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

33 篇 期刊文献
31 篇 会议

馆藏范围

64 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

49 篇 工学
- 28 篇 计算机科学与技术...
- 25 篇 软件工程
- 14 篇 光学工程
- 13 篇 生物工程
- 12 篇 生物医学工程（可授...
- 9 篇 信息与通信工程
- 6 篇 机械工程
- 6 篇 控制科学与工程
- 4 篇 电气工程
- 4 篇 电子科学与技术（可...
- 3 篇 仪器科学与技术
- 3 篇 建筑学
- 3 篇 土木工程
- 1 篇 材料科学与工程（可...
- 1 篇 化学工程与技术
- 1 篇 安全科学与工程
30 篇 理学
- 16 篇 物理学
- 13 篇 数学
- 12 篇 生物学
- 5 篇 统计学（可授理学、...
- 3 篇 化学
- 1 篇 系统科学
14 篇 医学
- 13 篇 基础医学(可授医学...
- 13 篇 临床医学
- 9 篇 药学(可授医学、理...
- 6 篇 公共卫生与预防医...
13 篇 管理学
- 9 篇 管理科学与工程(可...
- 5 篇 工商管理
- 4 篇 图书情报与档案管...
2 篇 经济学
- 2 篇 应用经济学
1 篇 农学

主题

8 篇 cameras
4 篇 image segmentati...
3 篇 active contours
3 篇 visualization
3 篇 feature extracti...
3 篇 estimation
3 篇 training
2 篇 markov random fi...
2 篇 spatial resoluti...
2 篇 noise
2 篇 computational mo...
2 篇 undecimated wave...
2 篇 decision making
2 篇 sea ice
2 篇 accuracy
2 篇 computer vision
2 篇 robustness
2 篇 images
2 篇 sfcrf
1 篇 image enhancemen...

机构

15 篇 vision and image...
4 篇 illumisonics inc...
4 篇 national researc...
4 篇 vision and image...
3 篇 photomedicine la...
3 篇 vision & image p...
3 篇 vision and image...
2 篇 vision & image p...
2 篇 school of marine...
2 篇 faculty of engin...
2 篇 department of sy...
2 篇 photomedicine la...
2 篇 darwinai corp
2 篇 waterloo ai inst...
2 篇 university of wa...
2 篇 vision and image...
2 篇 intelligent syst...
2 篇 christie digital...
2 篇 department of sy...
2 篇 vision and image...

作者

15 篇 wong alexander
13 篇 fieguth paul
11 篇 chen yuhao
9 篇 clausi david a.
6 篇 ecclestone benja...
6 篇 zelek john
6 篇 reza parsin haji
5 篇 alexander wong
5 篇 yuhao chen
5 篇 paul fieguth
5 篇 tai chi-en amy
4 篇 zelek john s.
4 篇 xu linlin
4 篇 xi pengcheng
4 篇 gunraj hayden
4 篇 linlin xu
3 篇 boktor marian
3 篇 a. g. chung
3 篇 bright jerrin
3 篇 mark lamm

语言

61 篇 英文
3 篇 其他

检索条件"机构=Critical ML Lab and Vision and Image Processing Lab and University of Waterloo"

共 64 条记录，以下是51-60 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：

IMPROVED FINE STRUCTURE MODELING VIA GUIDED STOCHASTIC CLIQUE FORMATION IN FULLY CONNECTED CONDITIONAL RANDOM FIELDS

IMPROVED FINE STRUCTURE MODELING VIA GUIDED STOCHASTIC CLIQU...

引用

IEEE International Conference on image processing

作者： M. J. Shafiee A. G. Chung A. Wong P. Fieguth Vision & Image Processing Lab Systems Design Engineering Dept. University of Waterloo

ISBN: (纸本)9781479983407

Markov random fields (MRFs) and conditional random fields (CRFs) are influential tools in image modeling, particularly for applications such as image segmentation. Local MRFs and CRFs utilize local nodal interactions when modeling, leading to excessive smoothness on boundaries (i.e., the short-boundary bias problem). Recently, the concept of fully connected conditional random fields with stochastic cliques (SFCRF) was proposed to enable long-range nodal interactions while addressing the computational complexity associated with fully connected random fields. While SFCRF was shown to provide significant improvements in segmentation accuracy, there were still limitations with the preservation of fine structure boundaries. To address these limitations, we propose a new approach to stochastic clique formation for fully connected random fields (G-SFCRF) that is guided by the structural characteristics of different nodes within the random field. In particular, fine structures surrounding a node are modeled statistically by probability distributions, and stochastic cliques are formed by considering the statistical similarities between nodes within the random fields. Experimental results show that G-SFCRF outperforms existing fully connected CRF frameworks, SFCRF, and the principled deep random field framework for image segmentation.

关键词： Stochastic Cliques SFCRF Guided Stochastic Cliques CRF Segmentation Fully connected Corticotropin-Releasing Hormone segmentation Segmentation image segmentation fine structure Modeling Random Markov random fields all-pass Ganglia Probability distribution Structural properties complexity classes

来源：评论

学校读者我要写书评

暂无评论

TIGER: A TEXTURE-ILLUMINATION GUIDED ENERGY RESPONSE MODEL FOR ILLUMINATION ROBUST LOCAL SALIENCY

TIGER: A TEXTURE-ILLUMINATION GUIDED ENERGY RESPONSE MODEL F...

引用

IEEE International Conference on image processing

作者： B. Chwyl A. G. Chung F. Y. Li A. Wong D. A. Clausi Vision & Image Processing Lab Systems Design Engineering Dept. University of Waterloo

ISBN: (纸本)9781479983407

Local saliency models are a cornerstone in image processing and computer vision, used in a wide variety of applications ranging from keypoint detection and feature extraction, to image matching and image representation. However, current models exhibit difficulties in achieving consistent results under varying, non-ideal illumination conditions. In this paper, a novel texture-illumination guided energy response (TIGER) model for illumination robust local saliency is proposed. In the TIGER model, local saliency is quantified by a modified Hessian energy response guided by a weighted aggregate of texture and illumination aspects from the image. A stochastic Bayesian disassociation approach via Monte Carlo sampling is employed to decompose the image into its texture and illumination aspects for the saliency computation. Experimental results demonstrate that higher correlation between local saliency maps constructed from the same scene under different illumination conditions can be achieved using the TIGER model when compared to common local saliency approach, i.e., Laplacian of Gaussian, Difference of Gaussians, and Hessian saliency models.

关键词： Local saliency model Illumination robust Local features Bayesian estimation Stochastic Texture Illumination illumination Lighting Stochastic Bayes methods textures local image feature texture images Gauss Energy responses image representation image matching

来源：评论

学校读者我要写书评

暂无评论

Recipe recognition with large multimodal food dataset

Recipe recognition with large multimodal food dataset

引用

IEEE International Conference on Multimedia and Expo Workshops (ICMEW)

作者： Xin Wang Devinder Kumar Nicolas Thome Matthieu Cord Frédéric Precioso UMR 7606 UPMC Univ Paris 06 Paris France University of Waterloo Vision and Image Processing (VIP) Lab Ontario Canada UMR 7271 Universités Nice Sophia Antipolis France

This paper deals with automatic systems for image recipe recognition. For this purpose, we compare and evaluate leading vision-based and text-based technologies on a new very large multimodal dataset (UPMC Food-101) containing about 100,000 recipes for a total of 101 food categories. Each item in this dataset is represented by one image plus textual information. We present deep experiments of recipe recognition on our dataset using visual, textual information and fusion. Additionally, we present experiments with text-based embedding technology to represent any food word in a semantical continuous space. We also compare our dataset features with a twin dataset provided by ETHZ university: we revisit their data collection protocols and carry out transfer learning schemes to highlight similarities and differences between both datasets. Finally, we propose a real application for daily users to identify recipes. This application is a web search engine that allows any mobile device to send a query image and retrieve the most relevant recipes in our dataset.

关键词： Visualization Accuracy Training Feature extraction Protocols HTml Google

来源：评论

学校读者我要写书评

暂无评论

Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques

Efficient Bayesian inference using fully connected condition...

引用

作者： Shafiee, M.J. Wong, A. Siva, P. Fieguth, P. Vision and Image Processing Lab System Design Engineering Dept. University of Waterloo Canada

ISBN: (纸本)9781479957514

Conditional random fields (CRFs) are one of the most powerful frameworks in image modeling. However practical CRFs typically have edges only between nearby nodes;using more interactions and expressive relations among nodes make these methods impractical for large-scale applications, due to the high computational complexity. Recent work has shown that fully connected CRFs can be tractable by defining specific potential functions. In this paper, we present a novel framework to tackle the computational complexity of a fully connected graph without requiring specific potential functions. Instead, inspired by random graph theory and sampling methods, we propose a new clique structure called stochastic cliques. The stochastically fully connected CRF (SFCRF) is a marriage between random graphs and random fields, benefiting from the advantages of fully connected graphs while maintaining computational tractability. The effectiveness of SFCRF was examined by binary image labeling of highly noisy images. The results show that the proposed framework outperforms an adjacency CRF and a CRF with a large neighborhood size. © 2014 IEEE.

关键词： Computational complexity

来源：评论

学校读者我要写书评

暂无评论

Semi-automatic Fisher-Tippett Guided Active Contour for Lumbar Multifidus Muscle Segmentation

Semi-automatic Fisher-Tippett Guided Active Contour for Lumb...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Dorothy Lui Christian Scharfenberger Diana E. De Carvalho Jack P. Callaghan Alexander Wong Faculty of Systems Design Engineering Vision and Image Processing Lab University of Waterloo Waterloo Canada The Department of Kinesiology University of Waterloo Waterloo Canada

Rehabilitative Ultrasound Imaging or diagnostic ultrasound is used to measure geometric properties of the lumbar multifidus muscle to infer muscle strength or degeneration for back pain therapy. For this purpose, a novel semi-automatic approach (FTS: Fisher-Tippett Segmentation) based upon the Decoupled Active Contour is proposed to reliably and quickly segment the lumbar multifidus muscle in diagnostic ultrasound. To overcome speckle or hardly visible region boundaries in ultrasound images, we first propose a novel external energy functional to explicitly consider the underlying Fisher-Tippett distribution of ultrasound data. We then introduce a user-guided Hidden Markov Model trellis formation for improved segmentation of weakly-defined regions. Extensive experiments have shown that our approach not only improves the segmentation performance when compared to existing methods, but also does not rely on sub-specialized knowledge for segmentation.

关键词： Muscles Ultrasonic imaging image segmentation Hidden Markov models Back Medical treatment Active contours

来源：评论

学校读者我要写书评

暂无评论

UNDECIMATED HIERARCHICAL ACTIVE CONTOURS FOR OCT image SEGMENTATION

UNDECIMATED HIERARCHICAL ACTIVE CONTOURS FOR OCT IMAGE SEGME...

引用

IEEE International Conference on image processing

作者： Ahmed Gawish Paul Fieguth Sebastian Marschall Kostadinka Bizheva Vision and Image Processing (VIP) Lab Dept. of Systems Design Engineering University of Waterloo Dept. of Physics and Astronomy University of Waterloo

ISBN: (纸本)9781479957521

A limitation of Optical Coherence Tomography (OCT) image segmentation is the poor signal-to-noise ratio of the imaging process, particularly because images are sampled quickly, at high resolutions, and in-vivo. Furthermore, speckle noise is generated by the reflections of the OCT LASER. Because OCT is widely used in imaging the cornea, retina, and skin, OCT layer segmentation is of key interest in all applications. In this paper, a multi-resolution parametric active contour is used for OCT segmentation. The proposed method uses an undecimated wavelet transform to obtain scale-dependent noise reduction, while the active contour is initialized with a generalized Hough transform. Experimental results show that the proposed method outperforms classical as well as state-of-the-art methods and segments OCT images with high level of accuracy.

关键词： Undecimated wavelet transform Optical coherence tomography Active contours Hough transform

来源：评论

学校读者我要写书评

暂无评论

Multi-scale saliency-guided compressive sensing approach to efficient robotic laser range measurements

Multi-scale saliency-guided compressive sensing approach to ...

引用

2012 9th Conference on Computer and Robot vision, CRV 2012

作者： Schwartz, Shimon Wong, Alexander Clausi, David A. Department of Systems Design Engineering University of Waterloo Vision and Image Processing Lab. Research Group Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9780769546834

Improving laser range data acquisition speed is important for many robotic applications such as mapping and localization. One approach to reducing acquisition time is to acquire laser range data through a dynamically small subset of measurement locations. The reconstruction can then be performed based on the concept of compressed sensing (CS), where a sparse signal representation allows for signal reconstruction at sub-Nyquist measurements. Motivated by this, a novel multi-scale saliency-guided CS-based algorithm is proposed for an efficient robotic laser range data acquisition for robotic vision. The proposed system samples the objects of interest through an optimized probability density function derived based on multi-scale saliency rather than the uniform random distribution used in traditional CS systems. Experimental results with laser range data from indoor and outdoor environments show that the proposed approach requires less than half the samples needed by existing CS-based approaches while maintaining the same reconstruction performance. In addition, the proposed method offers significant improvement in reconstruction SNR compared to current CS-based approaches. © 2012 IEEE.

关键词： Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

Evaluation of local spatio-temporal salient feature detectors for human action recognition

Evaluation of local spatio-temporal salient feature detector...

引用

2012 9th Conference on Computer and Robot vision, CRV 2012

作者： Shabani, Amir H. Clausi, David A. Zelek, John S. Vision and Image Processing Lab. University of Waterloo ON N2L 3G1 Canada Intelligent Systems Lab. University of Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9780769546834

Local spatio-temporal salient features are used for a sparse and compact representation of video contents in many computer vision tasks such as human action recognition. To localize these features (i.e., key point detection), existing methods perform either symmetric or asymmetric multi-resolution temporal filtering and use a structural or a motion saliency criteria. In a common discriminative framework for action classification, different saliency criteria of the structured-based detectors and different temporal filters of the motion-based detectors are compared. We have two main observations. (1) The motion-based detectors localize features which are more effective than those of structured-based detectors. (2) The salient motion features detected using an asymmetric temporal filtering performbetter than all other sparse salient detectors and dense sampling. Based on these two observations, we recommend the use of asymmetric motion features for effective sparse video content representation and action recognition © 2012 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Regularized gradient kernel anisotropic diffusion for better image filtering

Regularized gradient kernel anisotropic diffusion for better...

引用

2012 9th Conference on Computer and Robot vision, CRV 2012

作者： Shabani, Amir H. Zelek, John S. Clausi, David A. Vision and Image Processing Lab. University of Waterloo ON N2L 3G1 Canada Intelligent Systems Lab. University of Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9780769546834

This paper proposes an extension to anisotropic diffusion filtering for a better preservation of semantically meaningful structures such as edges in an image in its smoothing/denoising process. The problem of separation of the gradients due to edges and the gradients due to noise is formulated as a nonlinearly separable classification problem. More specifically, the spatially-regularized image gradient is mapped to a higher dimensional Reproducing Kernel Hilbert Space (RKHS) in which the gradients of the edges from those of noise can be readily separated. This proper discrimination of edges prevents the filter from blurring the edges, while smoothing the image. Compared to the existing anisotropic filters, the proposed method improves the denoising and smoothing of an image on both synthetic and real images. © 2012 IEEE.

关键词： Diffusion

来源：评论

学校读者我要写书评

暂无评论

Saliency-guided compressive fluorescence microscopy

Saliency-guided compressive fluorescence microscopy

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Shimon Schwartz Alexander Wong David A. Clausi Department of Systems Design Engineering University of Waterloo Vision and Image Processing Lab research group Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9781424441198

A novel saliency-guided approach is proposed for improving the acquisition speed of compressive fluorescence microscopy systems. By adaptively optimizing the sampling probability density based on regions of interest instead of the traditional unguided random sampling approach, the proposed saliency-guided compressive fluorescence microscopy approach can achieve high-quality microscopy images using less than half of the number of fluorescence microscopy data measurements required by existing compressive fluorescence microscopy systems to achieve the same level of quality.

关键词： Saliency-guided microscopy high-quality

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7页 << < 1 2 3 4 5 6 7 > >>

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：