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

1,535 篇 会议
21 册 图书
13 篇 期刊文献

馆藏范围

1,569 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,449 篇 工学
- 1,046 篇 计算机科学与技术...
- 655 篇 机械工程
- 358 篇 电气工程
- 111 篇 软件工程
- 55 篇 控制科学与工程
- 49 篇 信息与通信工程
- 35 篇 光学工程
- 28 篇 仪器科学与技术
- 17 篇 网络空间安全
- 15 篇 生物工程
- 9 篇 生物医学工程（可授...
- 8 篇 电子科学与技术（可...
- 8 篇 安全科学与工程
- 7 篇 测绘科学与技术
- 4 篇 化学工程与技术
- 3 篇 建筑学
112 篇 医学
- 108 篇 临床医学
- 6 篇 基础医学(可授医学...
- 4 篇 特种医学
87 篇 理学
- 38 篇 物理学
- 34 篇 数学
- 24 篇 生物学
- 12 篇 统计学（可授理学、...
- 9 篇 系统科学
- 5 篇 化学
42 篇 管理学
- 32 篇 图书情报与档案管...
- 10 篇 管理科学与工程(可...
24 篇 艺术学
- 24 篇 设计学（可授艺术学...
19 篇 法学
- 19 篇 社会学
15 篇 文学
- 15 篇 新闻传播学
2 篇 教育学
2 篇 农学
1 篇 经济学

主题

528 篇 computer vision
139 篇 face recognition
135 篇 pattern recognit...
135 篇 feature extracti...
130 篇 cameras
129 篇 image segmentati...
128 篇 object recogniti...
115 篇 object detection
103 篇 training
98 篇 robustness
94 篇 images
92 篇 image recognitio...
90 篇 shape
90 篇 layout
84 篇 visualization
77 篇 image reconstruc...
76 篇 humans
70 篇 computer science
66 篇 computational mo...
66 篇 image classifica...

机构

23 篇 rhein westfal th...
18 篇 carnegie mellon ...
16 篇 chinese acad sci...
15 篇 stanford univ st...
14 篇 univ chinese aca...
11 篇 australian natl ...
11 篇 univ calif berke...
10 篇 univ sci & techn...
10 篇 mit cambridge ma...
10 篇 univ maryland co...
9 篇 microsoft res as...
9 篇 univ washington ...
8 篇 microsoft resear...
8 篇 microsoft res re...
8 篇 natl univ singap...
7 篇 chinese univ hon...
7 篇 tech univ munich...
6 篇 mpi intelligent ...
6 篇 kaust thuwal
6 篇 imperial coll lo...

作者

20 篇 leibe bastian
12 篇 ji qiang
10 篇 li stan z.
9 篇 pal umapada
8 篇 zhang lei
8 篇 chellappa rama
8 篇 lei zhen
8 篇 zafeiriou stefan...
8 篇 hu weiming
8 篇 hua gang
7 篇 ramanan deva
7 篇 wang xiaogang
7 篇 yan shuicheng
7 篇 mubarak shah
6 篇 van gool luc
6 篇 darrell trevor
6 篇 luiten jonathon
6 篇 pollefeys marc
6 篇 bischof horst
6 篇 ghanem bernard

语言

1,554 篇 英文
9 篇 土耳其文
2 篇 日文
2 篇 其他
1 篇 西班牙文
1 篇 中文

检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR"

共 1569 条记录，以下是141-150 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：

Recognizing Actions from Depth Cameras as Weakly Aligned Multi-Part Bag-of-Poses

Recognizing Actions from Depth Cameras as Weakly Aligned Mul...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Seidenari, Lorenzo Varano, Vincenzo Berretti, Stefano Del Bimbo, Alberto Pala, Pietro Univ Florence I-50121 Florence Italy

ISBN: (纸本)9780769549903

Recently released depth cameras provide effective estimation of 3D positions of skeletal joints in temporal sequences of depth maps. In this work, we propose an efficient yet effective method to recognize human actions based on the positions of joints. First, the body skeleton is decomposed in a set of kinematic chains, and the position of each joint is expressed in a locally defined reference system which makes the coordinates invariant to body translations and rotations. A multi-part bag-of-poses approach is then defined, which permits the separate alignment of body parts through a nearest-neighbor classification. Experiments conducted on the Florence 3D Action dataset and the MSR Daily Activity dataset show promising results.

关键词： cameras gesture recognition image representation pattern classification position measurement

来源：评论

学校读者我要写书评

暂无评论

A Bayesian Approach to Multimodal Visual Dictionary Learning

A Bayesian Approach to Multimodal Visual Dictionary Learning

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Irie, Go Liu, Dong Li, Zhenguo Chang, Shih-Fu NTT Corp Atsugi Kanagawa Japan Columbia Univ New York NY 10027 USA

ISBN: (纸本)9780769549897

Despite significant progress, most existing visual dictionary learning methods rely on image descriptors alone or together with class labels. However, Web images are often associated with text data which may carry substantial information regarding image semantics, and may be exploited for visual dictionary learning. this paper explores this idea by leveraging relational information between image descriptors and textual words via co-clustering, in addition to information of image descriptors. Existing co-clustering methods are not optimal for this problem because they ignore the structure of image descriptors in the continuous space, which is crucial for capturing visual characteristics of images. We propose a novel Bayesian co-clustering model to jointly estimate the underlying distributions of the continuous image descriptors as well as the relationship between such distributions and the textual words through a unified Bayesian inference. Extensive experiments on image categorization and retrieval have validated the substantial value of the proposed joint modeling in improving visual dictionary learning, where our model shows superior performance over several recent methods.

关键词： Internet belief networks image classification image retrieval learning (artificial intelligence) pattern clustering text analysis

来源：评论

学校读者我要写书评

暂无评论

Bottom-up Segmentation for Top-down Detection

Bottom-up Segmentation for Top-down Detection

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Fidler, Sanja Mottaghi, Roozbeh Yuille, Alan Urtasun, Raquel TTI Chicago Chicago IL 60637 USA

ISBN: (纸本)9780769549897

In this paper we are interested in how semantic segmentation can help object detection. Towards this goal, we propose a novel deformable part-based model which exploits region-based segmentation algorithms that compute candidate object regions by bottom-up clustering followed by ranking of those regions. Our approach allows every detection hypothesis to select a segment (including void), and scores each box in the image using both the traditional HOG filters as well as a set of novel segmentation features. thus our model "blends" between the detector and segmentation models. Since our features can be computed very efficiently given the segments, we maintain the same complexity as the original DPM [14]. We demonstrate the effectiveness of our approach in PASCAL VOC 2010, and show that when employing only a root filter our approach outperforms Dalal & Triggs detector [12] on all classes, achieving 13% higher average AP. When employing the parts, we outperform the original DPM [14] in 19 out of 20 classes, achieving an improvement of 8% AP. Furthermore, we outperform the previous state-of-the-art on VOC' 10 test by 4%.

关键词： computational geometry filtering theory image segmentation object detection pattern clustering

来源：评论

学校读者我要写书评

暂无评论

Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques

Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimens...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Zeng, Yun Wang, Chaohui Soatto, Stefano Yau, Shing-Tung Harvard Univ Cambridge MA 02138 USA Univ Calif Los Angeles Los Angeles CA USA

ISBN: (纸本)9780769549897

this paper introduces an efficient approach to integrating non-local statistics into the higher-order Markov Random Fields (MRFs) framework. Motivated by the observation that many non-local statistics (e.g., shape priors, color distributions) can usually be represented by a small number of parameters, we reformulate the higher-order MRF model by introducing additional latent variables to represent the intrinsic dimensions of the higher-order cliques. the resulting new model, called NC-MRF, not only provides the flexibility in representing the configurations of higher-order cliques, but also automatically decomposes the energy function into less coupled terms, allowing us to design an efficient algorithmic framework for maximum a posteriori (MAP) inference. Based on this novel modeling/inference framework, we achieve state-of-the-art solutions to the challenging problems of class-specific image segmentation and template-based 3D facial expression tracking, which demonstrate the potential of our approach.

关键词： Markov processes face recognition image segmentation inference mechanisms random processes

来源：评论

学校读者我要写书评

暂无评论

Efficient Computation of Shortest Path-Concavity for 3D Meshes

Efficient Computation of Shortest Path-Concavity for 3D Mesh...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Zimmer, Henrik Campen, Marcel Kobbelt, Leif Rhein Westfal TH Aachen Comp Graph Grp Aachen Germany

ISBN: (纸本)9780769549897

In the context of shape segmentation and retrieval object-wide distributions of measures are needed to accurately evaluate and compare local regions of shapes. Lien et al. [16] proposed two point-wise concavity measures in the context of Approximate Convex Decompositions of polygons measuring the distance from a point to the polygon's convex hull: an accurate Shortest Path-Concavity (SPC) measure and a Straight Line-Concavity (SLC) approximation of the same. While both are practicable on 2D shapes, the exponential costs of SPC in 3D makes it inhibitively expensive for a generalization to meshes [14]. In this paper we propose an efficient and straight forward approximation of the Shortest Path-Concavity measure to 3D meshes. Our approximation is based on discretizing the space between mesh and convex hull, thereby reducing the continuous Shortest Path search to an efficiently solvable graph problem. Our approach works out-of-the-box on complex mesh topologies and requires no complicated handling of genus. Besides presenting a rigorous evaluation of our method on a variety of input meshes, we also define an SPC-based Shape Descriptor and show its superior retrieval and runtime performance compared with the recently presented results on the Convexity Distribution by Lian et al. [12].

关键词： approximation theory computational geometry graph theory image retrieval image segmentation mesh generation shape recognition

来源：评论

学校读者我要写书评

暂无评论

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling

Augmenting CRFs with Boltzmann Machine Shape Priors for Imag...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Kae, Andrew Sohn, Kihyuk Lee, Honglak Learned-Miller, Erik Univ Massachusetts Amherst MA 01003 USA Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9780769549897

Conditional random fields (CRFs) provide powerful tools for building models to label image segments. they are particularly well-suited to modeling local interactions among adjacent regions (e.g., superpixels). However, CRFs are limited in dealing with complex, global (long-range) interactions between regions. Complementary to this, restricted Boltzmann machines (RBMs) can be used to model global shapes produced by segmentation models. In this work, we present a new model that uses the combined power of these two network types to build a state-of-the-art labeler. Although the CRF is a good baseline labeler, we show how an RBM can be added to the architecture to provide a global shape bias that complements the local modeling provided by the CRF. We demonstrate its labeling performance for the parts of complex face images from the Labeled Faces in the Wild data set. this hybrid model produces results that are both quantitatively and qualitatively better than the CRF alone. In addition to high-quality labeling results, we demonstrate that the hidden units in the RBM portion of our model can be interpreted as face attributes that have been learned without any attribute-level supervision.

关键词： Boltzmann machines face recognition image segmentation

来源：评论

学校读者我要写书评

暂无评论

Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-modality Regression Forest

Unconstrained Monocular 3D Human Pose Estimation by Action D...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Yu, Tsz-Ho Kim, Tae-Kyun Cipolla, Roberto Univ Cambridge Cambridge England Imperial Coll London London England

ISBN: (纸本)9780769549897

this work addresses the challenging problem of unconstrained 3D human pose estimation (HPE) from a novel perspective. Existing approaches struggle to operate in realistic applications, mainly due to their scene-dependent priors, such as background segmentation and multi-camera network, which restrict their use in unconstrained environments. We therfore present a framework which applies action detection and 2D pose estimation techniques to infer 3D poses in an unconstrained video. Action detection offers spatiotemporal priors to 3D human pose estimation by both recognising and localising actions in space-time. Instead of holistic features, e.g. silhouettes, we leverage the flexibility of deformable part model to detect 2D body parts as a feature to estimate 3D poses. A new unconstrained pose dataset has been collected to justify the feasibility of our method, which demonstrated promising results, significantly outperforming the relevant state-of-the-arts.

关键词： natural scenes object recognition pose estimation regression analysis spatiotemporal phenomena video signal processing

来源：评论

学校读者我要写书评

暂无评论

Continuous 3D Face Authentication using RGB-D Cameras

Continuous 3D Face Authentication using RGB-D Cameras

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Segundo, Mauricio Pamplona Sarkar, Sudeep Goldgof, Dmitry Silva, Luciano Bellon, Olga Univ S Florida Tampa FL 33620 USA Univ Fed Prana IMAGO Res Grp Parana Brazil

ISBN: (纸本)9780769549903

We present a continuous 3D face authentication system that uses a RGB-D camera to monitor the accessing user and ensure that only the allowed user uses a protected system. At the best of our knowledge, this is the first system that uses 3D face images to accomplish such objective. By using depth images, we reduce the amount of user cooperation that is required by the previous continuous authentication works in the literature. We evaluated our system on four 40 minutes long videos with variations in facial expressions, occlusions and pose, and an equal error rate of 0.8% was achieved.

关键词： authorisation emotion recognition face recognition image colour analysis image sensors pose estimation

来源：评论

学校读者我要写书评

暂无评论

Translation Symmetry Detection: A Repetitive pattern Analysis Approach

Translation Symmetry Detection: A Repetitive Pattern Analysi...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Cai, Yunliang Baciu, George Hong Kong Polytech Univ Dept Comp GAMA Lab Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9780769549903

Translation symmetry is one of the most important pattern characteristics in natural and man-made environments. Detecting translation symmetry is a grand challenge in computer vision. this has a large spectrum of real-world applications from industrial settings to design, arts, entertainment and eduction. this paper describes the algorithm we have submitted for the Symmetry Detection Competition 2013. We introduce two new concepts in our symmetric repetitive pattern detection algorithm. the first concept is the bottom-up detection-inference approach. this extends the versatility of current detection methods to a higher level segmentation. the second concept is the framework of a new theoretical analysis of invariant repetitive patterns. this is crucial in symmetry/non-symmetry structure extraction but has less coverage in the previous literature on pattern detection and classification.

关键词： computer vision image segmentation pattern classification

来源：评论

学校读者我要写书评

暂无评论

Exploring Implicit Image Statistics for Visual Representativeness Modeling

Exploring Implicit Image Statistics for Visual Representativ...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Sun, Xiaoshuai Wang, Xin-Jing Yao, Hongxun Zhang, Lei Harbin Inst Technol Sch Comp Sci & Technol Harbin 150006 Peoples R China Microsoft Res Asia Beijing Peoples R China

ISBN: (纸本)9780769549897

In this paper, we propose a computational model of visual representativeness by integrating cognitive theories of representativeness heuristics with computer vision and machine learning techniques. Unlike previous models that build their representativeness measure based on the visible data, our model takes the initial inputs as explicit positive reference and extend the measure by exploring the implicit negatives. Given a group of images that contains obvious visual concepts, we create a customized image ontology consisting of both positive and negative instances by mining the most related and confusable neighbors of the positive concept in ontological semantic knowledge bases. the representativeness of a new item is then determined by its likelihoods for both the positive and negative references. To ensure the effectiveness of probability inference as well as the cognitive plausibility, we discover the potential prototypes and treat them as an intermediate representation of semantic concepts. In the experiment, we evaluate the performance of representativeness models based on both human judgements and user-click logs of commercial image search engine. Experimental results on both ImageNet and image sets of general concepts demonstrate the superior performance of our model against the state-of-the-arts.

关键词： computer vision image representation knowledge based systems learning (artificial intelligence) ontologies (artificial intelligence)

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157页 << < 11 12 13 14 15 16 17 18 19 20 > >>

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：