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

72 篇 会议
1 篇 期刊文献

馆藏范围

73 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

66 篇 工学
- 34 篇 控制科学与工程
- 33 篇 仪器科学与技术
- 27 篇 计算机科学与技术...
- 24 篇 软件工程
- 7 篇 光学工程
- 5 篇 信息与通信工程
- 3 篇 生物工程
- 2 篇 生物医学工程（可授...
- 2 篇 安全科学与工程
- 1 篇 交通运输工程
33 篇 艺术学
- 33 篇 设计学（可授艺术学...
19 篇 理学
- 11 篇 数学
- 7 篇 物理学
- 5 篇 统计学（可授理学、...
- 3 篇 生物学
- 1 篇 地质学
- 1 篇 系统科学
8 篇 管理学
- 8 篇 图书情报与档案管...

主题

21 篇 pattern recognit...
7 篇 image segmentati...
7 篇 feature extracti...
7 篇 training
5 篇 support vector m...
5 篇 decision support...
5 篇 hidden markov mo...
5 篇 local binary pat...
5 篇 optimization
5 篇 semantics
5 篇 face
5 篇 robustness
4 篇 three-dimensiona...
4 篇 videos
4 篇 face recognition
4 篇 benchmark testin...
4 篇 kernel
3 篇 neural networks
3 篇 iterative method...
3 篇 computational mo...

机构

7 篇 cas center for e...
4 篇 center for resea...
4 篇 national laborat...
4 篇 casia center for...
4 篇 computer vision ...
4 篇 casia national l...
3 篇 center for excel...
3 篇 institute of aut...
2 篇 institute of com...
2 篇 toppan printing ...
2 篇 huazhong univers...
2 篇 national laborat...
2 篇 3d impact media ...
2 篇 center for resea...
2 篇 national laborat...
2 篇 department of cs...
2 篇 image and patter...
2 篇 national key lab...
2 篇 dept. of cse iit...
2 篇 department of cs...

作者

5 篇 he ran
4 篇 tan tieniu
4 篇 ran he
3 篇 umapada pal
3 篇 partha pratim ro...
3 篇 tieniu tan
3 篇 huang kaiqi
3 篇 sun zhenan
2 篇 wang liang
2 篇 kaiqi huang
2 篇 zhenan sun
2 篇 deng weihong
2 篇 cheng-lin liu
2 篇 zhang man
2 篇 takafumi aoki
2 篇 liang wang
2 篇 li qi
2 篇 cao dong
2 篇 man zhang
2 篇 ayan das

语言

72 篇 英文
1 篇 中文

检索条件"任意字段=3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015"

共 73 条记录，以下是21-30 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：

Supervised topology preserving hashing 3

Supervised topology preserving hashing

引用

3rd iapr asian conference on pattern recognition, acpr 2015

作者： Zhang, Shu Zhang, Man Li, Qi Tan, Tieniu He, Ran Center for Research on Intelligent Perception and Computing CASIA China National Laboratory of Pattern Recognition CASIA China Center for Excellence in Brain Science and Intelligence Technology CAS China

ISBN: (纸本)9781479961009

Learning based hashing is gaining traction in large-scale retrieval systems. It aims to learn compact binary codes that can preserve semantic similarity in the hamming space. This paper presents a supervised topology hashing (SPTH) algorithm to learn compact binary codes that can exploit both the supervisory information as well as the local topology structure of datasets. To build a connection between the original space and the resultant hamming space, we minimize the quantization errors together with a classification error term and a topology preserving term. A nonlinear kernel feature space is further used to improve the generalization power. An alternating iterative algorithm is developed to minimize the complex objective function that contains both continuous and discrete variables. Experimental results on three benchmark datasets demonstrate the effectiveness of the proposed method on image retrieval tasks. © 2015 IEEE.

关键词： Binary codes

来源：评论

学校读者我要写书评

暂无评论

Linear multimodal fusion in video concept analysis based on node equilibrium model 3

Linear multimodal fusion in video concept analysis based on ...

引用

3rd iapr asian conference on pattern recognition, acpr 2015

作者： Geng, Jie Miao, Zhenjiang Liang, Qinghua Wang, Shu Institute of Information Science Beijing Jiaotong University No.3 Shangyuancun Haidian District Beijing100044 China

ISBN: (纸本)9781479961009

Multiple modalities such as color, texture, shape and motion need to be analyzed separately and fused together to get the comprehensive result in content-based video concept analysis. We propose a multimodal fusion method based on a mechanical node equilibrium model. It treats the scores ofmultiple modalities and the fused score as physical nodes. Between these nodes, we define correlations which are treated as forces to move the nodes to a new position. Finally, the whole node system will be at an equilibrium status which is regarded as the fusion result. Essentially, the proposed method is a linear fusion model with linear fusion equations. The correlations are optimized by an expectation maximum (EM) algorithm which is quite efficient needing only several iterations. © 2015 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Principal affinity based cross-modal retrieval 3

Principal affinity based cross-modal retrieval

引用

3rd iapr asian conference on pattern recognition, acpr 2015

作者： Liang, Jian Cao, Dong He, Ran Sun, Zhenan Tan, Tieniu Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences China

ISBN: (纸本)9781479961009

Multimedia content is increasingly available in multiple modalities. Each modality provides a different representation of the same entity. This paper studies the problem of joint representation of the text and image components of multimedia documents. However, most existing algorithms focus more on inter-modal connection rather than intramodal feature extraction. In this paper, a simple yet effective principal affinity representation (PAR) approach is proposed to exploit the affinity representations of different modalities with local cluster samples. Afterwards, multi-class logistic regression model is adopted to learn the projections from principal affinity representation to semantic labels vectors. Inner product distance is further used to improve cross-modal retrieval performance. Extensive experiments on three benchmark datasets illustrate that our proposed method obtains significant improvements over the state-of-the-art subspace learning based cross-modal methods. © 2015 IEEE.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Float greedy-search-based subspace clustering 3

Float greedy-search-based subspace clustering

引用

3rd iapr asian conference on pattern recognition, acpr 2015

作者： Song, Lingxiao Zhang, Man Li, Qi Sun, Zhenan He, Ran Center for Research on Intelligent Perception and Computing CASIA China National Laboratory of Pattern Recognition CASIA China Center for Excellence in Brain Science and Intelligence Technology CAS China

ISBN: (纸本)9781479961009

Many kinds of efficient greedy subspace clustering methods have been proposed to cut down the computation time in clustering large-scale multimedia datasets. However, these methods are easy to fall into local optimum due to the inherent characteristic of greedy algorithms, which are stepoptimal only. To alleviate this problem, this paper proposes a novel greedy subspace clustering strategy based on floating search, called Float Greedy Subspace Clustering (FloatGSC). In order to control the complexity, the nearest subspace neighbor is added in a greedy way, and the subspace is updated by adding an orthogonal basis involved with the newly added data points in each iteration. Besides, a backtracking mechanism is introduced after each iteration to reject wrong neighbors selected in previous iterations. Extensive experiments on motion segmentation and face clustering show that our algorithm can significantly improve the clustering accuracy without sacrificing much computational time, compared with previous greedy subspace clustering methods. © 2015 IEEE.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

Hierarchical motion evolution for action recognition 3

Hierarchical motion evolution for action recognition

引用

3rd iapr asian conference on pattern recognition, acpr 2015

作者： Wang, Hongsong Wang, Wei Wang, Liang Center for Research on Intelligent Perception and Computing Institute of Automation China National Laboratory of Pattern Recognition Chinese Academy of Sciences China

ISBN: (纸本)9781479961009

Human action can be decomposed into a series of temporally correlated motions. Since the traditional bag-of-words framework based on local features cannot model global motion evolution of actions, models like Recurrent Neural Network (RNN) [15] and VideoDarwin [5] are accordingly explored to capture video-wise temporal information. Inspired by VideoDarwin, in this paper, we present a novel hierarchical scheme to learn better video representation, called HiVideoDarwin. Specifically, we first use different ranking machines to learn motion descriptors of local video clips. Then, in order to model motion evolution, we encode features obtained in previous layer again using a ranking machine. Compared with VideoDarwin, HiVideoDarwin captures the global and high-level video representation and is robust to large appearance changes. Compared with RN-N, HiVideoDarwin can also abstract semantic information in a hierarchical way and is fast to compute and easy to interpret. We evaluate the proposed method on two datasets, namely MPII Cooking and Chalearn. Experimental results show that HiVideoDarwin has distinct advantages over the state-of-the-art models. Additional sensitivity analysis reveals that the overall results are hardly affected by parameter changes. © 2015 IEEE.

关键词： Sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

Mirrored non-maximum suppression for accurate object part localization 3

Mirrored non-maximum suppression for accurate object part lo...

引用

3rd iapr asian conference on pattern recognition, acpr 2015

作者： Fu, Lianrui Zhang, Junge Huang, Kaiqi Center for Research on Intelligent Perception and Computing China National Laboratory of Pattern Recognition China CAS Center for Excellence in Brain Science and Intelligence Technology China Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781479961009

There has been significant progress in object part localization such as human pose estimation and facial landmark detection. In most of the previous methods, two phenomena are ignored. Firstly, they usually output a set of candidate pose hypotheses but the hypothesis with the highest score obtained by Non-Maximum Suppression (NMS) is not always the optimal result. Secondly, they can not get exactly bilaterally symmetric keypoints on the mirrored images even though the training data is always augmented with mirrored images. In fact, the intrinsic relationship between the original image and the mirrored one is helpful for object part localization. In this paper, we propose Mirrored Non-Maximum Suppression (Mirrored NMS) which can utilize mirrored detections to improve the accuracy of object part localization. Experimental results show that our method can improve the state-of-the-art accuracy by 1.3∼3.0% in PCP for human pose estimation and can produce more accurate results than averaging multiple hypotheses for facial landmark detection. © 2015 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Noise-resistant local binary pattern based on random projection 3

Noise-resistant local binary pattern based on random project...

引用

3rd iapr asian conference on pattern recognition, acpr 2015

作者： Li, Shasha Tu, Yukai Deng, Weihong Lu, Jiwen Beijing University of Posts and Telecommunications No.10 Xitucheng Road Haidian District Beijing China Tsinghua University Tsinghua Campus Haidian District Beijing China

ISBN: (纸本)9781479961009

Local binary pattern (LBP) is sensitive to noise. LBP projects local patch to eight-dimension vector by operating subtractions between pixel and its neighborhood. Two adjacent pixel values are generally very close, thus little noise can change their relative magnitude, leading to coding err. Using another projecting approach, random projection, as an alternate, we propose local binary pattern based on random projection (RPLBP), which is much more robust to noise while remaining computationally simple. Experiments on the aligned FERET database show that RPLBP has outstanding robustness to variations in illumination, facing expressions and aging. It's worth mentioning that the proposed RPBLP demonstrates superior noise-resistant performance to LBP and NRLBP. © 2015 IEEE.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios 3

Multi-attribute learning for pedestrian attribute recognitio...

引用

3rd iapr asian conference on pattern recognition, acpr 2015

作者： Li, Dangwei Chen, Xiaotang Huang, Kaiqi CRIPAC NLPR CASIA China CAS Center for Excellence in Brain Science and Intelligence Technology China

ISBN: (纸本)9781479961009

In real video surveillance scenarios, visual pedestrian attributes, such as gender, backpack, clothes types, are very important for pedestrian retrieval and person reidentification. Existing methods for attributes recognition have two drawbacks: (a) handcrafted features (e.g. color histograms, local binary patterns) cannot cope well with the difficulty of real video surveillance scenarios;(b) the relationship among pedestrian attributes is ignored. To address the two drawbacks, we propose two deep learning based models to recognize pedestrian attributes. On the one hand, each attribute is treated as an independent component and the deep learning based single attribute recognition model (DeepSAR) is proposed to recognize each attribute one by one. On the other hand, to exploit the relationship among attributes, the deep learning framework which recognizes multiple attributes jointly (DeepMAR) is proposed. In the DeepMAR, one attribute can contribute to the representation of other attributes. For example, the gender of woman can contribute to the representation oflong hair and wearing skirt. Experiments on recent popular pedestrian attribute datasets illustrate that our proposed models achieve the state-of-the-art results. © 2015 IEEE.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

PCA-LDANet: A Simple Feature Learning Method for Image Classification 4

PCA-LDANet: A Simple Feature Learning Method for Image Class...

引用

4th iapr asian conference on pattern recognition (acpr)

作者： Ge, Yukun Hu, Jiani Deng, Weihong Beijing Univ Posts & Telecommun 10 Xitucheng Rd Beijing Peoples R China

ISBN: (纸本)9781538633540

In this paper, we propose a simple and effective feature learning architecture for image classcation that is based on very basic data processing components: 1) principal component analysis (PCA);2) linear discriminant analysis (LDA);and 3) binary hashing and blockwise histograms. In this architecture, the PCA is employed to reconstruct patches of input images, and the LDA is employed to learn filter banks. This is followed by simple binary hashing and block wise histograms for indexing. This architecture is motivated by LDANet and PCANet [3], thus called the PCA LDA Network (PCA-LDANet). They have some similarities in their topologies. We have tested the PCA-LDANet on two visual datasets for different tasks, including the Facial recognition Technology (FERET) dataset for face recognition;and MNIST dataset for hand-written digit recognition. To explore the properties and essence of these architectures, we just conduct experiments on the one-stage networks. It is enough to explain the issue properly. Experimental results show that the PCA-LDANet-1 outperforms both PCANet-1 and LDANet-1 on both datasets. The experimental results demonstrate the effectiveness and distinctiveness of the PCA-LDANet;and the important role of PCA patch reconstruction in the PCA-LDANet.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

An extension of PatchMatch Stereo for 3D reconstruction from multi-view images 3

An extension of PatchMatch Stereo for 3D reconstruction from...

引用

3rd iapr asian conference on pattern recognition, acpr 2015

作者： Hiradate, Mutsuki Ito, Koichi Aoki, Takafumi Watanabe, Takafumi Unten, Hiroki Graduate School of Information Sciences Tohoku University Sendai980-8579 Japan Toppan Printing Co. Ltd. Bunkyo-ku Tokyo112-8531 Japan

ISBN: (纸本)9781479961009

PatchMatch Stereo is a method generating a depth map from stereo images by repeatedly applying spatial propagation and view propagation to the depth map. The extension of PatchMatch Stereo for multi-view 3D reconstruction has been recently proposed. This extension is very ad hoc and does not fully utilize the potential of multi-view images, since the method generates a 3D point cloud by combining a set of depth maps obtained from each binocular stereo image pair. This paper proposes a multi-view 3D reconstruction method using PatchMatch Stereo. To fully utilize the impact of multi-view images, the proposed method have two key ideas: (i) integrate matching scores from multiple stereo image pairs and (ii) perform view propagation among multi-view images. The use of multi-view images makes it possible to generate a reliable depth map by reducing occlusions. Through a set of experiments, we demonstrate that the proposed method generates more reliable depth map from multi-view images than the conventional method. © 2015 IEEE.

关键词： Stereo image processing

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8页 << < 1 2 3 4 5 6 7 8 > >>

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：