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

267 篇 会议
8 篇 期刊文献
1 册 图书

馆藏范围

276 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

131 篇 工学
- 115 篇 计算机科学与技术...
- 52 篇 电气工程
- 22 篇 软件工程
- 17 篇 信息与通信工程
- 14 篇 控制科学与工程
- 4 篇 仪器科学与技术
- 4 篇 生物工程
- 3 篇 光学工程
- 3 篇 交通运输工程
- 2 篇 电子科学与技术（可...
- 2 篇 航空宇航科学与技...
- 2 篇 核科学与技术
- 2 篇 生物医学工程（可授...
- 2 篇 安全科学与工程
- 1 篇 机械工程
- 1 篇 动力工程及工程热...
- 1 篇 化学工程与技术
- 1 篇 石油与天然气工程
51 篇 医学
- 49 篇 临床医学
- 2 篇 特种医学
21 篇 管理学
- 17 篇 管理科学与工程(可...
- 4 篇 图书情报与档案管...
17 篇 理学
- 10 篇 数学
- 5 篇 物理学
- 4 篇 生物学
- 3 篇 统计学（可授理学、...
- 2 篇 系统科学
- 1 篇 化学
6 篇 军事学
- 6 篇 军队指挥学
2 篇 法学
- 2 篇 社会学

主题

61 篇 computational in...
43 篇 signal processin...
36 篇 image segmentati...
26 篇 signal processin...
24 篇 feature extracti...
18 篇 neural networks
18 篇 image processing
16 篇 computational mo...
14 篇 image edge detec...
14 篇 video signal pro...
13 篇 pixel
13 篇 face recognition
13 篇 image analysis
12 篇 image retrieval
12 篇 computer vision
11 篇 image classifica...
11 篇 image recognitio...
11 篇 robustness
10 篇 image coding
10 篇 humans

机构

3 篇 department of co...
3 篇 school of comput...
3 篇 aristotle univ t...
3 篇 univ waterloo de...
3 篇 univ memphis dep...
3 篇 department of el...
2 篇 univ memphis ins...
2 篇 department of el...
2 篇 department of so...
2 篇 faculty of elect...
2 篇 ryerson univ dep...
2 篇 institute of sof...
2 篇 guangdong provin...
2 篇 department of el...
2 篇 univ ghent ibbt ...
2 篇 school of cognit...
2 篇 qatar university...
2 篇 department of el...
2 篇 electrical and c...
2 篇 department of el...

作者

4 篇 pitas ioannis
3 篇 xiangbin shi
3 篇 abdullah m. iliy...
3 篇 nikolaidis nikos
3 篇 fang liu
3 篇 deyuan zhang
3 篇 tefas anastasios
3 篇 zhaokui li
2 篇 soosan beheshti
2 篇 attux romis
2 篇 ioannis pitas
2 篇 tizhoosh hamid r...
2 篇 banerjee bonny
2 篇 khan m. iftekhar...
2 篇 chin-teng lin
2 篇 hamid r. tizhoos...
2 篇 comminiello dani...
2 篇 iosifidis alexan...
2 篇 vellido alfredo
2 篇 guozhong dai

语言

268 篇 英文
7 篇 其他
1 篇 中文

检索条件"任意字段=IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP"

共 276 条记录，以下是211-220 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：

Exploiting automatic image segmentation to human detection and depth estimation

Exploiting automatic image segmentation to human detection a...

引用

ieee symposium on computational intelligence for Multimedia, signal and Vision processing (CIMSIVP)

作者： Hsiao-Chun Tseng Jia-Jye Shyu Jyh-Yeong Chang Chin-Teng Lin Department of Electrical Engineering National Chiao Tung University Hsinchu Taiwan

In this paper, we combine image segmentation techniques and face detection methods to extract the human from scenes. Firstly, skin regions are detected and an ellipse fitting method is employed to detect the face region and consequently locate the human position. Then we propose an improved automatic seeded region growing algorithm to segment the image. The initial seeds are generated automatically, and the remaining pixels are classified to the nearest region. After the region growing procedure, two neighboring regions with high similarity are merged. The human body is determined by confining semantic human body region in segmented regions, and those belonging to the human face and human body are merged afterward. Lastly, we will detect the human vertical y-coordinate values in the image, and the depths can then be estimated according to the depth look-up tables of the camera.

关键词： Cameras Estimation image segmentation Pixel

来源：评论

学校读者我要写书评

暂无评论

Character recognition with two spiking neural network models on multicore architectures

Character recognition with two spiking neural network models...

引用

ieee symposium on computational intelligence for Multimedia signal and Vision processing, CIMSVP

作者： Mohammad A. Bhuiyan Rommel Jalasutram Tarek M. Taha Electrical and Computer Engineering Department Clemson University Clemson SC USA

This paper presents the use of the Izhikevich and Hodgkin Huxley neuron models for image recognition. The former is more biologically accurate than the commonly used integrate and fire neuron model but has similar low computational requirements. Brain scale cortex models tend to use the more biological neuron models. The results of this work show that the Izhikevich model can be used for image recognition and would be a good candidate for a large scale visual cortex model. Neural networks based on these models are developed and applied to character recognition. They were able to identify 48 24times24 images and their noisy versions. The networks were accelerated using modern multicore processors and showed significant speedups. Such processors are likely to be used for developing high performance, large scale implementations of these image recognition networks.

关键词： Character recognition Neural networks Multicore processing Biological system modeling Brain modeling Neurons image recognition Biological neural networks Large-scale systems Computer architecture

来源：评论

学校读者我要写书评

暂无评论

Local contrast stretch based tone mapping for high dynamic range images

Local contrast stretch based tone mapping for high dynamic r...

引用

ieee symposium on computational intelligence for Multimedia, signal and Vision processing (CIMSIVP)

作者： Jiang Duan Wenpeng Dong Rui Mu Guoping Qiu Min Chen School of Economic Information Engineering Southwestern University of Finance and Economics ChengDu China School of Computer Science University of Nottingham Nottingham UK Display System Division Material and Packaging Technologies Hong Kong China

This paper presents a local tone mapping method to render high dynamic range images on conventional displays. We adaptively stretch contrast in local regions to reproduce local contrast. In order to avoid halos, we use bilateral filtering to smooth the image prior to the contrast stretching operation. Our method is fast and easy to use, and the experiment results show that the technique can produce good results on a variety of high dynamic range images.

关键词： Pixel Dynamic range Filtering Noise image edge detection Brightness Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

2005 ieee International Workshop on Intelligent signal processing (ieee Cat. No. 05EX1039)

2005 IEEE International Workshop on Intelligent Signal Proce...

引用

ieee International symposium on Intelligent signal processing

The following topics were dealt with: image processing; biomedical applications; signal processing; control systems; sensors; fault detection; neural networks; computational intelligence techniques; and real-time syst...

关键词：

来源：评论

学校读者我要写书评

暂无评论

Relevance tuning in content-based retrieval of structurally-modeled images using Particle Swarm Optimization

Relevance tuning in content-based retrieval of structurally-...

引用

ieee symposium on computational intelligence for Multimedia signal and Vision processing, CIMSVP

作者： Nozomi Oka Keisuke Kameyama Graduate School of Systems and Information Engineering Tsukuba Ibaraki Japan

Similarity of images in content-based image retrieval (CBIR) is a subjective measure varying by the user, and requires tuning according to the user's preference. Another issue in CBIR is the need of partial image matching. Structural modeling of the images can be promising in finding a small query image within a large database image. In this work, a graph-based image modeling which assigns image regions to labeled nodes and their adjacency to weighted edges is used. Also, the image similarity measure is tuned according to the user's evaluation, by way of parameter selection using Particle Swarm Optimization (PSO)[1][2]. In the experiments, a small-scale CBIR system based on graph modeling of images was developed. Using the system, it was confirmed that images including the query image of different size and rotation angle could be successfully retrieved. Also, the user's preference in weighting the different aspects of similarity in the feedback information was found to be successfully incorporated in the retrieval after parameter optimization using PSO.

关键词： image retrieval Content based retrieval Particle swarm optimization image databases Feedback Information retrieval Particle measurements image matching Digital images Search engines

来源：评论

学校读者我要写书评

暂无评论

computational visual attention model capable of exploring similarity

Computational visual attention model capable of exploring si...

引用

ieee symposium on computational intelligence for Multimedia, signal and Vision processing (CIMSIVP)

作者： Ru-Je Lin Wei-Song Lin Yu-Wei Huang Department of Electrical Engineering National Taiwan University Taipei Taiwan

computational visual attention (CVA) model is one of the methods which focus on finding region of interesting (ROI) in an image or in a scene. Similarity attention is one important task in CVA. If there are many objects in a scene, people will pick up the most abnormal one, which perhaps the similar one or dissimilar one, according to the composition objects of the scene. Capability of similarity attention enables human vision to promptly focus on similar or dissimilar regions in a scene. This paper implements this capability in the CVA model by attaching a high-level similarity comparison function to find ROI in the scene. The output of the model simulates the serial search mode and more approach to human visual behavior. Experimental results show that the function of similarity attention can be achieved successfully.

关键词： Visualization Indexes Humans Shape computational modeling Pixel Analytical models

来源：评论

学校读者我要写书评

暂无评论

Binary image registration using cellular simultaneous recurrent networks

Binary image registration using cellular simultaneous recurr...

引用

ieee symposium on computational intelligence for Multimedia signal and Vision processing, CIMSVP

作者： Keith Anderson Khan Iftekharuddin Eddie White Paul Kim Intelligent Systems and Image Processing Laboratory University of Memphis Memphis TN USA

Cellular simultaneous recurrent networks (CSRN)s have been successfully exploited to solve the conventional maze traversing problem. In this work, for the first time, we investigate the use of CSRNs for image registration under affine transformations. In our simulations, we consider binary images with in-plane rotations between plusmn20deg. First, we experiment with a readily available CSRN with generalized multilayer perceptrons (GMLP)s as the basic core. We identify performance criteria for such CSRNs in affine correction. We then propose a modified MLP architecture with multi-layered feedback as the core for a CSRN to improve binary image registration performance. Simulation results show that while both the GMLP network and our modified network are able to achieve localized image registration, our modified architecture is more effective in moving pixels for registration. Finally, we use sub-image processing with our modified MLP architecture, to reduce training time and increase global registration accuracy. Overall, both CSRN architectures show promise for correctly registering a binary image.

关键词： image registration Cellular networks Artificial neural networks Cellular neural networks Multilayer perceptrons Network topology Neural networks Geometry Function approximation Biological materials

来源：评论

学校读者我要写书评

暂无评论

Target-surround feature attention model of visual tracking

Target-surround feature attention model of visual tracking

引用

ieee symposium on computational intelligence for Multimedia, signal and Vision processing (CIMSIVP)

作者： Yu-Wei Huang Wei-Song Lin Ru-Je Lin Department of Electrical Engineering National Taiwan University Taipei Taiwan

This paper presents a target-surround feature attention (TSFA) model for constructing attention-based visual tracking algorithm. This model extracts attentive region by distinguishing the color contrast between the interested target and its surround. A preference generator provides online feature transformation to update the target/surround biasing masks that describes the color composition associated with the target and its surround. Output of the TSFA model is a saliency map representing occurrence possibility of the target. Tracker based on the mean shift algorithm is used to lock and locate the target on the saliency map. Experimental results show that visual tacking algorithm with the TSFA model may adapt to noisy images under changing illumination.

关键词： Target tracking image color analysis Visualization computational modeling Feature extraction Pixel

来源：评论

学校读者我要写书评

暂无评论

2007 International symposium on Intelligent signal processing and Communications Systems Proceedings

2007 International Symposium on Intelligent Signal Processin...

引用

ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

The following topics are dealt with: coding theory; speech and audio signal processing; wireless personal communication; system on chip; SoC; direct of arrrival estimation; image enhancement and filtering; CDMA; TDMA; OFDM; radar tracking; radar detection; image denoising; feature extraction and detection; information theory; spectral estimation; image segmentation; wireless ad hoc and sensor network; FPGA; embedded system; parameter estimation; channel estimation; image coding; analog circuits; digital filters; filter bank; video coding and transmission; MIMO communication; motion estimation; multimedia management; computational intelligence; image fusion; communication protocols; face detection; PCA; ICA; SVD; optical-signal processing; radar signal processing.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A graph-based signal processing approach for low-rate energy disaggregation

A graph-based signal processing approach for low-rate energy...

引用

ieee symposium on computational intelligence for Engineering Solutions (CIES)

作者： Vladimir Stankovic Jing Liao Lina Stankovic Department of Electronic and Electrical Engineering University of Strathclyde Glasgow UK

Graph-based signal processing (GSP) is an emerging field that is based on representing a dataset using a discrete signal indexed by a graph. Inspired by the recent success of GSP in image processing and signal filtering, in this paper, we demonstrate how GSP can be applied to non-intrusive appliance load monitoring (NALM) due to smoothness of appliance load signatures. NALM refers to disaggregating total energy consumption in the house down to individual appliances used. At low sampling rates, in the order of minutes, NALM is a difficult problem, due to significant random noise, unknown base load, many household appliances that have similar power signatures, and the fact that most domestic appliances (for example, microwave, toaster), have usual operation of just over a minute. In this paper, we proposed a different NALM approach to more traditional approaches, by representing the dataset of active power signatures using a graph signal. We develop a regularization on graph approach where by maximizing smoothness of the underlying graph signal, we are able to perform disaggregation. Simulation results using publicly available REDD dataset demonstrate potential of the GSP for energy disaggregation and competitive performance with respect to more complex Hidden Markov Model-based approaches.

关键词： Hidden Markov models Microwave theory and techniques computational modeling image edge detection Noise Testing Smoothing methods

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28页 << < 18 19 20 21 22 23 24 25 26 27 > >>

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：