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

6,810 篇 会议
36 篇 期刊文献
12 册 图书

馆藏范围

6,857 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

4,042 篇 工学
- 3,808 篇 计算机科学与技术...
- 1,615 篇 软件工程
- 847 篇 光学工程
- 383 篇 信息与通信工程
- 286 篇 控制科学与工程
- 212 篇 机械工程
- 189 篇 电气工程
- 97 篇 生物医学工程（可授...
- 80 篇 电子科学与技术（可...
- 79 篇 生物工程
- 62 篇 仪器科学与技术
- 39 篇 力学（可授工学、理...
- 38 篇 建筑学
- 37 篇 土木工程
- 34 篇 航空宇航科学与技...
- 29 篇 安全科学与工程
- 24 篇 测绘科学与技术
- 23 篇 交通运输工程
- 22 篇 化学工程与技术
1,618 篇 理学
- 1,021 篇 物理学
- 1,005 篇 数学
- 379 篇 统计学（可授理学、...
- 160 篇 生物学
- 38 篇 系统科学
- 27 篇 化学
185 篇 管理学
- 132 篇 图书情报与档案管...
- 56 篇 管理科学与工程(可...
- 32 篇 工商管理
153 篇 医学
- 153 篇 临床医学
- 22 篇 基础医学(可授医学...
18 篇 法学
11 篇 教育学
10 篇 农学
7 篇 经济学
2 篇 军事学
1 篇 艺术学

主题

2,394 篇 computer vision
879 篇 pattern recognit...
667 篇 cameras
663 篇 computer science
633 篇 face recognition
577 篇 layout
550 篇 image segmentati...
524 篇 conferences
520 篇 shape
479 篇 object recogniti...
470 篇 robustness
411 篇 humans
354 篇 feature extracti...
338 篇 object detection
308 篇 training
278 篇 application soft...
270 篇 image recognitio...
263 篇 lighting
241 篇 image reconstruc...
236 篇 computational mo...

机构

43 篇 microsoft resear...
26 篇 department of co...
21 篇 swiss fed inst t...
21 篇 school of comput...
20 篇 department of co...
19 篇 swiss fed inst t...
19 篇 carnegie mellon ...
18 篇 department of co...
18 篇 the robotics ins...
17 篇 department of in...
17 篇 robotics institu...
17 篇 institute of com...
16 篇 univ sci & techn...
15 篇 tsinghua univ pe...
14 篇 department of el...
14 篇 computer vision ...
14 篇 school of comput...
14 篇 microsoft resear...
14 篇 school of comput...
13 篇 univ maryland co...

作者

39 篇 timofte radu
28 篇 s.k. nayar
26 篇 huang thomas s.
24 篇 xiaoou tang
24 篇 t. kanade
21 篇 t.s. huang
20 篇 van gool luc
20 篇 chellappa rama
19 篇 nayar shree k.
19 篇 t. darrell
17 篇 li stan z.
17 篇 torralba antonio
17 篇 a.k. jain
17 篇 a. zisserman
17 篇 jain anil k.
16 篇 m. hebert
16 篇 g. healey
16 篇 heung-yeung shum
16 篇 zisserman andrew
15 篇 m. shah

语言

6,856 篇 英文
2 篇 中文
1 篇 土耳其文

检索条件"任意字段=2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006"

共 6858 条记录，以下是4861-4870 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：

A unified mixture framework for motion segmentation: incorporating spatial coherence and estimating the number of models

A unified mixture framework for motion segmentation: incorpo...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Y. Weiss E.H. Adelson Department of Brain and Cognitive Sciences Cambridge MA USA

Describing a video sequence in terms of a small number of coherently moving segments is useful for tasks ranging from video compression to event perception. A promising approach is to view the motion segmentation problem in a mixture estimation framework. However, existing formulations generally use only the motion, data and thus fail to make use of static cues when segmenting the sequence. Furthermore, the number of models is either specified in advance or estimated outside the mixture model framework. In this work we address both of these issues. We show how to add spatial constraints to the mixture formulations and present a variant of the EM algorithm that males use of both the form and the motion constraints. Moreover this algorithm estimates the number of segments given knowledge about the level of model failure expected in the sequence. The algorithm's performance is illustrated on synthetic and real image sequences.

关键词： Motion segmentation computer vision Spatial coherence Motion estimation Optical noise Layout Noise figure Image motion analysis Fluid flow measurement Noise measurement

来源：评论

学校读者我要写书评

暂无评论

computer vision for music identification: video demonstration

Computer vision for music identification: video demonstratio...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Y. Ke D. Hoiem Rahul Sukthankar School of Computer Science Carnegie Mellon University Pittsburgh PA USA Intel Research Pittsburgh Pittsburgh PA USA

This paper describes a demonstration video for our music identification system. The goal of music identification is to reliably recognize a song from a small sample of noisy audio. This problem is challenging because the recording is often corrupted by noise and because the audio sample will only match a small portion of the target song. Additionally, a practical music identification system should scale (in both accuracy and speed) to databases containing hundreds of thousands of songs. Recently, the music identification problem has attracted considerable attention. However, the task remains unsolved, particularly for noisy real-world queries. We cast music identification into an equivalent sub-image retrieval framework: identify the portion of a spectrogram image from the database that best matches a given query snippet. Our approach treats the spectrogram of each music clip as a 2D image and transforms music identification into a corrupted sub-image retrieval problem.

关键词： computer vision Multiple signal classification Acoustic noise Spectrogram Music information retrieval Signal processing algorithms Audio recording Signal processing Speech analysis Image retrieval

来源：评论

学校读者我要写书评

暂无评论

Actions sketch: a novel action representation

Actions sketch: a novel action representation

引用

conference on computer vision and pattern recognition (cvpr)

作者： Alper Yilmaz Mubarak Shah School of Computer Science University of Central Florida Orlando FL USA

In this paper, we propose to model an action based on both the shape and the motion of the performing object. When the object performs an action in 3D, the points on the outer boundary of the object are projected as 2D (x, y) contour in the image plane. A sequence of such 2D contours with respect to time generates a spatiotemporal volume (STV) in (x, y, t), which can be treated as 3D object in the (x, y, t) space. We analyze STV by using the differential geometric surface properties to identify action descriptors capturing both spatial and temporal properties. A set of action descriptors is called an action sketch. The first step in our approach is to generate STV by solving the point correspondence problem between consecutive frames. The correspondences are determined using a two-step graph theoretical approach. After the STV is generated, actions descriptors are computed by analyzing the differential geometric properties of STV. Finally, using these descriptors, we perform action recognition, which is also formulated as graph theoretical problem. Several experimental results are presented to demonstrate our approach.

关键词： Shape Legged locomotion Spatiotemporal phenomena Humans computer vision Hidden Markov models Data mining Trajectory computer science Surface treatment

来源：评论

学校读者我要写书评

暂无评论

Vehicle segmentation and tracking from a low-angle off-axis camera

Vehicle segmentation and tracking from a low-angle off-axis ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： N.K. Kanhere S.J. Pundlik S.T. Birchfield Electrical and Computer Engineering Department Clemson University Clemson SC USA

We present a novel method for visually monitoring a highway when the camera is relatively low to the ground and on the side of the road. In such a case, occlusion and the perspective effects due to the heights of the vehicles cannot be ignored. Features are detected and tracked throughout the image sequence, and then grouped together using a multilevel homography, which is an extension of the standard homography to the low-angle situation. We derive a concept called the relative height constraint that makes it possible to estimate the 3D height of feature points on the vehicles from a single camera, a key part of the technique. Experimental results on several different highways demonstrate the system's ability to successfully segment and track vehicles at low angles, even in the presence of severe occlusion and significant perspective changes.

关键词： Cameras Road vehicles Traffic control computerized monitoring Road transportation Image sequences Automotive engineering US Department of Transportation computer vision Automated highways

来源：评论

学校读者我要写书评

暂无评论

A consensus structure inference algorithm

A consensus structure inference algorithm

引用

conference on computer vision and pattern recognition (cvpr)

作者： D.K.Y. Chiu Department of Computing and Information Science University of Guelph Canada

The notion of consensus structure, a special form of random graph, is formally defined. The consensus structure represents an extended higher-order representation of the random n-tuple for statistical and structural pattern recognition. An algorithm inferring the consensus structure from a random n-tuple is designed based on the detection of statistical interdependency under certain structural constraints. In applying structural constraints, a circular diagram indicating variable interaction is used to extract global structural features in a macromolecular modeling problem.< >

关键词： Inference algorithms Entropy pattern recognition Testing Mutual information Information science Algorithm design and analysis Feature extraction Information analysis

来源：评论

学校读者我要写书评

暂无评论

Word spotting: a new approach to indexing handwriting

Word spotting: a new approach to indexing handwriting

引用

conference on computer vision and pattern recognition (cvpr)

作者： R. Manmatha Chengfeng Han E.M. Riseman Dept. of Comput. Sci. Massachusetts Univ. Amherst MA USA Center for Intelligent Information Retrieval Computer Science Department University of Massachusetts Amherst MA USA

There are many historical manuscripts written in a single hand which it would be useful to index. Examples include the W.B. DuBois collection at the University of Massachusetts and the early Presidential libraries at the Library of Congress. Since Optical Character recognition (OCR) does not work well on handwriting, an alternative scheme based on matching the images of the words is proposed for indexing such texts. The current paper deals with the matching aspects of this process. Two different techniques for matching words are discussed. The first method matches words assuming that the transformation between the words may be modelled by a translation (shift). The second method matches words assuming that the transformation between the words may be modelled by an affine transform. Experiments are shown demonstrating the feasibility of the approach for indexing handwriting. The method should also be applicable to retrieving previously stored material from personal digital assistants (PDAs).

关键词： Indexing Optical character recognition software Handwriting recognition Personal digital assistants Software libraries Information retrieval computer science Image recognition Text recognition Information resources

来源：评论

学校读者我要写书评

暂无评论

A model for dynamic shape and its applications

A model for dynamic shape and its applications

引用

conference on computer vision and pattern recognition (cvpr)

作者： Che-Bin Liu N. Ahuja Beckman Institute University of Illinois Urbana-Champaign Urbana-Champaign IL USA

Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the 2-D shape of an object. We represent 2-D region shape in terms of the spatial frequency content of the region contour using Fourier coefficients. The temporal changes in these coefficients are used as the temporal signatures of the shape changes. Specifically, we use autoregressive model of the coefficient series. We demonstrate the efficacy of the model on several applications. First, we use the model parameters as discriminating features for object recognition and classification. Second, we show the use of the model for synthesis of dynamic shape using the model learned from a given image sequence. Third, we show that, with its capability of predicting shape, the model can be used to predict contours of moving regions, which can be used as initial estimates for the contour, based tracking methods.

关键词： Shape Predictive models Object recognition Fires Video sequences Image sequences computer vision Fourier transforms Algorithm design and analysis Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Multi-stage target recognition using modular vector quantizers and multilayer perceptrons

Multi-stage target recognition using modular vector quantize...

引用

conference on computer vision and pattern recognition (cvpr)

作者： L.A. Chan N.M. Nasrabadi V. Mirelli Department of Electrical and Computer Engineering State University of New York University at Buffalo Buffalo NY USA US Army Research Laboratory Fort Belvoir VA USA

An automatic target recognition (ATR) classifier is proposed that uses modularly cascaded vector quantizers (VQs) and multilayer perceptrons (MLPs). A dedicated VQ codebook is constructed for each target class at a specific range of aspects, which is trained with the K-means algorithm and a modified learning vector quantization (LVQ) algorithm. Each final codebook is expected to give the lowest mean squared error (MSE) for its correct target class at a given range of aspects. These MSEs are then processed by an array of window MLPs and a target MLP consecutively. In the spatial domain, target recognition rates of 90.3 and 65.3 percent are achieved for moderately and highly cluttered test sets, respectively. Using the wavelet decomposition with an adaptive and independent codebook per sub-band, the VQs alone have produced recognition rates of 98.7 and 69.0 percent on more challenging training and test sets, respectively.

关键词： Target recognition Multilayer perceptrons Vector quantization Books Pixel Error correction codes Automatic testing System testing Area measurement

来源：评论

学校读者我要写书评

暂无评论

Fast recognition using adaptive subdivisions of transformation space

Fast recognition using adaptive subdivisions of transformati...

引用

conference on computer vision and pattern recognition (cvpr)

作者： T.M. Breuel MIT Artificial Intelligence Laboratory Cambridge MA USA IDIAP Martigny Switzerland

An algorithm, RAST, for solving the bounded error recognition problem efficiently using adaptive subdivisions of transformation space, is presented. The RAST algorithm uses no heuristics and loses no solutions. It is a simple, efficient algorithm combining the ideas of multiresolution matching, Hough transform, search-based recognition, and bounded error recognition. Its performance is better than that of alignment and Hough transform methods, and, as opposed to these methods; RAST finds solutions satisfying simple, well-defined bounded error criteria.< >

关键词： Clustering algorithms Artificial intelligence Laboratories Contracts Polynomials Biological system modeling Heuristic algorithms Object recognition Image recognition Solid modeling

来源：评论

学校读者我要写书评

暂无评论

Tracking Humans using Multi-modal Fusion

Tracking Humans using Multi-modal Fusion

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： Xiaotao Zou B. Bhanu Center for Research in Intelligent Systems University of California Riverside CA USA

Human motion detection plays an important role in automated surveillance systems. However, it is challenging to detect non-rigid moving objects (e.g. human) robustly in a cluttered environment. In this paper, we compare two approaches for detecting walking humans using multi-modal measurements- video and audio sequences. The first approach is based on the Time-Delay Neural Network (TDNN), which fuses the audio and visual data at the feature level to detect the walking human. The second approach employs the Bayesian Network (BN) for jointly modeling the video and audio signals. Parameter estimation of the graphical models is executed using the Expectation-Maximization (EM) algorithm. And the location of the target is tracked by the Bayes inference. Experiments are performed in several indoor and outdoor scenarios: in the lab, more than one person walking, occlusion by bushes etc. The comparison of performance and efficiency of the two approaches are also presented.

关键词： Humans Legged locomotion Motion detection Surveillance Object detection Robustness Anthropometry Neural networks Fuses computer vision

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500页 << < 483 484 485 486 487 488 489 490 491 492 > >>

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：