检索结果-内蒙古大学图书馆

International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Chun-dong Wang Ting Li Huai-bin Wang Key Laboratory of Computer Vision and System (Tianjin University of Technology) Ministry of Education Tianjin China

With the development of network application technology, there are tremendous viruses and Trojans, especially botnet which has a great harm. It causes a large number of DDoS attacks and spread of spams. And some usual detection ways have their disadvantages. This paper proposes a method to detect zombie hosts based on analysis of initial parameters of the hosts sending mails.

关键词： Postal services Electronic mail computer crime Protocols Network servers Telecommunication traffic Educational technology computer viruses Information filtering Information filters

来源：评论

学校读者我要写书评

暂无评论

Set Nearest Neighbor Query for Trajectory of Moving Objects

Set Nearest Neighbor Query for Trajectory of Moving Objects

引用

International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Yingyuan Xiao Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China

To find similar trajectories of a moving object has been recently an interesting issue in moving object databases due to its diverse application fields (e.g., traffic control systems, meteorology monitoring systems, etc.). In this work, trajectories are first modeled based discrete grid cells. Then, the similarity between trajectories is defined by introducing a new distance function. Furthermore, a novel nearest neighbor query for trajectory of moving objects, i.e. Set Nearest Neighbor (SNN) query is presented, and an efficient shape-based similarity algorithm for SNN is given. The performance study shows the proposed query method is efficient.

关键词： Nearest neighbor searches Databases Educational technology Neural networks Data models Laboratories computer vision Space technology Cities and towns Global Positioning system

来源：评论

学校读者我要写书评

暂无评论

Reasearch on comparison and analysis of the projector calibration

Reasearch on comparison and analysis of the projector calibr...

引用

IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC)

作者： Bingbing Han Shourui Yang Shengyong Chen Key Laboratory of Computer Vision and System of Ministry of Education Tianjin University of Technology Tianjin China

Projectors are widely used in high-precision industrial fields, and the accuracy of projector calibration is the key to achieve system accuracy. Therefore, it is necessary to perform high-precision calibration for the projector. This paper analyzes the pinhole mathematical model and classifies the calibration method of the projector: projector calibration method based on virtual mark points and projector calibration method based on phase-shifting technique. Then the principle and methods of each calibration method are summarized, the experiment is carried out and the calibration results are compared. Finally, the advantages and disadvantages of two calibration methods are analyzed, which has the certain guiding significance in the choice of projector calibration method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Learning with only multiple instance positive bags

Learning with only multiple instance positive bags

引用

2016 International Joint Conference on Neural Networks, IJCNN 2016

作者： Wang, Zhigang Zhao, Zengshun Zhang, Changshui Computer and Communication Engineering School Tianjin University of Technology Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education China College of Electronics Communication and Physics Shandong University of Science and Technology China Automation Department Tsinghua University State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology China

ISBN: (纸本)9781509006199

In traditional multiple instance learning (MIL), both positive and negative bags are required to learn a prediction function. However, a high human cost is needed to know the label of each bag - positive or negative. Only positive bags contain our focus (positive instances) while negative bags consist of noise or background (negative instances). So we do not expect to spend too much to label the negative bags. Contrary to our expectation, nearly all existing MIL methods require enough negative bags besides positive ones. In this paper we propose an algorithm called 'Positive Multiple Instance' (PMI), which learns a classifier given only a set of positive bags. So the annotation of negative bags becomes unnecessary in our method. PMI is constructed based on the assumption that the unknown positive instances in positive bags be similar each other and constitute one compact cluster in feature space and the negative instances locate outside this cluster. The experimental results demonstrate that PMI achieves the performances close to or a little worse than those of the traditional MIL algorithms on benchmark and real data sets. However, the number of training bags in PMI is reduced significantly compared with traditional MIL algorithms. © 2016 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A new watermarking algorithm based on DCT and DWT fusion

A new watermarking algorithm based on DCT and DWT fusion

引用

International Conference on Electrical and Control Engineering, ICECE 2010

作者： Wang, Huai-Bin Yang, Hong-Liang Wang, Chun-Dong Wang, Shao-Ming Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300191 Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China College of Information Sciences Beijing Language and Culture 100083 Beijing China

ISBN: (纸本)9780769540313

In this paper a new blind watermarking algorithm based on DCT (discrete cosine transform) and DWT (discrete wavelet transform) was proposed. In order to enhance the security of watermarking, Arnold transform is carried out on the watermark image. Firstly discrete wavelet transform is carried out on the host image three times. Secondly the low resolution sub-image of DWT (LL3) is divided in to 8*8 blocks and then discrete cosine transform is carried out on the blocks. At last the middle frequency coefficients of the blocks are selected to embed the watermark image. In term of traditional algorithm the experiment results show that the new algorithm keeps the quality of host image well and a high robustness against common attacks such as JPEG compression, additive Gaussian noise, image rotation, image cropping and so on. © 2010 IEEE.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Vector quantization codebook design method for speech recognition based on immune cat swarm optimization algorithm

引用

Journal of Computational Information systems 2014年第18期10卷 7931-7938页

作者： Yang, Shuying Shen, Tingting Liu, Xupeng Qi, Wenjie School of Computer and Communication Engineering Tianjin University of Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin China

In the process of Vector Quantization, the performance of traditional LBG algorithm often relies on the selection of the initial codebook and it easily falls into local optimum. In this paper, Immune Cat Swarm Optimization is proposed to resolve these problems. In the searching group, the clonal expansion operator is used to do local searching to maintain the diversity of solutions. In the tracking group, the individual genes are mutated through extraction and inoculation operator of dynamic vaccine for global search. Then the progeny population is updated by the balance of concentration operator and selection operator. Finally the optimal codebook can be obtained from the training vectors by the proposed algorithm. Put it to the HMM model for training and recognition. The results show that the codebook design based on Immune Cat Swarm Optimization algorithm does not depend on the selection of initial codebook. The algorithm has strong robustness. It can reduce the error rate of speech recognition.

关键词： Speech recognition

来源：评论

学校读者我要写书评

暂无评论

A class of adaptive generalized projective synchronization with unknown parameter periods

引用

Journal of Computational Information systems 2014年第14期10卷 6135-6142页

作者： Yang, Shuying Qi, Wenjie Tao, Chong Shen, Tingting School of Computer and Communication Engineering Tianjin University of Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin China

For a class of adaptive generalized projective synchronization with unknown periods of time-varying parameters, a cycle identification algorithm based on switching logic is proposed in this paper. Firstly, the adaptive controller and the time-varying parameter adaptive law are designed based on known periods of time-varying parameters. Secondly, the reasonable switching logic is designed, then the period range of time-varying parameters is positioned by deciding the average error between two iterations, and periods of time-varying parameters are positioned by the cumulative tracking error. Finally the projective synchronization between two chaotic systems is completed. The asymptotical convergence of the tracking error and the boundedness of all signals can be proved by constructing a Lyapunov-Krasovskii functional. The effectiveness of the proposed algorithm is illustrated by the simulation results. © 2014 by Binary Information Press

关键词： Chaotic systems

来源：评论

学校读者我要写书评

暂无评论

HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion 38

HairDiffusion: Vivid Multi-Colored Hair Editing via Latent D...

引用

38th Conference on Neural Information Processing systems, NeurIPS 2024

作者： Zeng, Yu Zhang, Yang Liu, Jiachen Shen, Linlin Deng, Kaijun He, Weizhao Wang, Jinbao Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China

Hair editing is a critical image synthesis task that aims to edit hair color and hairstyle using text descriptions or reference images, while preserving irrelevant attributes (e.g., identity, background, cloth). Many existing methods are based on StyleGAN to address this task. However, due to the limited spatial distribution of StyleGAN, it struggles with multiple hair color editing and facial preservation. Considering the advancements in diffusion models, we utilize Latent Diffusion Models (LDMs) for hairstyle editing. Our approach introduces Multi-stage Hairstyle Blend (MHB), effectively separating control of hair color and hairstyle in diffusion latent space. Additionally, we train a warping module to align the hair color with the target region. To further enhance multi-color hairstyle editing, we fine-tuned a CLIP model using a multi-color hairstyle dataset. Our method not only tackles the complexity of multi-color hairstyles but also addresses the challenge of preserving original colors during diffusion editing. Extensive experiments showcase the superiority of our method in editing multi-color hairstyles while preserving facial attributes given textual descriptions and reference images. © 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

Low-Speed Injection Attack Detection on CAN Bus 3rd

Low-Speed Injection Attack Detection on CAN Bus

引用

3rd International Conference on Frontiers in Cyber Security, FCS 2020

作者： Wang, Chundong Li, Chuang An, Tongle Cheng, Xiaochun Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Ministry of Education Tianjin University of Technology Tianjin300384 China Department of Computer Science Middlesex University LondonNW4 4BT United Kingdom

ISBN: (纸本)9789811597381

The car CAN (Controller Area Network) bus message injection attacks seriously affects various functions of the safety of cars, life and property. However, low-speed injection attack is detection inconspicuous in a majority of existing researches. This paper proposes a self-contained low-speed injection attacks detection system including whole detection process and principle. This paper first analyzes the feasibility of low-speed injection attacks;then we propose to use LOF (Local Outlier Factor) to detect the injection attack, and compare with the previous detection algorithms. Experimental results show that our algorithm has obvious advantages in detection rate over the previous algorithms. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Rapid disparity prediction for dynamic scenes

Rapid disparity prediction for dynamic scenes

引用

9th International Symposium on Advances in Visual Computing, ISVC 2013

作者： Jiang, Jun Cheng, Jun Chen, Baowen Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Chinese University of Hong Kong Hong Kong Hong Kong Shsenzhen Institute of Information Technology China Guangdong Provincial Key Laboratory of Robotics and Intelligent System China Shenzhen Key Laboratory of Computer Vision and Pattern Recognition China

ISBN: (纸本)9783642419133

Real-time 3D sensing plays a critical role in robotic navigation, video surveillance and human-computer interaction, etc. When computing 3D structures of dynamic scenes from stereo sequences, spatiotemporal stereo and scene flow methods can produce temporally coherent disparity. However, most existing methods do not utilize the previous disparity map sufficiently to compute the next disparity map, and the searching space of correspondences limits the speed of disparity computation for each image pair. This paper proposes an effective scheme to predict disparity maps from stereo sequences. In particular, we apply a robust 3D registration algorithm based on the angular-invariant feature to estimate the ego-motion of the stereo rig between consecutive frames, and present the transformation between consecutive disparity maps. The scheme can produce a sequence of temporally coherent disparity maps rapidly. We apply the new scheme to real outdoor scenes, and thorough empirical studies indicate the effectiveness of the new scheme for practical applications. © 2013 Springer-Verlag.

关键词： Human computer interaction

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：