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

921 篇 会议
61 册 图书
23 篇 期刊文献

馆藏范围

1,005 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

822 篇 工学
- 719 篇 计算机科学与技术...
- 375 篇 软件工程
- 336 篇 电气工程
- 109 篇 信息与通信工程
- 105 篇 光学工程
- 91 篇 生物工程
- 54 篇 生物医学工程（可授...
- 41 篇 电子科学与技术（可...
- 35 篇 化学工程与技术
- 28 篇 控制科学与工程
- 21 篇 机械工程
- 15 篇 安全科学与工程
- 12 篇 仪器科学与技术
- 10 篇 土木工程
- 8 篇 建筑学
- 8 篇 航空宇航科学与技...
- 7 篇 交通运输工程
281 篇 理学
- 127 篇 物理学
- 118 篇 数学
- 94 篇 生物学
- 39 篇 统计学（可授理学、...
- 33 篇 化学
- 11 篇 系统科学
269 篇 医学
- 269 篇 临床医学
- 25 篇 基础医学(可授医学...
- 22 篇 药学(可授医学、理...
75 篇 管理学
- 63 篇 图书情报与档案管...
- 13 篇 管理科学与工程(可...
- 8 篇 工商管理
10 篇 法学
- 9 篇 社会学
4 篇 农学
3 篇 经济学
1 篇 教育学

主题

46 篇 computer graphic...
44 篇 artificial intel...
42 篇 image processing...
33 篇 computer vision
29 篇 deep learning
27 篇 pattern recognit...
25 篇 image segmentati...
22 篇 computer imaging...
20 篇 image enhancemen...
19 篇 graphics process...
17 篇 face recognition
17 篇 image reconstruc...
15 篇 cameras
13 篇 image processing
11 篇 generative adver...
10 篇 object detection
10 篇 computer communi...
10 篇 pixels
10 篇 feature extracti...
10 篇 machine learning

机构

15 篇 indian institute...
11 篇 indian statistic...
11 篇 carnegie mellon ...
11 篇 hebrew universit...
11 篇 google research
10 篇 indian inst tech...
8 篇 indian stat inst...
8 篇 indian inst tech...
7 篇 indian institute...
7 篇 indian institute...
7 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 technische unive...
7 篇 indian inst sci ...
6 篇 indian institute...
6 篇 indian institute...
6 篇 indian inst tech...
6 篇 technical univer...
6 篇 indian inst tech...
6 篇 department of co...

作者

31 篇 chaudhury santan...
26 篇 mukherjee jayant...
25 篇 chaudhuri subhas...
19 篇 das sukhendu
15 篇 babu r. venkates...
14 篇 das partha prati...
14 篇 lall brejesh
14 篇 raman shanmugana...
13 篇 harit gaurav
12 篇 mukherjee dipti ...
12 篇 chanda bhabatosh
12 篇 mishra deepak
11 篇 martial hebert
11 篇 yair weiss
11 篇 vittorio ferrari
11 篇 cristian sminchi...
11 篇 biswas prabir ku...
10 篇 banerjee biplab
10 篇 biswas soma
10 篇 sur arijit

语言

998 篇 英文
4 篇 中文
3 篇 俄文
2 篇 其他

检索条件"任意字段=15th Indian Conference on Computer Vision Graphics and Image Processing"

共 1005 条记录，以下是811-820 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：

Split and Knit: 3D Fingerprint Capture with a Single Camera 13

Split and Knit: 3D Fingerprint Capture with a Single Camera

引用

13th indian conference on computer vision, graphics, and image processing, ICVGIP 2022

作者： Srivastava, Apoorva Namboodiri, Anoop Biometrics and Secure ID Lab CVIT IIIT Hyderabad India

ISBN: (纸本)9781450398237

3D fingerprint capture is less sensitive to skin moisture levels and avoids skin deformation, which is common in contact-based sensors, in addition to capturing depth information. Unfortunately, its adoption is limited due to high cost and system complexity. Photometric stereo provides an opportunity to build low-cost, simple sensors capable of high-quality 3D capture. However, it assumes that the surface being imaged is lambertian (unlike our fingers). We introduce the Split and Knit algorithm (SnK), a 3D reconstruction pipeline based on the photometric stereo for finger surfaces. It introduces an efficient way of estimating the direct illumination component, thus allowing us to do a higher-quality reconstruction of the entire finger surface. the algorithm also introduces a novel method to obtain the overall finger shape under NIR illumination, all using a single camera. Finally, we combine the overall finger shape and the ridge-valley point cloud to obtain a 3D finger phalange. the high-quality 3D reconstruction also results in better matching accuracy of the captured fingerprints. 1 © 2022 ACM.

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Homomorphic incremental directional averaging for noise suppression in SAR images 6th

Homomorphic incremental directional averaging for noise supp...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Aswatha, Shashaank M. Mukhopadhyay, Jayanta Biswas, Prabir K. Aikat, Subhas Indian Institute Technology Kharagpur KharagpurWest Bengal721 302 India

ISBN: (纸本)9789811300196

In recent days, it is found that Synthetic Aperture Radar (SAR) images can be a very useful mode for observing and understanding the surface of Earth. the images formed under SAR modality usually suffer from multiplicative noise, particularly in single-look-complex (SLC) mode. there are extensive works in the literature for denoising SAR data, which are usually applied on amplitude data, or on coherency/covariance data. In this paper, we propose a two-channel filtering technique for noise suppression in complex SAR data. the rectangular format of complex SAR data is represented in phasor form to execute noise filtering over amplitude and phase independently, and then converted back to the rectangular format for subsequent applications. In this approach, it is observed that, the surface texture information is visibly retained while suppressing the noise considerably well, in comparison to reference multi-look image. As an application, we show the advantage of proposed noise suppression technique in classification of SAR images. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Synthetic aperture radar

来源：评论

学校读者我要写书评

暂无评论

Structure Preserving image Inpainting Using Edge Priors with Contextual Attention 7th

Structure Preserving Image Inpainting Using Edge Priors with...

引用

7th National conference on computer vision, Pattern Recognition, image processing, and graphics, NCVPRIPG 2019

作者： Singh, Ashish Kumar Agrawal, Praveen Dhiman, Ankit Raj, Rishav Bajpai, Pankaj Kumar Harbhajanka, Yash Samsung R&D Institute Bangalore Bangalore India

ISBN: (纸本)9789811586965

Deep learning techniques have produced plausible results for both regular and irregular masks for challenging task of image inpainting. Few approaches make use of extra information like edge priors for generator network, which preserves the structure which is blurry and distorted. On the other hand, certain approaches use surrounding patches to flow information in the missing regions, which in some scenarios can lead to erroneous output. Motivated by these approaches, we propose a three-stage architecture, which consists of an Edge Generator, followed by a Multi-Branch image Generator and a Contextual Attention layer to generate high quality plausible patches in the input hole image. We evaluate the proposed architecture on the ICME 2019 image Inpainting challenge and places2 dataset. the proposed method out-performs state of the art both quantitatively and qualitatively. this model can process rectangular holes at arbitrary locations. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Revealing what to extract from where, for object-centric content based image retrieval (CBIR) 14

Revealing what to extract from where, for object-centric con...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Gupta, Nitin Das, Sukhendu Chakraborti, Sutanu Dept. of CS and E IIT Madras India

ISBN: (纸本)1595930361

Content Based image Retrieval (CBIR) techniques retrieve similar digital images from a large database. As the user often does not provide any clue (indication) of the region of interest in a query image, most methods of CBIR rely on a representation of the global content of the image. the desired content in an image is often localized (e.g. car appearing salient in a street) instead of being holistic, demanding the need for an object-centric CBIR. We propose a biologically inspired framework WOW ("What"Object is "Where") for this purpose. Design of WOW framework is motivated by the cognitive model of human visual perception and feature integration theory (FIT). the key contributions in the proposed approach are: (i) Feedback mechanism between Recognition ("What") and Localization ("Where") modules (both supervised), for a cohesive decision based on mutual consensus;(ii) Hierarchy of visual features (based on FIT) for an efficient recognition task. Integration of information from the two channels ("What" and "Where") in an iterative feedback mechanism, helps to filter erroneous contents in the outputs of individual modules. Finally, using a similarity criteria based on HOG features (spatially localized by WOW) for matching, our system effectively retrieves a set of rank-ordered samples from the gallery. Experimentation done on various real-life datasets (including PASCAL) exhibits the superior performance of the proposed method. Copyright 2014 ACM.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Super pixel clustering via Kernel Density Estimation 14

Super pixel clustering via Kernel Density Estimation

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Sheth, Chintak Venkatesh Babu, R. BITS Pilani K. K. Birla Goa Campus Bypass Road National Highway 17B Zuarinagar Goa India Supercomputer Education and Research Centre Indian Institute of Science Bangalore560012 India

ISBN: (纸本)1595930361

Super pixels, which are a result of over-segmentation provide a reasonable compromise between working at pixel level versus with few optimally segmented regions. One fundamental challenge is that of defining the search space for merging. A naive approach of performing iterative clustering on the local neighborhood would be prone to under segmentation. In this paper, we develop a framework for generating non-compact super pixels by performing clustering on compact super pixels. We define the optimal search space by generating both over-segmented and under-segmented clustering of compact super pixels. Using this spatial information of the under-segmented scale, we look to improve the over-segmented scale. Our work is based on performing Kernel Density Estimation in 1D and further refining it using angular quantization. In all we propose three angular quantization formulations to generate the three scales of segmentation. Our results and comparison with the state-of-the-art super pixel algorithms show that merging a large number of super pixels with our algorithm is able to provide better results than using the underlying super pixel algorithm to obtain a smaller number of super pixels. Copyright 2014 ACM.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Feature generation for long-tail classification 21

Feature generation for long-tail classification

引用

12th indian conference on computer vision, graphics and image processing, ICVGIP 2021

作者： Vigneswaran, Rahul Law, Marc T. Balasubramanian, Vineeth N. Tapaswi, Makarand Indian Institute of Technology Hyderabad India NVIDIA IIIT Hyderabad India

ISBN: (纸本)9781450391276

the visual world naturally exhibits an imbalance in the number of object or scene instances resulting in a long-tailed distribution. this imbalance poses significant challenges for classification models based on deep learning. Oversampling instances of the tail classes attempts to solve this imbalance. However, the limited visual diversity results in a network with poor representation ability. A simple counter to this is decoupling the representation and classifier networks and using oversampling only to train the classifier. In this paper, instead of repeatedly re-sampling the same image (and thereby features), we explore a direction that attempts to generate meaningful features by estimating the tail category's distribution. Inspired by ideas from recent work on few-shot learning [53], we create calibrated distributions to sample additional features that are subsequently used to train the classifier. through several experiments on the CIFAR-100-LT (long-tail) dataset with varying imbalance factors and on mini-imageNet-LT (long-tail), we show the efficacy of our approach and establish a new state-of-the-art. We also present a qualitative analysis of generated features using t-SNE visualizations and analyze the nearest neighbors used to calibrate the tail class distributions. Our code is available at https://***/rahulvigneswaran/TailCalibX. © 2021 ACM.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Advances in Multimedia Modeling 1

引用

丛书名： Lecture Notes in computer Science

1000年

作者： Benoit Huet Alan Smeaton Ketan Mayer-Patel Yannis Avrithis

ISBN: (数字)9783540928928

ISBN: (纸本)9783540928911

th Welcome to the 15 International Multimedia Modeling conference (MMM 2009), held January 7–9, 2009 at EURECOM, Sophia-Antipolis, France. MMM is a leadinginternationalconference for researchersandindustry practitionersto share their new ideas, original research results and practical development ex- riences from all multimedia-related areas. MMM 2009 was held in co-operation with the ACM Special Interest Group on MultiMedia (ACM SIGMM). It was a great honor to host MMM 2009, one of the most long-standing th multimedia conferences, at EURECOM in Sophia-Antipolis, France. the 15 edition of MMM marked the return of the conference to Europe after numerous years of activity in Asia, and we are proud to have organized such a prestigious conference on the French Riviera. EURECOM is an engineering school in the domain of information and communication technology and a research center in communication systems. Since its creation in 1991 by TELECOM ParisTech and EPFL, it has developed strong international links with both academic and industrial partners. the heart of EURECOM is its internationally renowned research activities which focus on three areas: networking and security, mobile communications, and multimedia.

关键词： Multimedia Information Systems image processing and computer vision computer graphics Information Storage and Retrieval computer Communication Networks Information Systems Applications (incl. Internet)

来源：评论

学校读者我要写书评

暂无评论

Text and non-text separation in scanned color-official documents 10

Text and non-text separation in scanned color-official docum...

引用

10th indian conference on computer vision, graphics and image processing, ICVGIP 2016

作者： Nandedkar, Amit Vijay Mukherjee, Jayanta Sural, Shamik Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Kharagpur India

Official documents consist of text and non-textual elements such as logo, stamp, and signature. Separation of these elements from a scanned document plays a significant role in document image retrieval, recognition, and verification. this paper presents a novel scheme to separate text and non-text elements of official documents using part-based features. In this work, we exploit the fact that intensity distributions of text and non-text elements in HSV color space are of distinctive nature. A new approach to compute part-based features using S and V channels is proposed. the classification of text and non-text components is performed based on majority voting scheme and K-approximate nearest neighbors. the knowledge base acquired during training is indexed using kD-tree indexing scheme. Subsequently, the method is extended for detection of logo, stamp, and signature. Experimental results show the effectiveness of the proposed approach. © Springer International Publishing AG 2017.

关键词： Nearest neighbor search

来源：评论

学校读者我要写书评

暂无评论

Parametric dictionaries and feature augmentation for continuous domain adaptation 14

Parametric dictionaries and feature augmentation for continu...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Shekhar, Sumit Shroff, Nitesh Chellappa, Rama Adobe Research Bangalore India Light Paolo Alto United States University of Maryland College Park United States

ISBN: (纸本)1595930361

In this paper, we study methods for learning classifiers for the case when there is a variation introduced by an underlying continuous parameter θ representing transformations like blur, pose, time, etc. First, we consider the task of learning dictionary-based representation for such cases. Sparse representations driven by data-derived dictionaries have produced state-of-the-art results in various image restoration and classification tasks. While significant advances have been made in this direction, most techniques have focused on learning a single dictionary to represent all variations in the data. In this paper, we show that dictionary learning can be significantly improved by explicitly parameterizing the dictionaries for θ. We develop an optimization framework to learn parametric dictionaries that vary smoothly with θ. We propose two optimization approaches, (a) least squares approach, and (b) the regularized K-SVD approach. Furthermore, we analyze the variations in data induced by θ from a different yet related perspective of feature augmentation. Specifically, we extend the feature augmentation technique proposed for adaptation of discretely separable domains to continuously varying domains, and propose a Mercer kernel to account for such changes. We present experimental validation of the proposed techniques using both synthetic and real datasets. Copyright 2014 ACM.

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Exploring Temporal Differences in 3D Convolutional Neural Networks 7th

Exploring Temporal Differences in 3D Convolutional Neural Ne...

引用

7th National conference on computer vision, Pattern Recognition, image processing, and graphics, NCVPRIPG 2019

作者： Kanojia, Gagan Kumawat, Sudhakar Raman, Shanmuganathan Indian Institute of Technology Gandhinagar Gandhinagar India

ISBN: (纸本)9789811586965

Traditional 3D convolutions are computationally expensive, memory intensive, and due to large number of parameters, they often tend to overfit. On the other hand, 2D CNNs are less computationally expensive and less memory intensive than 3D CNNs and have shown remarkable results in applications like image classification and object recognition. However, in previous works, it has been observed that they are inferior to 3D CNNs when applied on a spatio-temporal input. In this work, we propose a convolutional block which extracts the spatial information by performing a 2D convolution and extracts the temporal information by exploiting temporal differences, i.e., the change in the spatial information at different time instances, using simple operations of shift, subtract and add without utilizing any trainable parameters. the proposed convolutional block has same number of parameters as of a 2D convolution kernel of size, and has n times lesser parameters than an 3D convolution kernel. We show that the 3D CNNs perform better when the 3D convolution kernels are replaced by the proposed convolutional blocks. We evaluate the proposed convolutional block on UCF101 and ModelNet datasets. All the codes and pretrained models are publicly available at https://***/GaganKanojia/SSA-ResNet. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Object recognition

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101页 << < 78 79 80 81 82 83 84 85 86 87 > >>

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：