mukherjee, Snehasis Vamshi, Bandla Reddy, K. V. Sai Vineeth Kumar Krishna, Repala Vamshi Harish, S. V. S. IIIT Chittoor Sricity India

ISBN: (纸本)9781450347532

this paper introduces two novel motion based features for recognizing human facial expressions. the proposed motion features are applied for recognizing facial expressions from a video sequence. the proposed bag-of-words based scheme represents each frame of a video sequence as a vector depicting local motion patterns during a facial expression. the local motion patterns are captured by an efficient derivation from optical flow. Motion features are clustered and stored as words in a dictionary. We further generate a reduced dictionary by ranking the words based on some ambiguity measure. We prune out the ambiguous words and continue with key words in the reduced dictionary. the ambiguity measure is given by applying a graph-based technique, where each word is represented as a node in the graph. Ambiguity measures are obtained by modelling the frequency of occurrence of the word during the expression. We form expression descriptors for each expression from the reduced dictionary, by applying an efficient kernel. the training of the expression descriptors are made following an adaptive learning technique. We tested the proposed approach with standard dataset. the proposed approach shows better accuracy compared to the state-of-the-art.

关键词： Facial expression Optical flow GWOF WOF Adaptive learning

来源：评论

学校读者我要写书评

暂无评论

Jointly Learning Convolutional Representations to Compress Radiological images and Classify thoracic Diseases in the Compressed Domain 11

Jointly Learning Convolutional Representations to Compress R...

引用

11th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Ranjan, Ekagra Paul, Soumava Kapoor, Siddharth Kar, Aupendu Sethuraman, Ramanathan Sheet, Debdoot Indian Inst Technol Gauhati India Indian Inst Technol Kharagpur W Bengal India Natl Inst Technol Mangalore Karnataka India Intel Technol India Pvt Ltd Bangalore Karnataka India

ISBN: (纸本)9781450366151

Deep learning models trained in natural images are commonly used for different classification tasks in the medical domain. Generally, very high dimensional medical images are down-sampled by using interpolation techniques before feeding them to deep learning models that are imageNet compliant and accept only low-resolution images of size 224 x 224 px. this popular technique may lead to the loss of key information thus hampering the classification. Significant pathological features in medical images typically being small sized and highly affected. To combat this problem, we introduce a convolutional neural network (CNN) based classification approach which learns to reduce the resolution of the image using an autoencoder and at the same time classify it using another network, while both the tasks are trained jointly. this algorithm guides the model to learn essential representations from high-resolution images for classification along with reconstruction. We have used the publicly available dataset of chest x-rays to evaluate this approach and have outperformed state-of-the-art on test data. Besides, we have experimented with the effects of different augmentation approaches in this dataset and report baselines using some well known imageNet class of CNNs.

关键词： Convolutional autoencoder compression X-Ray classification

来源：评论

学校读者我要写书评

暂无评论

Generic TV Advertisement Detection using Progressively Balanced Perceptron Trees 16

Generic TV Advertisement Detection using Progressively Balan...

引用

10th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Kannao, Raghvendra Guha, Prithwijit IIT Guwahati Dept EEE Gauhati 781039 Assam India

ISBN: (纸本)9781450347532

Automatic detection of TV advertisements is of paramount importance for various media monitoring agencies. Existing works in this domain have mostly focused on news channels using news specific features. Most commercial products use near copy detection algorithms instead of generic advertisement classification. A generic detector needs to handle inter-class and intra-class imbalances present in data due to variability in content aired across channels and frequent repetition of advertisements. Imbalances present in data make classifiers biased towards one of the classes and thus require special treatment. We propose to use tree of perceptrons to solve this problem. the training data available for each perceptron node is balanced using cluster based over sampling and TOMEK link cleaning as we traverse the tree downwards. the trained perceptron node then passes the original unbalanced data to its children. this process is repeated recursively till we reach the leaf nodes. We call this new algorithm as "Progressively Balanced Perceptron Tree". We have also contributed a TV advertisements dataset consisting of 250 hours of videos recorded from five non-news TV channels of different genres. Experimentations on this dataset have shown that the proposed approach has comparatively superior and balanced performance with respect to six baseline methods. Our proposal generalizes well across channels, with varying training data sizes and achieved a top Fl-score of 97% in detecting advertisements.

关键词： Trees (mathematics)

来源：评论

学校读者我要写书评

暂无评论

computer vision Systems 1

引用

丛书名： Lecture Notes in computer Science

1000年

ISBN: (数字)9783540795476

ISBN: (纸本)9783540795469

In the past few years, with the advances in microelectronics and digital te- nology, cameras became a widespread media. this, along with the enduring increase in computing power boosted the development of computer vision s- tems. the International conference on computer vision Systems (ICVS) covers the advances in this area. this is to say that ICVS is not and should not be yet another computer vision conference. the ?eld of computer vision is fully covered by many well-established and famous conferences and ICVS di?ers from these by covering the systems point of view. ICVS 2008 was the 6th International conference dedicated to advanced research on computer vision systems. the conference, continuing a series of successful events in Las Palmas, Vancouver, Graz, New York and Bielefeld, in 2008 was held on Santorini. In all, 128 papers entered the review process and each was reviewed by three independent reviewers using the double-blind review method. Of these, 53 - pers were accepted (23 as oral and 30 as poster presentation). there were also two invited talks by P. Anandan and by Heinrich H. Bultho ¨ ?. the presented papers cover all aspects of computer vision systems, namely: cognitive vision, monitor and surveillance, computer vision architectures, calibration and reg- tration, object recognition and tracking, learning, human—machine interaction and cross-modal systems.

关键词： image processing and computer vision computer Imaging, vision, Pattern Recognition and graphics computer graphics Pattern Recognition

来源：评论

学校读者我要写书评

暂无评论

GraphVL: Graph-Enhanced Semantic Modeling via vision-Language Models for Generalized Class Discovery 24

GraphVL: Graph-Enhanced Semantic Modeling via Vision-Languag...

引用

15th indian conference on computer vision graphics and image processing

作者： Solanki, Bhupendra Nair, Ashwin R. Singha, Mainak Mukhopadhyay, Souradeep Jha, Ankit Banerjee, Biplab Indian Inst Technol Mumbai Maharashtra India Indian Inst Sci Educ & Res Thiruvananthapuram Thiruvananthapuram Kerala India Indian Inst Sci Bangalore Karnataka India LNM Inst Informat Technol Jaipur Rajasthan India

ISBN: (纸本)9798400710759

Generalized Category Discovery (GCD) aims to cluster unlabeled images into known and novel categories using labeled images from known classes. To address the challenge of transferring features from known to unknown classes while mitigating model bias, we introduce GraphVL, a novel approach for vision-language modeling in GCD, leveraging CLIP. Our method integrates a graph convolutional network (GCN) with CLIP's text encoder to preserve class neighborhood structure. We also employ a lightweight visual projector for image data, ensuring discriminative features through margin-based contrastive losses for image-text mapping. this neighborhood preservation criterion effectively regulates the semantic space, making it less sensitive to known classes. Additionally, we learn textual prompts from known classes and align them to create a more contextually meaningful semantic feature space for the GCN layer using a contextual similarity loss. Finally, we represent unlabeled samples based on their semantic distance to class prompts from the GCN, enabling semi-supervised clustering for class discovery and minimizing errors. Our experiments on seven benchmark datasets consistently demonstrate the superiority of GraphVL when integrated with the CLIP backbone.

关键词： Class Discovery Contrastive Learning Graph Convolutional Networks Unsupervised learning vision-Language models

来源：评论

学校读者我要写书评

暂无评论

Improving Person Re-Identification Systems: A Novel Score Fusion Framework for Rank-n Recognition 16

Improving Person Re-Identification Systems: A Novel Score Fu...

引用

10th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Barman, Arko Shah, Shishir K. Univ Houston 4800 Calhoun Rd Houston TX 77004 USA

ISBN: (纸本)9781450347532

Person re-identification is an essential technique for video surveillance applications. Most existing algorithms for person re-identification deal with feature extraction, metric learning or a combination of both. Combining successful state-ofthe-art methods using score fusion from the perspective of person re-identification has not yet been widely explored. In this paper, we endeavor to boost the performance of existing systems by combining them using a novel score fusion framework which requires no training or dataset-dependent tuning of parameters. We develop a robust and efficient method called Unsupervised Posterior Probability-based Score Fusion (UPPSF) for combination of raw scores obtained from multiple existing person re-identification algorithms in order to achieve superior recognition rates. We propose two novel generalized linear models for estimating the posterior probabilities of a given probe image matching each of the gallery images. Normalization and combination of these posterior probability values computed from each of the existing algorithms individually, yields a set of unified scores, which is then used for ranking the gallery images. Our score fusion framework is inherently capable of dealing with different ranges and distributions of matching scores emanating from existing algorithms, without requiring any prior knowledge about the algorithms themselves, effectively treating them as "black-box" methods. Experiments on widely-used challenging datasets like VIPeR, CUHK01, CUHK03, EthZ1 and EthZ2 demonstrate the efficiency of UPPSF in combining multiple algorithms at the score level.

关键词： Person Re-identification Score Fusion Posterior Probability Estimation

来源：评论

学校读者我要写书评

暂无评论

computer vision and image processing 1

引用

丛书名： Communications in computer and Information Science

1000年

作者： Satish Kumar Singh P. Nagabhushan Partha Roy Balasubramanian Raman

ISBN: (数字)9789811610868

ISBN: (纸本)9789811610851

this three-volume set (CCIS 1376-1378) constitutes the refereed proceedings of the 5th International conference on computer vision and image processing, CVIP 2020, held in Prayagraj, India, in December 2020. Due to the COVID-19 pandemic the conference was partially held online.;the 134 papers papers were carefully reviewed and selected from 352 submissions. the papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.

关键词： computer Imaging, vision, Pattern Recognition and graphics Artificial Intelligence computer Applications Systems and Data Security computers and Education

来源：评论

学校读者我要写书评

暂无评论

An experimental study to evaluate influence of usability on learning behaviour 12

An experimental study to evaluate influence of usability on ...

引用

12th International conference on Interfaces and Human computer Interaction 2018, 11th International conference on Game and Entertainment Technologies 2018 and 12th International conference on computer graphics, Visualization, computer vision and image processing 2018, part of the Multi conference on computer Science and Information Systems 2018, MCCSIS 2018

作者： Kumar, Jyotish Khare, Aarati Prakash Kumar, Jyoti Indian Institute of technology Delhi New Delhi India

ISBN: (纸本)9789898533791

Usability has been one of the well-established quality measures of HCI systems. Designing an efficient e-learning system is a complex process and requires usability testing at various stages. Unlike conventional HCI systems, e-learning system is not only designed to interact with users but also to facilitate learning to user. In order to develop learner centric system design, there is a need to find the ways in which learning and usability interact. In this study, six learning behaviour markers were identified which can be integrated with conventional usability testing. this paper investigates a relationship between usability attributes and learning behaviour through usability testing of two different e-learning websites with similar in content but different in usability. Other than usability attributes and learning behaviour markers, Galvanic skin response (GSR) of users was also recorded and compared to support the usability testing results. Significant difference (p © 2018.

关键词： Websites

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202页 << < 45 46 47 48 49 50 51 52 53 54 > >>

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：