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

1,929 篇 会议
241 册 图书
24 篇 期刊文献

馆藏范围

2,193 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,607 篇 工学
- 1,334 篇 计算机科学与技术...
- 467 篇 软件工程
- 250 篇 电气工程
- 235 篇 机械工程
- 186 篇 光学工程
- 179 篇 信息与通信工程
- 119 篇 控制科学与工程
- 96 篇 生物工程
- 62 篇 生物医学工程（可授...
- 42 篇 仪器科学与技术
- 39 篇 电子科学与技术（可...
- 30 篇 化学工程与技术
- 21 篇 安全科学与工程
- 18 篇 材料科学与工程（可...
- 15 篇 交通运输工程
- 13 篇 建筑学
444 篇 理学
- 257 篇 物理学
- 202 篇 数学
- 110 篇 生物学
- 57 篇 统计学（可授理学、...
- 22 篇 化学
228 篇 医学
- 200 篇 临床医学
- 26 篇 基础医学(可授医学...
- 22 篇 特种医学
137 篇 管理学
- 83 篇 图书情报与档案管...
- 60 篇 管理科学与工程(可...
- 19 篇 工商管理
27 篇 艺术学
- 27 篇 设计学（可授艺术学...
16 篇 农学
- 15 篇 作物学
15 篇 法学
- 13 篇 社会学
9 篇 教育学
7 篇 经济学
5 篇 文学
5 篇 军事学

主题

321 篇 computer vision
286 篇 pattern recognit...
166 篇 artificial intel...
122 篇 computer imaging...
119 篇 feature extracti...
101 篇 image processing...
82 篇 face recognition
68 篇 training
61 篇 object detection
60 篇 image segmentati...
57 篇 computer applica...
55 篇 deep learning
51 篇 robustness
47 篇 computer graphic...
46 篇 cameras
45 篇 visualization
43 篇 semantics
38 篇 machine learning
38 篇 object recogniti...
37 篇 shape

机构

89 篇 univ chinese aca...
67 篇 chinese acad sci...
60 篇 national laborat...
56 篇 chinese acad sci...
50 篇 univ chinese aca...
36 篇 chinese univ hon...
36 篇 university of ch...
31 篇 institute of aut...
27 篇 chinese acad sci...
26 篇 school of artifi...
23 篇 univ sci & techn...
22 篇 chinese academy ...
18 篇 chinese acad sci...
17 篇 chinese univ hon...
16 篇 chinese acad sci...
16 篇 univ chinese aca...
15 篇 national laborat...
15 篇 computer vision ...
14 篇 tsinghua univers...
14 篇 department of in...

作者

32 篇 wang xiaogang
29 篇 lu hanqing
28 篇 tan tieniu
28 篇 wang jinqiao
23 篇 li stan z.
22 篇 pal umapada
21 篇 huang kaiqi
21 篇 lei zhen
21 篇 qiao yu
19 篇 tieniu tan
19 篇 hu weiming
18 篇 tang xiaoou
17 篇 xilin chen
15 篇 wang liang
15 篇 chen xilin
15 篇 cheng jian
14 篇 liu jing
14 篇 tang ming
13 篇 xiaoou tang
13 篇 shiguang shan

语言

2,163 篇 英文
19 篇 中文
17 篇 其他
1 篇 土耳其文

检索条件"任意字段=7th Chinese Conference on Pattern Recognition and Computer Vision"

共 2194 条记录，以下是1151-1160 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：

Fast single image dehazing through Edge-Guided Interpolated Filter

Fast single image dehazing through Edge-Guided Interpolated ...

引用

IAPR International conference on Machine vision Applications (MVA)

作者： Ximei Zhu Ying Li Yu Qiao Shenzhen Key lab of Computer Vision Pattern Recognition The Chinese University of Hong Kong Hong Kong SAR

ISBN: (纸本)9781479982479

Images and videos taken in foggy weather often suffer from low visibility. Recent studies demonstrate the effectiveness of dark channel prior [3] and guided filter [4] based approaches for image dehazing. However, these methods require high computational cost which makes them infeasible for realtime and embedding systems. In this paper, we propose Edge-Guided Interpolated Filter (EGIF) for fast image and video dehazing. the main contributions are twofold. Firstly, we develop Guided Interpolated Filter (GIF) to significantly speed up the estimation of transmission map, which is the most computational cost step in previous methods. Secondly, we utilize edge map as guidance image in GIF to enhance the fine details in dehazed images. Experimental results show that GIF can largely improve the computational efficiency and achieve comparable dehazing performance as previous guided filter based methods. EGIF can further enhance the sharpness of transmission map. Our method can achieve real-time processing for image of size 1024 × 768 with single CPU core (2GHz).

关键词： Image edge detection Interpolation Videos Real-time systems Image restoration computer vision Atmosphere

来源：评论

学校读者我要写书评

暂无评论

Internet-Based Anti-Counterfeiting pattern with Using Big Data in China

Internet-Based Anti-Counterfeiting Pattern with Using Big Da...

引用

IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Hongyu Liang Keke Gai School of Finance Guangdong University of Finance & Economics Guangzhou China Department of Computer Science Pace University New York NY USA

ISBN: (纸本)9781479989386

Cloud-based trading platforms have become a broadly accepted business approach in China. Flexible and scalable online services have brought enormous benefits for e-commerce. However, many cloud-based e-commerce providers are encountering a serious challenge from counterfeits, which is already harmful for many chinese e-commerce companies. this paper addresses anti-counterfeit issues and proposes a novel mechanism for proactively prevent counterfeits in the chinese context. the proposed paradigm also considers the cost-benefit and profit-maximizations. the model was evaluated by the case study research with examining various use cases. Four use cases are represented in this paper and the outcomes of the use cases proved the efficiency of the proposed model.

关键词： Business Mathematical model Economics Counterfeiting Authentication Big data Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Range-Sample Depth Feature for Action recognition 27

Range-Sample Depth Feature for Action Recognition

引用

27th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Lu, Cewu Jia, Jiaya Tang, Chi-Keung Hong Kong Univ Sci & Technol Hong Kong Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781479951178

We propose binary range-sample feature in depth. It is based on t tests and achieves reasonable invariance with respect to possible change in scale, viewpoint, and background. It is robust to occlusion and data corruption as well. the descriptor works in a high speed thanks to its binary property. Working together with standard learning algorithms, the proposed descriptor achieves state-of-the-art results on benchmark datasets in our experiments. Impressively short running time is also yielded.

关键词： Action recognition Binary Feature Depth Sampling

来源：评论

学校读者我要写书评

暂无评论

kNN Hashing with Factorized Neighborhood Representation

kNN Hashing with Factorized Neighborhood Representation

引用

IEEE International conference on computer vision

作者： Kun Ding Chunlei Huo Bin Fan Chunhong Pan National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467383929

Hashing is very effective for many tasks in reducing the processing time and in compressing massive databases. Although lots of approaches have been developed to learn data-dependent hash functions in recent years, how to learn hash functions to yield good performance with acceptable computational and memory cost is still a challenging problem. Based on the observation that retrieval precision is highly related to the kNN classification accuracy, this paper proposes a novel kNN-based supervised hashing method, which learns hash functions by directly maximizing the kNN accuracy of the Hamming-embedded training data. To make it scalable well to large problem, we propose a factorized neighborhood representation to parsimoniously model the neighborhood relationships inherent in training data. Considering that real-world data are often linearly inseparable, we further kernelize this basic model to improve its performance. As a result, the proposed method is able to learn accurate hashing functions with tolerable computation and storage cost. Experiments on four benchmarks demonstrate that our method outperforms the state-of-the-arts.

关键词： hashing Retrieval precision processing time Neighborhood basic model Training data Arts cryptography hashing method

来源：评论

学校读者我要写书评

暂无评论

Learning Important Spatial Pooling Regions for Scene Classification 27

Learning Important Spatial Pooling Regions for Scene Classif...

引用

27th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Lin, Di Lu, Cewu Liao, Renjie Jia, Jiaya Chinese Univ Hong Kong Hong Kong Hong Kong Peoples R China Hong Kong Univ Sci & Technol Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781479951178

We address the false response influence problem when learning and applying discriminative parts to construct the mid-level representation in scene classification. It is often caused by the complexity of latent image structure when convolving part filters with input images. this problem makes mid-level representation, even after pooling, not distinct enough to classify input data correctly to categories. Our solution is to learn important spatial pooling regions along with their appearance. the experiments show that this new framework suppresses false response and produces improved results on several datasets, including MIT-Indoor, 15-Scene, and UIUC 8-Sport. When combined with global image features, our method achieves state-of-the-art performance on these datasets.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Fast Convolution Operations on Many-Core Architectures

Fast Convolution Operations on Many-Core Architectures

引用

IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Shigang Li Yunquan Zhang Chunyang Xiang Lei Shi State Key Laboratory of Computer Architecture Chinese Academy of Sciences Beijing China School of Information Engineering Zhengzhou University Zhengzhou China

ISBN: (纸本)9781479989386

Convolution operations have been widely used in many important application domains, such as deep learning and computer vision, in which convolution is always the most time-consuming part. High computational throughput and memory bandwidth make many-core architectures the promising targets to accelerate these applications. In this paper, we implement and optimize different convolution operations, including 1D convolution, 2D convolution and multi-channel 2D convolution executed in mini-batch mode, on both GPU and Intel MIC many-core architectures. We find out that the performance bottleneck of 1D and 2D convolutions is on registers rather than local memory or L1/L2 cache, and therefore, register tiling is used to improve the performance. In addition, we present a novel solution for multi-channel 2D convolution, in which convolution is conducted on images directly instead of being translated to matrix multiplication, and the data reuse of the algorithm is fully exploited. We further summarize the parameters of autotuning for multichannel 2D convolution and prune the search space based on heuristics. the experimental results show that, for the large filter size, our solution gets up to 33% performance improvement over cuDNN-v2 and up to 28% over clBLASbased implementation, on GTX TITAN and AMD W8000 respectively. On Intel MIC, our solution gets up to 25% of the theoretical peak performance.

关键词： Convolution Instruction sets Registers computer architecture Microwave integrated circuits Filtering algorithms Neural networks

来源：评论

学校读者我要写书评

暂无评论

Surface-from-Gradients: An Approach Based on Discrete Geometry Processing 27

Surface-from-Gradients: An Approach Based on Discrete Geomet...

引用

27th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Xie, Wuyuan Zhang, Yunbo Wang, Charlie C. L. Chung, Ronald C. -K. Chinese Univ Hong Kong Dept Mech & Automat Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781479951178

In this paper, we propose an efficient method to reconstruct surface-from-gradients (SfG). Our method is formulated under the framework of discrete geometry processing. Unlike the existing SfG approaches, we transfer the continuous reconstruction problem into a discrete space and efficiently solve the problem via a sequence of least-square optimization steps. Our discrete formulation brings three advantages: 1) the reconstruction preserves sharp-features, 2) sparse/incomplete set of gradients can be well handled, and 3) domains of computation can have irregular boundaries. Our formulation is direct and easy to implement, and the comparisons with state-of-the-arts show the effectiveness of our method.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Edge-aware Gradient Domain Optimization Framework for Image Filtering by Local Propagation 27

Edge-aware Gradient Domain Optimization Framework for Image ...

引用

27th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Hua, Miao Bie, Xiaohui Zhang, Minying Wang, Wencheng Chinese Acad Sci Inst Software State Key Lab Comp Sci Beijing 100864 Peoples R China Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9781479951178

Gradient domain methods are popular for image processing. However, these methods even the edge-preserving ones cannot preserve edges well in some cases. In this paper, we present new constraints explicitly to better preserve edges for general gradient domain image filtering and theoretically analyse why these constraints are edge-aware. Our edge-aware constraints are easy to implement, fast to compute and can be seamlessly integrated into the general gradient domain optimization framework. the improved framework can better preserve edges while maintaining similar image filtering effects as the original image filters. We also demonstrate the strength of our edge-aware constraints on various applications such as image smoothing, image colorization and Poisson image cloning.

关键词： edge-aware edit propagation image filtering

来源：评论

学校读者我要写书评

暂无评论

Multi-View Super Vector for Action recognition 27

Multi-View Super Vector for Action Recognition

引用

27th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Cai, Zhuowei Wang, Limin Peng, Xiaojiang Qiao, Yu Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Key Lab Comp Vis & Pattern Recognit Beijing Peoples R China Chinese Univ Hong Kong Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781479951178

Images and videos are often characterized by multiple types of local descriptors such as SIFT, HOG and HOF, each of which describes certain aspects of object feature. recognition systems benefit from fusing multiple types of these descriptors. Two widely applied fusion pipelines are descriptor concatenation and kernel average. the first one is effective when different descriptors are strongly correlated, while the second one is probably better when descriptors are relatively independent. In practice, however, different descriptors are neither fully independent nor fully correlated, and previous fusion methods may not be satisfying. In this paper, we propose a new global representation, Multi-View Super Vector (MVSV), which is composed of relatively independent components derived from a pair of descriptors. Kernel average is then applied on these components to produce recognition result. To obtain MVSV, we develop a generative mixture model of probabilistic canonical correlation analyzers (M-PCCA), and utilize the hidden factors and gradient vectors of M-PCCA to construct MVSV for video representation. Experiments on video based action recognition tasks show that MVSV achieves promising results, and outperforms FV and VLAD with descriptor concatenation or kernel average fusion strategy.

关键词： action recognition canonical correlation analysis mixture model multi-view

来源：评论

学校读者我要写书评

暂无评论

Two-Class Weather Classification 27

Two-Class Weather Classification

引用

27th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Lu, Cewu Lin, Di Jia, Jiaya Tang, Chi-Keung Hong Kong Univ Sci & Technol Hong Kong Hong Kong Peoples R China Chinese Univ Hong Kong Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781479951178

Given a single outdoor image, this paper proposes a collaborative learning approach for labeling it as either sunny or cloudy. Never adequately addressed, this two-class classification problem is by no means trivial given the great variety of outdoor images. Our weather feature combines special cues after properly encoding them into feature vectors. they then work collaboratively in synergy under a unified optimization framework that is aware of the presence (or absence) of a given weather cue during learning and classification. Extensive experiments and comparisons are performed to verify our method. We build a new weather image dataset consisting of 10K sunny and cloudy images, which is available online together with the executable.

关键词： Classification Feature Scene Weather

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220页 << < 112 113 114 115 116 117 118 119 120 121 > >>

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：