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Hybrid Bayesian estimation tree learning with discrete and fuzzy lab.ls

Frontiers of Computer Science 2013年第6期7卷 852-863页

作者： Zengchang QIN Tao WAN Intelligent Computing and Machine Learning Lab School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China School of Biological Science and Medical Engineering Beihang University Beijing 100191 China Department of Biomedical Engineering Case Western Reserve University Cleveland OH 44106 USA

Classical decision tree model is one of the classical machine learning models for its simplicity and effectiveness in applications. However, compared to the DT model, probability estimation trees （PETs） give a better estimation on class probability. In order to get a good probability estimation, we usually need large trees which are not desirable with respect to model transparency. Linguistic decision tree （LDT） is a PET model based on lab.l semantics. Fuzzy lab.ls are used for building the tree and each branch is associated with a probability distribution over classes. If there is no overlap between neighboring fuzzy lab.ls, these fuzzy lab.ls then become discrete lab.ls and a LDT with discrete lab.ls becomes a special case of the PET model. In this paper, two hybrid models by combining the naive Bayes classifier and PETs are proposed in order to build a model with good performance without losing too much transparency. The first model uses naive Bayes estimation given a PET, and the second model uses a set of small-sized PETs as estimators by assuming the independence between these trees. Empirical studies on discrete and fuzzy lab.ls show that the first model outperforms the PET model at shallow depth, and the second model is equivalent to the naive Bayes and PET.

关键词： fuzzy lab.ls lab.l semantics random set probability estimation tree mass assignment linguistic decision tree naive Bayes

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A robot vision system in ABU robocon contest: Visual servoing navigation and object tracking

A robot vision system in ABU robocon contest: Visual servoin...

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2nd International Conference on Materials and Products Manufacturing Technology, ICMPMT 2012

作者： Li, Xihua Zhang, Ping Lin, Sina Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Intelligent Computing and Machine Learning Lab Beihang University Beijing 100191 China

ISBN: (纸本)9783037855447

This article took the 2011 ABU Robocon Contest as background, and introduced the design and implementation of a vision system for visual servoing navigation and object tracking in this contest. For visual servoing navigation part, it had a series of simple image processing and then added to a previous control law;tests showed only 3cm distance and 1°angle error occur when robot ran one line of 6m. For object tracking part, article introduced a combined algorithm for the detecting of a black and white semi-circle object, which moved quickly and uncertainty in a colorful background and shining environment;tests showed the proposed algorithm work better than other exist algorithms in complex environment. © (2013) Trans Tech Publications, Switzerland.

关键词： Navigation

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Stable matching in structured networks 14th

Stable matching in structured networks

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14th International Workshop on Knowledge Management and Acquisition for intelligent Systems, PKAW2016

作者： Ling, Ying Wan, Tao Qin, Zengchang Intelligent Computing and Machine Learning Lab School of ASEE Beihang University Beijing100191 China School of Biological Science and Medical Engineering Beihang University Beijing100191 China

ISBN: (纸本)9783319427058

Stable matching studies how to pair members of two sets with the objective to achieve a matching that satisfies all participating agents based on their preferences. In this research, we consider the case of matching in a social network where agents are not fully connected. We propose the concept of D-neighbourhood associated with connective costs to investigate the matching quality in four types of well-used networks. A matching algorithm is proposed based on the classical Gale-Shapley algorithm under constraints of network topology. Through experimental studies, we find that the matching outcomes in scale-free networks yield the best average utility with least connective costs comparing to other structured networks. This research provides insights for understanding matching behavior in social networks like marriage, trade, partnership, online social and job search. © Springer International Publishing Switzerland 2016.

关键词： Costs

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Watershed-based weighted graph partitioning active contours

Watershed-based weighted graph partitioning active contours

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2010 3rd International Congress on Image and Signal Processing, CISP 2010

作者： Wang, Shaorong Chen, Yisong Li, Sheng Wang, Guoping Li, Hua Key Lab. of Machine Perception and Intelligent MOE Beijing 100871 China HCI and Multimedia Lab. Dept. of Computer Science Peking University Beijing 100871 China National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

A novel Weighted Graph Partitioning Active Contours method based on weighted dissimilarity is introduced. This method is easy to be extended by defining different types of similarities. And it has been greatly acceler... 详细信息

ISBN: (纸本)9781424465149

关键词： Image segmentation

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Detection of driving fatigue based on grip force on steering wheel with wavelet transformation and support vector machine

Detection of driving fatigue based on grip force on steering...

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Li, Fan Wang, Xiao-Wei Lu, Bao-Liang Center for Brain-like Computing and Machine Intelligence Department of Computer Science and Engineering China MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (纸本)9783642420504

This paper proposes an unobtrusive way to detect fatigue for drivers through grip forces on steering wheel. Simulated driving experiments are conducted in a refitted passenger car, during which grip forces of both hands are collected. Wavelet transformation is introduced to extract fatigue-related features from wavelet coefficients. We compare the performance of k-nearest neighbours, linear discriminant analysis, and support vector machine (SVM) on the task of discriminating drowsy and awake states. SVM with radial basis function reaches the best accuracy, 75% on average. The results show that variation in grip forces on steering wheel can be used to effectively detect drivers' fatigue. © Springer-Verlag 2013.

关键词： Support vector machines

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Uncertainty Modeling for Data Mining 1

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丛书名： Advanced Topics in Science and Technology in China

1000年

作者： Zengchang Qin Yongchuan Tang

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Follow me up sports: New benchmark for 2d human keypoint recognition 2nd

Follow me up sports: New benchmark for 2d human keypoint rec...

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2nd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019

作者： Huang, Ying Sun, Bin Kan, Haipeng Zhuang, Jiankai Qin, Zengchang Alibaba Business School Hangzhou Normal University Hangzhou China Keep Inc Beijing China Intelligent Computing and Machine Learning Lab School of ASEE Beihang University Beijing China

ISBN: (纸本)9783030317256

Human pose estimation has made significant advancement in recent years. However, the existing datasets are limited in their coverage of pose variety. In this paper, we introduce a novel benchmark "FollowMeUp Sports" that makes an important advance in terms of specific postures, self-occlusion and class balance, a contribution that we feel is required for future development in human body models. This comprehensive dataset was collected using an established taxonomy of over 200 standard workout activities with three different shot angles. The collected videos cover a wider variety of specific workout activities than previous datasets including push-up, squat and body moving near the ground with severe self-occlusion or occluded by some sport equipment and outfits. Given these rich images, we perform a detailed analysis of the leading human pose estimation approaches gaining insights for the success and failures of these methods. © Springer Nature Switzerland AG 2019.

关键词： Sports

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An application of compressive sensing for image fusion 10

An application of compressive sensing for image fusion

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ACM International Conference on Image and Video Retrieval, ACM-CIVR 2010

作者： Wan, Tao Qin, Zengchang Department of Electrical and Electronic Engineering University of Bristol Bristol BS8 1UB United Kingdom Intelligent Computing and Machine Learning Lab. School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781450301176

Compressive sensing(CS) has inspired significant interest because of its compressive capability and lack of complexity on the sensor side. In this paper, we present a study of three sampling patterns and investigate their performance on CS reconstruction. We then propose a new image fusion algorithm in the compressive domain by using an improved sampling pattern. There are few studies regarding the applicability of CS to image fusion. The main purpose of this work is to explore the properties of compressive measurements through different sampling patterns and their potential use in image fusion. The study demonstrates that CS-based image fusion has a number of perceived advantages in comparison with image fusion in the multiresolution (MR) domain. The simulations show that the proposed CS-based image fusion algorithm provides promising results. Copyright © 2010 ACM.

关键词： Compressed sensing

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Generative Cooperative Net for Image Generation and Data Augmentation 2018

arXiv

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arXiv 2017年

作者： Xu, Qiangeng Qin, Zengchang Wan, Tao Intelligent Computing and Machine Learning Lab Beihang University Beijing China

How to build a good model for image generation given an abstract concept is a fundamental problem in computer vision. In this paper, we explore a generative model for the task of generating unseen images with desired features. We propose the Generative Cooperative Net (GCN) for image generation. The idea is similar to generative adversarial networks except that the generators and discriminators are trained to work accordingly. Our experiments on hand-written digit generation and facial expression generation show that GCN’s two cooperative counterparts (the generator and the classifier) can work together nicely and achieve promising results. We also discovered a usage of such generative model as an data-augmentation tool. Our experiment of applying this method on a recognition task shows that it is very effective comparing to other existing methods. It is easy to set up and could help generate a very large synthesized dataset. Copyright © 2017, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Deep learning for Prediction of Population of Acetes in Avoiding Biological Hazards for Nuclear Power Plants 14

Deep Learning for Prediction of Population of Acetes in Avoi...

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14th International Conference on intelligent Human-machine Systems and Cybernetics, IHMSC 2022

作者： Dai, Li Zhang, Rongyong Huang, Suyuan Liu, Junyi Li, Qi Zhang, Zhen Jiang, Xinshu Qin, Zengchang China Nuclear Power Engineering Co. Ltd Beijing China Beihang University Intelligent Computing and Machine Learning Lab School of Automation Science and Electrical Engineering Beijing China

ISBN: (数字)9781665461696

ISBN: (纸本)9781665461696

There have been frequent incidents of water intake blockage due to marine organisms, which pose a serious threat to the normal operation of nuclear power plants across the world. In order to avoid biological hazards for Nuclear Power Plants, we investigated the disaster-caused marine organism. In this work, we focus on the acetes, which is the main cause of the accident. By investigating the biological characteristics of acetes, we have established a mathematical model of the population dynamics of acetes. We have also utilized two deep learning methods, LSTM and Transformer, to predict the population density of acetes. Finally, we have also compared the two methods. As a result, we find that LSTM performs better and it can be used for data-based dynamical modeling in future work. © 2022 IEEE.

关键词： Population statistics

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