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

4,477 篇 会议
9 篇 期刊文献
5 册 图书

馆藏范围

4,491 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,329 篇 工学
- 1,912 篇 计算机科学与技术...
- 541 篇 软件工程
- 417 篇 机械工程
- 327 篇 光学工程
- 269 篇 控制科学与工程
- 216 篇 仪器科学与技术
- 117 篇 信息与通信工程
- 99 篇 电气工程
- 79 篇 生物工程
- 50 篇 生物医学工程（可授...
- 34 篇 电子科学与技术（可...
- 25 篇 安全科学与工程
- 21 篇 化学工程与技术
- 16 篇 建筑学
- 15 篇 交通运输工程
- 14 篇 土木工程
489 篇 理学
- 327 篇 物理学
- 194 篇 数学
- 83 篇 生物学
- 79 篇 统计学（可授理学、...
- 23 篇 系统科学
- 18 篇 化学
206 篇 艺术学
- 206 篇 设计学（可授艺术学...
67 篇 管理学
- 48 篇 图书情报与档案管...
- 19 篇 管理科学与工程(可...
- 10 篇 工商管理
45 篇 医学
- 45 篇 临床医学
- 13 篇 基础医学(可授医学...
- 11 篇 药学(可授医学、理...
20 篇 法学
- 18 篇 社会学
7 篇 农学
4 篇 教育学
1 篇 经济学
1 篇 文学
1 篇 军事学

主题

1,834 篇 computer vision
890 篇 conferences
696 篇 pattern recognit...
656 篇 training
472 篇 cameras
381 篇 feature extracti...
375 篇 computational mo...
341 篇 visualization
314 篇 computer archite...
285 篇 image segmentati...
259 篇 face recognition
231 篇 object detection
230 篇 robustness
208 篇 shape
193 篇 three-dimensiona...
184 篇 humans
176 篇 neural networks
169 篇 semantics
166 篇 computer science
157 篇 benchmark testin...

机构

21 篇 swiss fed inst t...
19 篇 swiss fed inst t...
18 篇 university of sc...
17 篇 univ sci & techn...
17 篇 carnegie mellon ...
15 篇 institute for co...
14 篇 tsinghua univers...
13 篇 computer vision ...
13 篇 tsinghua univ pe...
13 篇 stanford univ st...
12 篇 harbin inst tech...
12 篇 mit cambridge ma...
12 篇 sun yat sen univ...
12 篇 carnegie mellon ...
11 篇 chinese univ hon...
11 篇 megvii technol p...
11 篇 chinese acad sci...
10 篇 comp vis ctr bar...
10 篇 univ modena & re...
10 篇 beihang univ peo...

作者

57 篇 timofte radu
20 篇 luc van gool
20 篇 radu timofte
17 篇 horst bischof
16 篇 van gool luc
15 篇 sergio escalera
12 篇 zhigang zhu
12 篇 li stan z.
12 篇 chen wei-ting
12 篇 bischof horst
12 篇 lei lei
11 篇 fan haoqiang
11 篇 sun jian
11 篇 marcos v. conde
11 篇 lei zhen
10 篇 escalera sergio
10 篇 cucchiara rita
10 篇 zhang lei
10 篇 angel d. sappa
10 篇 liu shuaicheng

语言

4,486 篇 英文
4 篇 中文
1 篇 其他

检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"

共 4491 条记录，以下是4441-4450 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：

Integration of transitory image sequences

Integration of transitory image sequences

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Weng Cui Ahuja Singh Computer Science Department Michigan State University East Lansing MI USA Beckman Institute University of Illinois Urbana IL USA Siemens Corporate Research Inc. Princeton NJ USA

A transitory image sequence is one in which no scene element is visible through the entire sequence. This article deals with some major theoretical and algorithmic issues associated with the task of estimating structure and motion from transitory image sequences. Two representations, world-centered (WC) and camera-centered (CC), behave very differently with a transitory sequence. The asymptotical error properties derived in this article indicate that one representation is significantly superior to the other, depending on whether one uses camera-centered or world-centered estimates. Rigorous experiments were conducted with real-image sequences taken by a fully calibrated camera system. The comparison demonstrated that a good accuracy can be obtained from transitory image sequences.< >

关键词： Image sequence analysis Motion analysis

来源：评论

学校读者我要写书评

暂无评论

Deformable models with parameter functions: application to heart-wall modeling

Deformable models with parameter functions: application to h...

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Park Metaxas Young Department of Computer & Information Science University of Pennsylvania Philadelphia PA USA Department of Radiology University of Pennsylvania Philadelphia PA USA

This paper develops a new class of physics-based deformable models which can deform both globally and locally. Their global parameters are functions allowing the definition of new parameterized primitives and parameterized global deformations. These new global parameter functions improve the accuracy of shape description through the use of a few intuitive parameters such as functional bending and twisting. Using a physics-based approach we convert these geometric models into deformable models that deform due to forces exerted from the data-points so as to conform to the given dataset. We present an experiment involving the extraction of shape and motion of the Left Ventricle (LV) of a heart from MRI-SPAMM data based on a few global parameter functions.< >

关键词： Biomedical imaging, MRI Machine vision Image processing Biomedical imaging Cardiography

来源：评论

学校读者我要写书评

暂无评论

Gaussian normalisation of morphological size distributions for increasing sensitivity to texture variations and its applications to pavement distress classification

Gaussian normalisation of morphological size distributions f...

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Bhagvati Skolnick Grivas Computer Ccience Department Rensselaer Polytechnic Institute Troy NY USA Civil Engineering Department Rensselaer Polytechnic Institute Troy NY USA

This paper investigates the use of morphological size distributions to characterize textures and explore their sensitivity to the presence of inhomogeneities and multiple textures. When the image texture is a result of material properties such variations in texture typically correspond to defects on the surface being imaged. An application where the analysis of texture variations is of great significance is the assessment of distresses on pavement surfaces. We develop a novel normalization scheme based on a Gaussian model to enhance the sensitivity of the morphological distributions to texture variations indicative of defects. Results from a simple rule-based classification scheme are presented to demonstrate that measures derived from the normalized distributions are useful in classifying distresses. Our use of normalized distributions, and not the original images, to develop measures for analyzing textures results in a significant reduction in computational and storage requirements.< >

关键词： Image texture analysis Image analysis Machine vision pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Automated discovery of detectors and iteration-performing calculations to recognize patterns in protein sequences using genetic programming

Automated discovery of detectors and iteration-performing ca...

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Koza Computer Science Department University of Stanford Stanford CA USA

This paper describes an automated process for the dynamic creation of a pattern-recognizing computer program consisting of initially unknown detectors, an initially-unknown iterative calculation incorporating the as-yet-uncreated detectors, and an initially-unspecified final calculation incorporating the results of the as-yet-uncreated iteration. The program's goal is to recognize a given protein segment as being a transmembrane domain or non-transmembrane area. The recognizing program to solve this problem will be evolved using the recently developed genetic programming paradigm. Genetic programming starts with a primordial ooze of randomly generated computer programs composed of available programmatic ingredients and then genetically breeds the population using the Darwinian principle of survival of the fittest and the genetic crossover (sexual recombination) operation. Automatic function definition enables genetic programming to dynamically create subroutines (detectors). When cross-validated, the best genetically-evolved recognizer achieves an out-of-sample correlation of 0.968 and an out-of-sample error rate of 1.6%. This error rate is better than that recently reported for five other methods.< >

关键词： pattern recognition Biomedical computing

来源：评论

学校读者我要写书评

暂无评论

An on-line cursive word recognition system

An on-line cursive word recognition system

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Seni Nasrabadi Srihari Center of Excellence for Document Analysis and Recognition State University of New York University at Buffalo Buffalo NY USA Department of Electrical and Computer Engineering State University of New York University at Buffalo Buffalo NY USA

This paper presents a system for large vocabulary recognition of on-line handwritten cursive words. The system first uses a filtering module, based on simple letter features, to quickly reduce a large reference dictionary to a smaller number of candidates; the reduced lexicon along with the original input is subsequently fed to a recognition module. In order to exploit the sequential nature of the temporal data, we employ a TDNN-style network architecture which has been successfully used in the speech recognition domain. Explicit segmentation of the input words into characters is avoided by using a sliding window concept where the input word representation (a set of frames) is presented to the neural network-based recognizer sequentially. The outputs of the recognition module are collected and converted into a string of characters that can be matched with the candidate words. A description of the complete system and its components is given.< >

关键词： Character recognition, hand-written Neural network applications

来源：评论

学校读者我要写书评

暂无评论

Merging range images of arbitrarily shaped objects

Merging range images of arbitrarily shaped objects

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Rutishauser Stricker Trobina Communications Technology Laboratory Swiss Federal Institute of Technology Zurich Switzerland

Range data offer a direct way to produce shape descriptions of surfaces. Typically single range images have the form of a graph surface z=g(z,y) and thus suffer from occlusion. One can reduce this problem by taking several images from different locations and merging them together. The result is a real 3-D description of the object's surface. In this paper we address several problems that result from the 2 1/2 -D to 3-D transition. We present an algorithm which is able to merge depth images of an arbitrary shaped object using a highly local approach. An explicit sensor error model is used to support the merging. A key feature of our algorithm is the ability to update its result by an additional new view. Thus, it is possible to gradually improve the surface description in regions of high noise.< >

关键词： Machine vision Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Integration of bottom-up and top-down cues for visual attention using non-linear relaxation

Integration of bottom-up and top-down cues for visual attent...

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Milanese Wechsler Gill Bost Pun Department of Computer Science University of Geneva Geneva Switzerland International Computer Science Institute Berkeley CA USA Department of Computer Science George Mason University Fairfax VA USA

Active and selective perception seeks regions of interest in an image in order to reduce the computational complexity associated with time-consuming processes such as object recognition. We describe in this paper a visual attention system that extracts regions of interest by integrating multiple image cues. Bottom-up cues are detected by decomposing the image into a number: of feature and conspicuity maps, while a-priori knowledge (i.e. models) about objects is used to generate top-down attention cues. Bottom-up and top-down information is combined through a non-linear relaxation process using energy minimization-like procedures. The functionality of the attention system is expanded by the introduction of an alerting (motion-based) system able to explore and avoid obstacles. Experimental results are reported, using cluttered and noisy scenes.< >

关键词： Complexity theory Machine vision Image region analysis

来源：评论

学校读者我要写书评

暂无评论

Adaptive-complexity registration of images

Adaptive-complexity registration of images

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Muller Anandan Bergen Center for Visual Science University of Rochester Rochester NY USA David Samoff Research Center Inc. Princeton NJ USA

We present a framework for image registration algorithms that finds a lowest-order model of the flow between two images. Low-order models are useful in image registration, because they leave scene structure intact. But in real images complexity varies, and cannot be determined ahead of time. Algorithms in our framework adapt model complexity to image data during a coarse-fine parameter estimation process. Complexity increases keep residual flow small enough that motion can be correctly estimated at each subsequent resolution level. We present one algorithm within this framework which increases complexity by replacing global estimates with estimates over successively smaller patches. We show results of applying this algorithm to the task of mosaicing panoramic aerial images with unknown lens distortion and unknown camera position.< >

关键词： Parameter estimation Image registration Machine vision Complexity theory

来源：评论

学校读者我要写书评

暂无评论

Object recognition using multi-layer Hopfield neural network

Object recognition using multi-layer Hopfield neural network

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Young Scott Nasrabadi Department of Electrical & Computer Engineering State University of New York University at Buffalo Amherst NY USA

An object recognition approach based on concurrent coarse-and-fine matching using a multi-layer Hopfield neural network is presented. The proposed network consists of several cascaded single layer Hopfield networks, each encoding object features at a distinct resolution, with bidirectional interconnections linking adjacent layers. The interconnection weights between nodes associating adjacent layers are structured to favor node pairs for which model translation and rotation, when viewed at the two corresponding resolutions, are consistent. This inter-layer feedback feature of the algorithm reinforces the usual intra-layer matching process in conventional single layer Hopfield nets in order to compute the model-object match which is most consistent across several resolution levels. The performance of the algorithm is demonstrated in cases of images containing single and multiple occluded objects. These results are compared with recognition results obtained using a single layer Hopfield network.< >

关键词： Object recognition Feedforward neural networks Neural network applications

来源：评论

学校读者我要写书评

暂无评论

recognition by functional parts [function-based object recognition]

Recognition by functional parts [function-based object recog...

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Rivlin Dickinson Rosenfeld Department of Computer Science Technion-Israel Institute of Technology Haifa Israel Department of Computer Science University of Toronto Toronto ONT Canada Center for Automation Research University of Maryland College Park MD USA

We present an approach to function-based object recognition that reasons about the functionality of an object's initiative parts. We extend the popular "recognition by parts" shape recognition framework to support "recognition, by functional parts", by combining a set of functional primitives and their relations with a set of abstract volumetric shape primitives and their relations. Previous approaches have relied on more global object features, often ignoring the problem of object segmentation, and thereby restricting themselves to range images of unoccluded scenes. We show how these shape primitives and relations can be easily recovered from superquadric ellipsoids which, in turn, can be recovered from either range or intensity images of occluded scenes. Furthermore, the proposed framework supports both unexpected (bottom-up) object recognition and expected (top-down) object recognition. We demonstrate the approach on, a simple domain by recognizing a restricted class of hand-tools from 2-D images.< >

关键词： Object recognition pattern 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450页 << < 441 442 443 444 445 446 447 448 449 450 > >>

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：