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Tsinghua Science and technology 2014年第1期19卷 76-81页

作者： Jie Chen Shu Zhao Yanping Zhang Department of Computer Science and Technology and Key Lab of Intelligent Computing and Signal Processing Anhui University

The concept of deep learning has been applied to many domains, but the definition of a suitable problem depth has not been sufficiently explored. In this study, we propose a new Hierarchical Covering Algorithm （HCA） method to determine the levels of a hierarchical structure based on the Covering Algorithm （CA）. The CA constructs neural networks based on samples＇ own characteristics, and can effectively handle multi-category classification and large-scale data. Further, we abstract characters based on the CA to automatically embody the feature of a deep structure. We apply CA to construct hidden nodes at the lower level, and define a fuzzy equivalence relation R on upper spaces to form a hierarchical architecture based on fuzzy quotient space theory. The covering tree naturally becomes from R. HCA experiments performed on MNIST dataset show that the covering tree embodies the deep architecture of the problem, and the effects of a deep structure are shown to be better than having a single level.

关键词： deep architecture hierarchy fuzzy equivalence relation covering tree MNIST dataset

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Multiple-Instance Learning with Instance Selection via Constructive Covering Algorithm

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Tsinghua Science and technology 2014年第3期19卷 285-292页

作者： Yanping Zhang Heng Zhang Huazhen Wei Jie Tang Shu Zhao the Department of Computer Science and Technology and Key Lab of Intelligent Computing and Signal Processing Anhui University the Department of Computer Science and Technology and Key Lab of Intelligent Computing and Signal Processing Anhui University1Hefei 230601 China the Department of Computer Science and Technology Tsinghua University

Multiple-Instance Learning （MIL） is used to predict the unlab.led bags＇ lab.l by learning the lab.led positive training bags and negative training *** bag is made up of several unlab.led instances.A bag is lab.led positive if at least one of its instances is positive,otherwise *** multiple-instance learning methods with instance selection ignore the representative degree of the selected *** example,if an instance has many similar instances with the same lab.l around it,the instance should be more representative than *** on this idea,in this paper,a multiple-instance learning with instance selection via constructive covering algorithm （MilCa） is *** MilCa,we firstly use maximal Hausdorff to select some initial positive instances from positive bags,then use a Constructive Covering Algorithm （CCA） to restructure the structure of the original instances of negative *** an inverse testing process is employed to exclude the false positive instances from positive bags and to select the high representative degree instances ordered by the number of covered instances from training ***,a similarity measure function is used to convert the training bag into a single sample and CCA is again used to classification for the converted *** results on synthetic data and standard benchmark datasets demonstrate that MilCa can decrease the number of the selected instances and it is competitive with the state-of-the-art MIL algorithms.

关键词： multiple-instance learning instance selection constructive covering algorithm maximal Hausdorff

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Proceedings of workshop AEW10: Concepts in information theory and communications

arXiv

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arXiv 2017年

作者： Kamabe, Hiroshi Manada, Akiko Muramatsu, Jun Miyake, Shigeki Morita, Hiroyoshi Chen, Yanling Han Vinck, A.J. Sakai, Yuta Iwata, Ken-Ichi Tamm, Ulrich De With, Peter H.N. Van Der Sommen, Fons Langenhuizen, Patrick Van Der Putten, Joost Harutyunyan, Ashot N. Poghosyan, Arnak V. Grigoryan, Naira M. Chaabane, Ferdaous Imanishi, Masayuki Wadayama, Tadashi Wübben, Dirk Kurkoski, Brian M. Lewandowsky, Jan Yamamoto, Hirosuke Gassara, Hela Rouissi, Fatma Ghazel, Adel Grati, Khaled Gharbi, Hamed Kuzuoka, Shigeaki Baggen, Stan Iwamoto, Mitsugu Gifu University Japan Graduate School of Informatics and Engineering University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan NTT Communication Science Laboratories NTT Corporation NTT Network Innovation Laboratories NTT Corporation University of Electro-Communications Chofu Tokyo182-8585 Japan Institute of Digital Signal Processing University of Duisburg-Essen Germany University of Fukui Japan University of Applied Sciences Interaktion 1 Bielefeld33619 Germany Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands 48 Mamikonyants str. Yerevan0051 Armenia GRESCOM Lab. Ecole Supérieure des Communications de Tunis University of Carthage SUP'COM Cité technologique des communications 2088 El Ghazala Ariana Tunisia Nagoya Institute of Technology Japan Department of Communications Engineering University of Bremen Bremen28359 Germany Japan Advanced Institute of Science and Technology Nomi Japan Hamburg University of Technology Institute of Communications Hamburg21073 Germany Dept. of Complexity Science and Engineering University of Tokyo Kashiwa-shi Chiba277-8561 Japan EBSYS Wevioo Group Technopôle Elgazala El Ghazala Ariana2088 Tunisia Faculty of Systems Engineering Wakayama University Sakaedani 930 Wakayama-shi Wakayama640-8510 Japan Philips Lighting Research High Tech Campus 7 Eindhoven5656 AE Netherlands University of Electro-Communications Japan

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Social sensing enhanced time estimation for bus service

Social sensing enhanced time estimation for bus service

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作者： Liu, Jin Li, Juan Cui, Xiaohui Niu, Xiaoguang Sun, Xiaoping Zhou, Jing State Key Lab. of Software Engineering Computer School Wuhan University Wuhan China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China International School of Software Wuhan University Wuhan China Computer School Wuhan University Wuhan China Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science Communication University of China China

The precise prediction of bus routes or the arrival time of buses for a traveler can enhance the quality of bus service. However, many social factors influence people's preferences for taking buses. These social factors may include heavy traffic cost, traffic congestion, poor air quality and so forth. Existing prediction techniques rarely consider social sensing when predicting the bus arrival time. Accordingly, this paper proposes a social sensing enhanced service for predicting bus routes, which integrates sensing ability and social networks to understand and measure the influence between social events and vehicle velocity. We focus on the analysis of two different attributions: PT service quality attributions PEAs and road condition attributions PRCAs. Both of them synthesize the social sensing in their evaluation of bus routes. PEA represents individual preferences and PRCA represents physical factors that significantly influence vehicle velocity. Bus relevant social events were further categorized into PEA events or PRCA events. PEAs of buses were scored according to the tendency of bus conditions reflected in social events. Furthermore, an artificial neural network prediction model is established to estimate the bus travel time. © 2015 John Wiley & Sons, Ltd.

关键词： Buses

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Ionosphere correction algorithm for P-band spaceborne SAR imaging

Ionosphere correction algorithm for P-band spaceborne SAR im...

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Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)

作者： Fang Zhou Guang-cai Sun Xue-zhi Yang Meng-dao Xing School of Computer and Information Hefei University of Technology Hefei China National Key Lab of Radar Signal Processing Xidian University Xi'an China

ISBN: (纸本)9781467372985

The ionospheric effects can be a significant source of phase error in the P-band spaceborne Synthetic Aperture Radar (SAR) signal, causing a degeneration of the image quality. We analyze the background ionospheric effects on spaceborne SAR through modeling and simulation, and give the qualitative and quantitative analysis based on the spatiotemporal variability of ionosphere. A novel ionosphere correction algorithm (ICA) is proposed to deal with the ionospheric effects on the P-band spaceborne SAR imaging. With the proposed algorithm, the degradation of image quality caused by the ionosphere is corrected. The simulation results confirm the validity of the proposed algorithm.

关键词： Decision support systems Conferences Apertures

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Cooperative control of a serial-to-parallel structure using a virtual kinematic chain in a mobile dual-arm manipulation application

Cooperative control of a serial-to-parallel structure using ...

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2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Yuquan Wang Christian Smith Yiannis Karayiannidis Petter Ögren Computer Vision and Active Perception Lab. Royal Institute of Technology (KTH) Stockholm Sweden Department of Signal and Systems Chalmers University of Technology Gothenburg Sweden

In the future mobile dual-arm robots are expected to perform many tasks. Kinematically, the configuration of two manipulators that branch from the same common mobile base results in a serial-to-parallel kinematic structure, which makes inverse kinematic computations non-trivial. The motion of the base has to be decided in a trade-off, taking the needs of both arms into account. We propose to use a Virtual Kinematic Chain (VKC) to specify the common motion of the parallel manipulators, instead of using the two manipulators kinematics directly. With this VKC, we formulate a constraint based programming solution for the robot to respond to external disturbances during task execution. The proposed approach is experimentally verified both in a noise-free illustrative simulation and a real human robot co-manipulation task.

关键词： Kinematics Robot kinematics Mobile communication Manipulators Jacobian matrices Programming

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A novel human interaction game-like application to learn, perform and evaluate modern contemporary singing: "Human Beat Box" 10

A novel human interaction game-like application to learn, pe...

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10th International Conference on computer Vision Theory and Applications, VISAPP 2015

作者： Al Kork, S.K. Uʇurca, D. Şahin, C. Chawah, P. Buchman, L. Adda-Decker, M. Xu, K. Denby, B. Roussel, P. Picart, B. Dupont, S. Tsalakanidou, F. Kitsikidis, A. Dagnino, F.M. Ott, M. Pozzi, F. Stone, M. Yilmaz, E. Argedor Information Technologies Ankara Turkey Universite Pierre Maire Curie Paris France Signal Processing and Machine Learning Lab. ESPCI Paris France Phonetics and Phonology Laboratory LPP-CNRS Paris France University Paris 3 Sorbonne Nouvelle Paris France Unversity of Mons Mons Belgium Information Technologies Institute Centre for Research and Technology Hellas Thessaloniki Greece Palermo Italy Vocal Tract Visualization Lab. University of Maryland Dental School Baltimore United States

ISBN: (纸本)9789897580901

The paper presents an interactive game-like application to learn, perform and evaluate modern contemporary singing. The Human Beat Box (HBB) is being used as a case study. The game consists of two main modules. A sensor module that consists of a portable helmet based system containing an ultrasonic (US) transducer to capture tongue movements, a video camera for the lips, Kinect camera for face gestures, and a microphone for sound. A 3D environment game module is used to visualize a 3D recording studio as game world with all of its unique elements like guitars, mixer, amplifier, speakers and a microphone in front of the 3D avatar to simulate the recording ambience. The game also features a 2D virtual tutor to help the learner by giving oral and written feedback during the game. He also gives feedbacks during the practice session to improve the student's performance. The game is still at its early stages of development and it is been tested using simple HBB plosive sounds for percussion such as "PTK".

关键词： Human computer interaction

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Decision-making strategies for multi-objective community detection in complex networks

Communications in Computer and Information Science

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Communications in computer and Information Science 2014年 472卷 621-628页

作者： Zhang, Yu Zhang, Xingyi Tang, Jin Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China

ISBN: (纸本)9783662450482

Multi-objective optimization algorithms have demonstrated their effectiveness and efficiency in detecting community structure in complex networks, by which a set of trade-off partitions of networks are obtained instead of a single partition. The large number of partitions lead to a challenging problem for decision makers: how to obtain an ideal partition from the set of trade-off partitions of networks. In this paper, we present two decision-making strategies for obtaining the ideal partition, one is based on the knee points and the other is based on the majority voting. Experimental results on random networks and real-world networks illustrate that the presented two strategies are very competitive for obtaining an ideal partition of networks. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Complex networks

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A bandit algorithm for multi-path routing in the emergency convergence network

A bandit algorithm for multi-path routing in the emergency c...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Fu Wu Lin Zheng Xiaoji Li Guangxi Key Lab. Wireless Wideband Communication and Signal Processing Guilin China Sci. and Tech. on Info. Transmission and Dissemination in Communication Networks Lab Guilin University of Electronic Technology Guilin China

In the convergence network which consists of cognitive self-organization network and mobile cellular network (MCN), the emergency service requires the network with higher reliability and quality of service (QoS). However, the time-variant factors such as spectrum, channel, network topology, node energy, as well as the gateway performance make the stochastic optimization problem of emergency service complex. In this paper, we create an optimum model which is based on the restless bandit theory[1], and propose an optimum algorithm for multi-path routing selection by considering the routing cross and overlap. In our algorithm, the multi-mode gateways are regarded as the key nodes to construct the routes between cognitive self-organization network and mobile cellular network. The cross and overlapped routes are taken into consideration to loosen and expand the routes set for selection. The communication process is divided into a few path decision stages, and some paths for multicast[2][3] communication are activated according to their real-time status in each stage. The trade-off between delay and energy efficiency is made for multi-path selection. Simulation results verify that our algorithm owns outstanding performance on decreasing delay and improving energy efficiency.

关键词： Logic gates Routing Emergency services Delays Convergence Energy consumption Quality of service

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Structural holes study of ICML collab.rative network

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Journal of Computational Information Systems 2014年第24期10卷 10715-10722页

作者： Duan, Weiwei Qian, Fulan Shi, Lei Zhang, Yanping School of Computer Science and Technology Anhui University Hefei China Key Lab of Intelligent Computing and Signal Processing Anhui University Hefei China

Collab.ration among authors is a pervasive phenomenon currently. Mining useful information from cooperation is a significant study to unravel relationships underneath these papers and predict potential collab.rations or future popular academic topics. This paper demonstrates the change of Structural Holes in the whole network and for some individual authors from 2009 to 2012 in ICML. This paper is going to study the biggest subset in 2009, which separates into several smaller subsets with less structural holes in 2010 and 2011, while the number of structural holes in 2012 increases. The graphs of the whole networks from 2009 to 2012 drawn by Ucinet are going to demonstrate the changes of structural holes from 2009 to 2012 and expl the reason why there are more structural holes in 2012 compared to 2010 and 2011. The reason is that the ainnumber of authors in 2012 increases about 50 percent compared to 2011, which results in that authors need to find new collab.rations and leaders may become intermediaries to connect new authors and existing authors occupying structural holes. And some authors whose papers are published on ICML continuously from 2009 to 2012 are going to be analysed to indicate the changes of their position in the network. Some authors are increasingly constrained in certain groups, while some other authors become bridges connecting different groups and some other authors changes are correspond to the changes of the whole network. They are constrained in certain subset with less structural holes in 2010 and 2011 but, due to large number of authors joining in ICML, more likely to occupy more structural holes.

关键词： Data mining

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