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

2,050 篇 期刊文献
1,291 篇 会议
3 册 图书

馆藏范围

3,344 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,208 篇 工学
- 1,188 篇 计算机科学与技术...
- 979 篇 软件工程
- 321 篇 信息与通信工程
- 301 篇 电子科学与技术（可...
- 300 篇 电气工程
- 255 篇 控制科学与工程
- 215 篇 生物工程
- 213 篇 化学工程与技术
- 194 篇 材料科学与工程（可...
- 165 篇 光学工程
- 140 篇 机械工程
- 135 篇 生物医学工程（可授...
- 107 篇 力学（可授工学、理...
- 98 篇 网络空间安全
- 94 篇 仪器科学与技术
- 93 篇 动力工程及工程热...
- 76 篇 核科学与技术
- 60 篇 交通运输工程
1,742 篇 理学
- 844 篇 物理学
- 771 篇 数学
- 243 篇 生物学
- 237 篇 统计学（可授理学、...
- 223 篇 化学
- 142 篇 系统科学
- 92 篇 地球物理学
385 篇 管理学
- 238 篇 管理科学与工程(可...
- 155 篇 图书情报与档案管...
- 67 篇 工商管理
93 篇 医学
- 75 篇 临床医学
- 64 篇 基础医学(可授医学...
54 篇 法学
28 篇 经济学
23 篇 农学
18 篇 军事学
15 篇 教育学
6 篇 文学
3 篇 艺术学

主题

67 篇 feature extracti...
56 篇 deep learning
56 篇 semantics
50 篇 training
48 篇 machine learning
29 篇 cosmic rays
29 篇 network security
28 篇 security
28 篇 cryptography
26 篇 neural networks
25 篇 computational mo...
23 篇 software
21 篇 conferences
21 篇 optimization
21 篇 data models
20 篇 data mining
20 篇 algorithm design...
20 篇 malware
20 篇 forecasting
20 篇 gamma rays

机构

616 篇 state key labora...
165 篇 school of comput...
125 篇 key laboratory o...
118 篇 university of ch...
110 篇 university of sc...
99 篇 tianfu cosmic ra...
99 篇 hebei normal uni...
98 篇 state key labora...
93 篇 yunnan observato...
88 篇 school of physic...
87 篇 department of ph...
82 篇 key laboratory f...
82 篇 center for astro...
80 篇 college of physi...
78 篇 institute of fro...
78 篇 school of physic...
77 篇 school of physic...
73 篇 national space s...
70 篇 moscow institute...
67 篇 national astrono...

作者

80 篇 axikegu
79 篇 zheng wei-shi
78 篇 fang j.
78 篇 feng c.f.
75 篇 jiang k.
74 篇 bastieri d.
69 篇 kuleshov d.
68 篇 liu d.
67 篇 chen m.j.
67 篇 liu s.m.
67 篇 huang d.h.
67 篇 dai h.l.
66 篇 guo y.q.
66 篇 liu b.
66 篇 danzengluobu
65 篇 bao y.w.
64 篇 li cheng
64 篇 li xin
64 篇 hu h.b.
62 篇 liu h.d.

语言

2,908 篇 英文
374 篇 其他
70 篇 中文
1 篇 德文
1 篇 法文

检索条件"机构=Key Laboratory of Mathematical Engineering and Advanced Computing"

共 3344 条记录，以下是401-410 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：

Breaking Limitation of Convergence in Continuous Optimization: Predefined-Time Gradient Flows 63

Breaking Limitation of Convergence in Continuous Optimizatio...

引用

63rd IEEE Conference on Decision and Control, CDC 2024

作者： Zhang, Renyongkang Guo, Ge Gao, Zhenyu Yu, Miao Zhang, Lu Wang, Zhengsong Han, Meng Yin, Yanyan Northeastern University College of Information Science and Engineering Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Northeastern University at Qinhuangdao School of Control Engineering Qinhuangdao066004 China Curtin University School of Electrical Engineering Computing and Mathematical Sciences PerthWA6102 Australia

ISBN: (纸本)9798350316339

This paper investigates the continuous-time unconstrained optimization via dynamical gradient flow systems. For strongly convex objective functions, a gradient flow with predefined time convergence is proposed, which is suitable for relaxing the objective function to only satisfy the PolyakLojasiewicz (P-L) condition. A predefined-time convergent Newton's flow is designed for the minimization of strictly convex functions. The proposed result is extended for strongly convex objective functions with time-varying parameters. In our schemes, the upper bound of convergence time can be used as a prior choice without involving system initialization and complex parameter calculations. The convergence of algorithms is rigorously proved by using the Lyapunov method. Numerical simulation illustrates the effectiveness of the proposed methods. © 2024 IEEE.

关键词： Lyapunov methods

来源：评论

学校读者我要写书评

暂无评论

Research on PCB tiny displacement estimation method for ORB feature-guided FREAK descriptor enhancement 4

Research on PCB tiny displacement estimation method for ORB ...

引用

2024 4th International Conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2024

作者： Yang, Duo Su, Yang Wu, Hongwei Yi, Pengfei Key Laboratory for Advanced Design and Intelligent Computing Ministry of Education School of Mechanical Engineering and Software Engineering Dalian University Dalian116622 China Olympic Circuit Technology Co. Ltd. Guangdong Jiangmen529700 China Co. Ltd. Dalian116622 China

Given the hurdles posed by existing techniques for identifying microscopic offsets in miniature printed circuit boards (PCBs), including their low accuracy and high iteration count, this study presents an innovative approach that measures micrometer offsets by utilizing the ORB feature-guided FREAK descriptor enhancement. It improves matching outcomes with a brute-force matcher and RANSAC via ORB feature extraction to guide FREAK descriptors for better feature uniqueness. A PCB small offset detection algorithm is developed with a homography matrix and a theoretical offset model. A novel distance threshold performance evaluation method for this suggested matching algorithm that objectively evaluates matching results is also proposed in this article. The proposed matching method outperforms alternative algorithms in precision and recall, according to its experiments. This research conducts simulation detection of PCB calibration bare boards and instance verification of real PCB boards by constructing a PCB tiny offset detection experimental system. The results show that micron-level detection precision can be achieved without iteration. © Published under licence by IOP Publishing Ltd.

关键词： engineering education

来源：评论

学校读者我要写书评

暂无评论

An Active Visual Perception Methodology for the Safety of Human-Robot Collaborations

An Active Visual Perception Methodology for the Safety of Hu...

引用

IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Siyuan Cheng Pengfei Yi Mengmeng Chen Jing Dong Rui Liu Ling Wang Key Laboratory of Advanced Design and Intelligent Computing (Ministry of Education) School of Software Engineering Dalian University Dalian China

ISBN: (数字)9798350350920

ISBN: (纸本)9798350350937

In industrial settings with multiple robotic arms, ensuring human-robot interaction safety through visual feedback is essential. However, existing methods use multiple pre-set cameras to avoid occlusion, making implementation challenging in compact spaces. We propose an adaptive active visual perception method for safety in human-robot collaboration by equipping a single RGBD camera on an idle robotic arm. This method eliminates the need to add additional brackets, is low cost, and is suitable for compact environments compared to current methods. Firstly, to capture comprehensive and accurate global information as much as possible, an active visual perception strategy integrating static visual perception and proprioceptive pose optimization is designed; then, an optimization-based robot position and pose decision method is proposed by using the real-time robots state and obstacles state, which enables the camera at the end of the robot to acquire more effective views; finally, a dual-robot following strategy is proposed to ensure that it can work in tandem. The validity was proved by experimentation. The video are available at https://***/03lwb.

关键词： Visualization Service robots Robot vision systems Human-robot interaction Streaming media Cameras Manipulators

来源：评论

学校读者我要写书评

暂无评论

SC-LSTM Based Human Action Recognition

SC-LSTM Based Human Action Recognition

引用

IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Naixin Kang Pengfei Yi Qingshu Geng Jing Dong Rui Liu Ling Wang Key Laboratory of Advanced Design and Intelligent Computing (Ministry of Education) School of Software Engineering Dalian University Dalian China

ISBN: (数字)9798350350920

ISBN: (纸本)9798350350937

Human Action Recognition is one of the most applied research directions in the field of Computer Vision, which is widely used in human-computer interaction, Augmented Reality (AR) technology, security monitoring, and other scenarios. However, due to the complexity of human action gestures, existing Human Action Recognition methods have certain deficiencies in dealing with variable human gestures and action information, and the accuracy needs to be improved. To improve the accuracy, We propose a multi-dimensional network model based on SC-LSTM(Skip-Connection + LSTM). First, a Temporal Feature Extraction Module is designed based on SC-LSTM, and a Spatial Feature Extraction Module is designed based on CNN and Multi-Attention Mechanism to extract potential human action features from both temporal and spatial dimensions, respectively. Then, a separate SC-LSTM classification network is utilized to process these spatio-temporal features to obtain the final HAR results. The experimental results show that compared to other algorithms, the present model can more fully utilize the information in the temporal dimension, and thus performs better in terms of HAR accuracy.

关键词： Human computer interaction Computer vision Accuracy Image recognition Feature extraction Complexity theory Human activity recognition

来源：评论

学校读者我要写书评

暂无评论

STk: A Scalable Module for Solving Top-k Problems 38

STk: A Scalable Module for Solving Top-k Problems

引用

38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Xia, Hanchen Liu, Weidong Mao, Xiaojun School of Mathematical Sciences Shanghai Jiao Tong University Shanghai China Ministry of Education Key Lab of Artificial Intelligence Shanghai Jiao Tong University Shanghai China Ministry of Education Key Laboratory of Scientific and Engineering Computing Shanghai Jiao Tong University Shanghai China RoyalFlush AI Research Institute Hangzhou China

The cost of ranking becomes significant in the new stage of deep learning. We propose STk, a fully differentiable module with a single trainable parameter, designed to solve the Top-k problem without requiring additional time or GPU memory. Due to its fully differentiable nature, STk can be embedded end-to-end into neural networks and optimize the Top-k problems within a unified computational graph. We apply STk to the Average Top-k Loss (ATk), which inherently faces a Top-k problem. The proposed STk Loss outperforms ATk Loss and achieves the best average performance on multiple benchmarks, with the lowest standard deviation. With the assistance of STk Loss, we surpass the state-of-the-art (SOTA) on both CIFAR-100-LT and Places-LT leaderboards. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive Neural Tracking Control for Nonlinear Servo System with Unknown Time-Varying Parameters and Uncertainties 42

Adaptive Neural Tracking Control for Nonlinear Servo System ...

引用

42nd Chinese Control Conference, CCC 2023

作者： Zhang, Faxiang Gao, Guanbin Na, Jing Wu, Jiande Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming650500 China Yunnan University Yunnan Key Laboratory of Intelligent Systems and Computing Kunming650500 China

ISBN: (纸本)9789887581543

This paper solves the neural network (NN) tracking control problem for uncertain nonlinear servo system with time-varying parameters and uncertainties. To address the uncertain nonlinear function with unknown time-varying parameters (i.e., unknown nonlinear spatiotemporal function), the time-varying parameter extraction method is used to separate the time-varying parameters from uncertain nonlinear spatiotemporal function, which yields an unknown state-based boundary function. By the tools of NN and adaptive technology, an adaptive neural tracking controller is designed, which guarantees the uniformly ultimately bounded (UUB) performance of the resulting closed-loop system. The effectiveness of the designed method is verified by simulations. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Servomechanisms

来源：评论

学校读者我要写书评

暂无评论

Learning to Mitigate Extreme Distribution Bias for Few-Shot Object Detection

Learning to Mitigate Extreme Distribution Bias for Few-Shot ...

引用

2022 IEEE International Conference on Multimedia and Expo, ICME 2022

作者： Wu, Faming Hu, Yanxu Wang, Jinpeng Ma, Andy J. School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

Few-shot object detection is an important but challenging task where only a few instances of novel categories are available. The widely used approach is to pretrain a detector on base classes with abundant samples and then fine-tune it for novel classes. Due to the extreme data imbalance between base and novel classes, the detection performance of novel classes degrades with the distribution bias. To overcome this limitation, we propose a distribution calibration strategy and a class discrimination regularization method for better few-shot detection. Based on theoretical analysis on decision margins of base and novel classes, the decision area of novel classes is enlarged to balance the prediction probability. On the other hand, to increase the separability of inter-class distributions, the similarity between class-specific representations is minimized. Extensive experiments on PASCAL VOC and MS COCO datasets verify the effectiveness and generalization ability of our method to improve few-shot object detection. © 2022 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

引用

2020 International Conference on Computer Vision, Image and Deep Learning, CVIDL 2020

作者： Sun, Wenjie Shan, Zheng Liu, Fudong Qiao, Meng Gui, Hairen Li, Xingwei State Key Laboratory of Mathematical Engineering and Advanced Computing China

ISBN: (数字)9781728194813

ISBN: (纸本)9781728194813

Graph matching has a wide range of applications. However, graph matching faces two challenges: high computational complexity and loss information of graph embedded. In order to solve these two problems and correctly identify the similarity between two function control flow graphs, we propose a binary function similarity comparison method based on Graph Mover's Distance. The model takes two graphs as input, and first learns the spatial structure of the nodes in the graph based on the graph attention neural network to form the node embedding. Then we use the sum of the distance between the two sets of node embeddings to represent the distance between the graphs as the graph similarity index. We conduct experiments on the control flow graph of the program and prove the effectiveness of the method. © 2020 IEEE.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

Region-Interactive Proposal Network and Class-Interactive Feature Learning for Few-Shot Object Detection

Region-Interactive Proposal Network and Class-Interactive Fe...

引用

2022 IEEE International Conference on Multimedia and Expo, ICME 2022

作者： Hu, Yanxu Wu, Faming Wang, Jinpeng Ma, Andy J. School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

Few-shot object detection is a promising approach to solving the problem of detecting novel objects with only limited annotated data for training. Most existing methods are developed based on the progress in few-shot classification, which pay little attention to improving the localization module and modelling class interrelation. To address these issues, this paper proposes two novel modules, namely Region-interactive Proposal Network (Ri-PN) and Class-interactive Feature Learning (Ci-FL), for better localization and classification performance, respectively. In the Ri-PN, regions of novel classes are interacted with base classes via graph convolution instead of background due to the stronger relevance between base and novel classes together with the guidance of supervised regions loss. On the other hand, the Ci-FL refines class-specific features in prototypical learning by attentive graph convolutional network. Experimental results on PASCAL VOC and MS COCO datasets verify the superiority of our method for few-shot object detection. © 2022 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Labrador: Response Guided Directed Fuzzing for Black-box IoT Devices

Labrador: Response Guided Directed Fuzzing for Black-box IoT...

引用

IEEE Symposium on Security and Privacy

作者： Hangtian Liu Shuitao Gan Chao Zhang Zicong Gao Hongqi Zhang Xiangzhi Wang Guangming Gao Information Engineering University Tsinghua University Laboratory for Advanced Computing and Intelligence Engineering Zhongguancun Laboratory Henan Key Laboratory of Information Security University of Electronic Science and Technology of China

ISBN: (数字)9798350331301

ISBN: (纸本)9798350331318

Fuzzing is a popular solution to finding vulnerabilities in software including IoT firmware. However, due to the challenges of emulating or rehosting firmware, some IoT devices (e.g., enterprise-level devices) can only be fuzzed in a black-box manner, which makes fuzzers blind and inefficient due to missing feedbacks (e.g., code coverage or distance). In this paper, we present a novel response guided directed fuzzing solution Labrador, able to test black-box IoT devices efficiently. Specifically, we leverage the network response to infer the execution trace of firmware and deduce the code coverage of testing. Second, we leverage the test case (i.e., request) and its response to estimate the distance to the target sensitive code (i.e., sink). Lastly, we further leverage the distance to guide test case mutation, which efficiently drives directed fuzzing toward candidate vulnerable code. We have implemented a prototype of Labrador and evaluated it on 14 different enterprise-level IoT devices. Results showed that Labrador significantly outperforms state-of-the-art (SOTA) solutions. It finds 44X more vulnerabilities than SNIPUZZ, BOOFUZZ and FIRM-AFL and 8.57X more vulnerabilities than SaTC. In total, it discovered 79 unknown vulnerabilities, of which 61 were assigned with CVEs.

关键词： Privacy Codes Closed box Prototypes Fuzzing Drives Internet of Things

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335页 << < 37 38 39 40 41 42 43 44 45 46 > >>

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：