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

1,579 篇 会议
83 册 图书
16 篇 期刊文献

馆藏范围

1,678 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,040 篇 工学
- 870 篇 计算机科学与技术...
- 465 篇 软件工程
- 226 篇 信息与通信工程
- 185 篇 电气工程
- 100 篇 生物工程
- 98 篇 生物医学工程（可授...
- 84 篇 控制科学与工程
- 63 篇 光学工程
- 35 篇 机械工程
- 34 篇 电子科学与技术（可...
- 24 篇 仪器科学与技术
- 23 篇 化学工程与技术
- 21 篇 建筑学
- 21 篇 土木工程
- 20 篇 材料科学与工程（可...
- 20 篇 安全科学与工程
- 20 篇 网络空间安全
352 篇 理学
- 174 篇 数学
- 114 篇 生物学
- 89 篇 物理学
- 52 篇 统计学（可授理学、...
- 35 篇 系统科学
- 21 篇 化学
173 篇 管理学
- 91 篇 图书情报与档案管...
- 87 篇 管理科学与工程(可...
- 44 篇 工商管理
113 篇 医学
- 91 篇 临床医学
- 61 篇 基础医学(可授医学...
- 34 篇 药学(可授医学、理...
33 篇 法学
- 26 篇 社会学
17 篇 教育学
12 篇 经济学
8 篇 农学
3 篇 军事学
3 篇 艺术学
2 篇 文学

主题

237 篇 pattern recognit...
79 篇 cloud computing
74 篇 artificial intel...
71 篇 training
57 篇 feature extracti...
55 篇 neural networks
52 篇 machine learning
50 篇 deep learning
40 篇 computer archite...
36 篇 data mining
34 篇 computer imaging...
33 篇 pattern matching
33 篇 computer vision
32 篇 semantics
29 篇 image segmentati...
28 篇 computational mo...
28 篇 image recognitio...
28 篇 image processing...
27 篇 information syst...
26 篇 edge computing

机构

15 篇 school of comput...
12 篇 university of ch...
9 篇 school of comput...
8 篇 inria nancy gran...
8 篇 national center ...
8 篇 icube université...
8 篇 fujian key labor...
8 篇 erasmus mc - uni...
8 篇 tencent jarvis l...
8 篇 university of ba...
7 篇 college of intel...
6 篇 univ chinese aca...
6 篇 institute of ima...
6 篇 department of co...
6 篇 the 54th researc...
6 篇 school of artifi...
6 篇 dipartimento di ...
6 篇 dipartimento di ...
6 篇 computational sc...
6 篇 institute of com...

作者

13 篇 tan chew lim
12 篇 wang da-han
11 篇 yang jie
8 篇 stéphane cotin
8 篇 yefeng zheng
8 篇 chew lim tan
8 篇 philippe c. catt...
8 篇 marleen de bruij...
8 篇 stefanie speidel
8 篇 caroline essert
8 篇 nicolas padoy
7 篇 maier andreas
7 篇 yang yang
7 篇 hancock edwin r.
7 篇 rita cucchiara
7 篇 alberto del bimb...
6 篇 hugo jair escala...
6 篇 tao mei
6 篇 lu shijian
6 篇 marco bertini

语言

1,669 篇 英文
7 篇 其他
3 篇 中文

检索条件"任意字段=2021 10th International Conference on Computing and Pattern Recognition"

共 1678 条记录，以下是1521-1530 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 Boundary-aware Distillation Network for Compressed Video Semantic Segmentation

A Boundary-aware Distillation Network for Compressed Video S...

引用

international conference on pattern recognition

作者： Hongchao Lu Zhidong Deng State Key Laboratory of Intelligent Technology and Systems Institute for Artificial Intelligence at Tsinghua University (THUAI) Beijing National Research Center for Information Science and Technology (BNRist) Center for Intelligent Connected Vehicles and Transportation Tsinghua University Beijing China

In recent years optical flow is often estimated to reuse features so as to accelerate video semantic segmentation. With addition of optical flow network, however, extra cost may incur and accuracy may thus be degraded because of repeated warping operation. In this paper, we propose a boundary-aware distillation network (BDNet) that replaces optical flow network with block motion vectors encoded in compressed video, resulting in negligible computational complexity. In order to make salient features, an auxiliary boundary-aware stream is added to the main stream to jointly estimate silhouette and segmentation of objects. To further correct warped features, a well-trained teacher network is employed to transfer knowledge to the main stream. Both boundary-aware stream and the teacher network are neglected during inference stage, so that video segmentation network enables to get faster without increasing any computational burden. By splitting the task into three components, our BDNet shows almost 10% time saving as well as 1.6% accuracy improvement over baseline on the Cityscapes dataset.

关键词： Knowledge engineering Motion segmentation Semantics Streaming media pattern recognition Acceleration Task analysis

来源：评论

学校读者我要写书评

暂无评论

Analysis of Machine Learning Algorithms for Crop Mapping on Satellite Image Data

Analysis of Machine Learning Algorithms for Crop Mapping on ...

引用

international conference on System Modeling & Advancement in Research Trends (SMART)

作者： Vineet Saxena Rakesh Kumar Dwivedi Anil Kumar College of Computing Sciences and Information Technology Teerthanker Mahaveer University Moradabad India College of Computing Sciences and Information Technology Indian Institute of Remote Sensing ISRO

ISBN: (纸本)9781665439718

Crop classification is main area of our planet for understanding the agricultural cover. Studies via satellite imagery are often limited to public data with low revisit rates and/or coarse spatial resolution. However, a recent surge in satellite data from new-aerospace companies provides daily imagery with relatively high spatial resolution. With high revisit rates in satellite image capture enable the incorporation of temporal information into crop classification schemes. With high cadence temporal information just now becoming available, there is plenty of room to explore the data and methods for classification [60].Crop mapping methodology is used for the monitoring of various crop types. these methodology is depend on a large space of satellite imagery and different time series data values which is use in supervised classifiers such as Support Vector Machines (SVMs) and Random Forest (RF)[1]. these classifiers are applied at three unique degrees of crop terminology order and compare the result with accuracy and execution time. SVM gives ideal execution and demonstrates essentially better than RF for the least level of the classification. the significance of information factors such as Near Infrared (NIR), vegetation red-edge, and Short-Wave Infrared (SWIR) multispectral groups, and the Normalized Difference Vegetation (NDVI) and Plant Senescence Reflectance (PSRI) are used during cutting edge crop phenology stages and crop mapping [2].

关键词： Earth Satellites Machine learning algorithms Crops Vegetation mapping Pansharpening Image capture

来源：评论

学校读者我要写书评

暂无评论

Adversarial Knowledge Distillation for a Compact Generator

Adversarial Knowledge Distillation for a Compact Generator

引用

international conference on pattern recognition

作者： Hideki Tsunashima Hirokatsu Kataoka Junji Yamato Qiu Chen Shigeo Morishima National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Japan Waseda University Shinjuku Japan Kogakuin University Shinjuku Japan Waseda Research Institute for Science and Engineering Shinjuku Japan

ISBN: (纸本)9781728188089;9781728188096

In this paper, we propose memory-efficient Generative Adversarial Nets (GANs) in line with knowledge distillation. Most existing GANs have a shortcoming in terms of the number of model parameters and low processing speed. Here, to tackle the problem, we propose Adversarial Knowledge Distillation for Generative models (AKDG) for highly efficient GANs, in terms of unconditional generation. Using AKDG, model size and processing speed are substantively reduced. through an adversarial training exercise with a distillation discriminator, a student generator successfully mimics a teacher generator in fewer model layers and fewer parameters and at a higher processing speed. Moreover, our AKDG is network architecture-agnostic. A Comparison of AKDG-applied models to vanilla models suggests that it achieves closer scores to a teacher generator and more efficient performance than a baseline method with respect to Inception Score (IS) and Frechet Inception Distance (FID). In CIFAR-10 experiments, improving IS/FID 1.17pt/55.19pt and in LSUN bedroom experiments, improving FID 71.1pt in comparison to the conventional distillation method for GANs. Our project page is https://***/AKDG/.

关键词： Training Image resolution MIMICs Generators pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Activation Density Driven Efficient Pruning in Training

Activation Density Driven Efficient Pruning in Training

引用

international conference on pattern recognition

作者： Timothy Foldy-Porto Yeshwanth Venkatesha Priyadarshini Panda Yale University

Neural network pruning with suitable retraining can yield networks with considerably fewer parameters than the original with comparable degrees of accuracy. Typical pruning methods require large, fully trained networks as a starting point from which they perform a time-intensive iterative pruning and retraining procedure to regain the original accuracy. We propose a novel pruning method that prunes a network real-time during training, reducing the overall training time to achieve an efficient compressed network. We introduce an activation density based analysis to identify the optimal relative sizing or compression for each layer of the network. Our method is architecture agnostic, allowing it to be employed on a wide variety of systems. For VGG-19 and ResNet18 on CIFAR-10, CIFAR-100, and TinyImageNet, we obtain exceedingly sparse networks (up to 200 x reduction in parameters and over 60 x reduction in inference compute operations in the best case) with accuracy comparable to the baseline network. By reducing the network size periodically during training, we achieve total training times that are shorter than those of previously proposed pruning methods. Furthermore, training compressed networks at different epochs with our proposed method yields considerable reduction in training compute complexity (1.6 x to 3.2 x lower) at near iso-accuracy as compared to a baseline network trained entirely from scratch.

关键词： Training Neural networks Computer architecture Real-time systems pattern recognition Complexity theory Iterative methods

来源：评论

学校读者我要写书评

暂无评论

An SDN/NFV based Intelligent Fog Architecture for DDoS Defense in Cyber Physical Systems

An SDN/NFV based Intelligent Fog Architecture for DDoS Defen...

引用

international conference on System Modeling & Advancement in Research Trends (SMART)

作者： Manish Snehi Abhinav Bhandari Computer Science and Engineering Punjabi University Patiala Punjab India

ISBN: (纸本)9781665439718

the Internet of things (IoT) has garnered considerable interest in recent years as its technical capabilities have facilitated the creation of a diverse variety of commercial revenue models and services (e.g., medical cyber-physical systems, smart agriculture, Industry 4.0, smart cities, etc.). However, the security gaps in intelligent systems continue to be a significant source of concern. Malevolent attackers employ attacks like distributed denial of service (DDoS) to weaken system availability. To mitigate attack traffic, adopting a modern Software-defined Networked backbone and Network Function Virtualization (NFV) paradigm has proven to be a potential approach. this paper offers a comprehensive examination of the cutting-edge defense solutions driven by contemporary SDN/NFV technologies, highlighting the key limitations and future scope. the paper also presents the multi-dimensional view of the defense architecture by examining the Internet of things (IoT) scenarios, defense strategies, the role of Fog to overcome research gaps, and leveraging SDN/NFV architecture for an intelligent defense solution. Furthermore, the paper examines the profound network backbone and offers the intelligent Machine and Deep learning-based distributed DDoS defense solution deployed in the Fog layer. the article concludes with an evaluation of open issues and research prospects for vulnerability apprehension in Smart systems. Keywords—SDN, Software Defined Network, NFV, Network Functions Virtualization, Cloud, IoT, Fog computing, Distributed Denial of Service, DDoS

关键词： Cloud computing Smart cities Biological system modeling Computer architecture Cyber-physical systems Turning Network function virtualization

来源：评论

学校读者我要写书评

暂无评论

ESACR: An Energy Saving Approach from Cloud Resources for Green Cloud Environment

ESACR: An Energy Saving Approach from Cloud Resources for Gr...

引用

international conference on System Modeling & Advancement in Research Trends (SMART)

作者： Shailesh Saxena Mohammad Zubair Khan Ravendra Singh MJP Rohilkhand University Bareilly India Taibah University Medina KSA

ISBN: (纸本)9781665439718

Cloud is most recognized environment of computing due to the widely availability of its services to the users. Cloud data centers have adopted virtualization of resources technically known as virtual machines (VMs) for the effective and efficient computation of services. But power consumption through the cloud data centers (CDCs) highlighted as one of the major issues responsible to reduce the quality of services of Cloud computing. Because a large number of electronic resources like processing nodes, servers, disk storage, and networking nodes (i.e. switch/routers) in CDC consume a high degree of energy during computation. Energy is also consumed by cooling plants to cool the data centers as it produces a huge amount of heat (CO 2 ) surrounding it. Due to the high energy consumption, the cloud providers pay a high cost of energy computation and it also contributes more carbon emissions to the atmosphere. Reducing energy consumption and CO 2 emission is a major challenge in turning the computation from cloud computing to green computing. So, our main focus in this paper is to develop an energy-saving approach for cloud computing based on resource management. Due to variations in the request of services by the users, the demand for resources also varies during the computation. the amount of users’ request are not always same for all 24 hours in a day. Some period of time it is very low and at that period of time, many resources become idle and consume some fixed amount of energy that is a wastage of energy. In this manner, the proposed ESACR approach first define active (required) and idle (non-required) resources as per the users’ request for services at any instance; after that, it converts the idle resources into an energy-saving mode (i.e., turn OFF) unless it is not required for the service of users’ request. So that the saving of energy will increased, if at any instance all non-useable resources is define in OFF mode.

关键词： Cloud computing Data centers Energy consumption Switches Quality of service Turning Virtual machining

来源：评论

学校读者我要写书评

暂无评论

Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs

Can Reinforcement Learning Lead to Healthy Life?: Simulation...

引用

international conference on pattern recognition

作者： Masami Takahashi Masahiro Kohjima Takeshi Kurashima Hiroyuki Toda NTT Service Evolution Laboratories Yokosuka-shi Kanagawa-ken Japan

the importance of developing an application based on intervention technology that leads to a healthier life is widely recognized. A challenging part of realizing the application is the need for planning, i.e., considering a user's health goal (e.g., sleep at 10:00 p.m. to get enough sleep), providing intervention at the appropriate timing to help the user achieve the goal. the reinforcement learning (RL) approach is well suited to this type of problem since it is a methodology for planning; RL finds the optimal strategy as that which maximizes future expected profit. the purpose of this study is to clarify the effects of intervention based on RL to support healthy daily life. therefore, we (i) collect real daily activity data from participants, (ii) generate a user model that imitates the user's response to system interventions, (iii) examine valuable goals and design them as rewards in RL and (iv) obtain optimal intervention strategies by RL via simulations given a user model and goals. We evaluate a generated user model and verify by simulations whether our method could successfully achieve the goal. In addition, we analyze the cases that demonstrated higher probability of achieving the goal and report the features.

关键词： Reinforcement learning Data models Planning Timing pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Case Study: Effect of Different Unstable Water Injection Modes with Horizontal Row Well pattern in Low Permeability Carbonate Reservoir of Middle East 10th

Case Study: Effect of Different Unstable Water Injection Mod...

引用

10th international Field Exploration and Development conference, IFEDC 2020

作者： Yang, Yang Li, Yong Zhang, Wen-qi Liu, Da-wang Chen, Yi-hang Wang, Yu-ning Gu, Fei Dong, Ruo-jing Department of Middle East E&D Research Institute of Petroleum Exploration and Development Beijing China Department of Oil Field Development Research Institute of Petroleum Exploration and Development Beijing China

ISBN: (纸本)9789811607622

K carbonate reservoir in Middle East is a low permeability reservoir with thief layer. It is developed by waterflooding with a horizontal row well pattern. However, due to the influence of the thief layer, the water breakthrough fast, and the water cut rises to more than 40% shortly. So different unstable water injection modes were applied to improve the supplemental recovery, including cyclic water injection (CWI), alternate water injection (AWI) and alternate water injection and production (AWIP). CWI means a period of water injection and a period of injection stop. the EOR mechanism of CWI is to improve the swept volume of low permeability layer in heterogeneous reservoir by elastic force and capillary force. AWI means two adjacent injectors, one for injection and one for stopping injection, injection and stopping injection alternates with each other periodically. the EOR mechanism of AWI is change the direction of streamline between injector and producer, so as to increase well spacing and improve the swept volume. Based on AWI, AWIP adjust producers, that means two adjacent producers, one for high fluid rate and one for low fluid rate, high fluid rate and low fluid rate alternates with each other periodically. And when the producer is producing with high fluid rate, the opposite injector has low water injection or stops injection, vice versa. the numerical simulation results show that all unstable water injection modes can effectively reduce the water cut rise speed and improve the recovery. Among them, alternate water injection and production (AWIP) has the best effect. the implementation results of four pilot areas also verify it. © 2021, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Horizontal wells

来源：评论

学校读者我要写书评

暂无评论

Fast Subspace Clustering Based on the Kronecker Product

Fast Subspace Clustering Based on the Kronecker Product

引用

international conference on pattern recognition

作者： Lei Zhou Xiao Bai Liang Zhang Jun Zhou Edwin Hancock School of Computer Science and Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Jiangxi Research Institute Beihang University Beijing China School of Information and Communication Technology Griffith University Nathan Australia University of York York U.K.

Subspace clustering is a useful technique for many computer vision applications in which the intrinsic dimension of high-dimensional data is often smaller than the ambient dimension. Spectral clustering, as one of the main approaches to subspace clustering, often takes on a sparse representation or a low-rank representation to learn a block diagonal self-representation matrix for subspace generation. However, existing methods require solving a large scale convex optimization problem with a large set of data, with computational complexity reaches O(N³) for N data points. therefore, the efficiency and scalability of traditional spectral clustering methods can not be guaranteed for large scale datasets. In this paper, we propose a subspace clustering model based on the Kronecker product. Due to the property that the Kronecker product of a block diagonal matrix with any other matrix is still a block diagonal matrix, we can efficiently learn the representation matrix which is formed by the Kronecker product of k smaller matrices. By doing so, our model significantly reduces the computational complexity to O(kN³/^k). Furthermore, our model is general in nature, and can be adapted to different regularization based subspace clustering methods. Experimental results on two public datasets show that our model significantly improves the efficiency compared with several state-of-the-art methods. Moreover, we have conducted experiments on synthetic data to verify the scalability of our model for large scale datasets.

关键词： Adaptation models Computational modeling Scalability Clustering methods Face recognition Memory management Data models

来源：评论

学校读者我要写书评

暂无评论

Me in the Wild: An Exploratory Study Using Smartphones to Detect the Onset of Depression 10th

Me in the Wild: An Exploratory Study Using Smartphones to...

引用

10th EAI international conference on Wireless Mobile Communication and Healthcare, MobiHealth 2021

作者： Opoku Asare, Kennedy Visuri, Aku Vega, Julio Ferreira, Denzil Center for Ubiquitous Computing University of Oulu Oulu Finland Department of Medicine University of Pittsburgh PittsburghPA United States

ISBN: (纸本)9783031063671

Research on mobile sensing for mental health monitoring has traditionally explored the correlation between smartphone and wearable data with self-reported mental health symptom severity assessments. the effectiveness of predictive techniques to monitor depression is limited, given the idiosyncratic nature of depression symptoms and the limited availability of objectively labelled depression sensor-driven behaviour. In this paper, we investigate the possibility of using unsupervised anomaly detection methods to monitor the fluctuations of mental health and its severity. Informed by literature, we created a mobile application that collects acknowledged data streams that can be indicative of depression. We recruited 11 participants for a 1-month field study. More specifically, we monitored participants’ mobility, overall smartphone interactions, and surrounding ambient noise. the participants provided three self-reports: Big five personality traits, sleep and depression. Our results suggest that digital markers, combined with anomaly detection methods are useful to flag changes in human behaviour over time;thus, enabling mobile just-in-time interventions for in-the-wild assistance. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Anomaly detection

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168页 << < 149 150 151 152 153 154 155 156 157 158 > >>

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：