IEEE Transactions on Cybernetics

Issue 6 • June 2015

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  • Table of contents

    Publication Year: 2015, Page(s): C1
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  • IEEE Transactions on Cybernetics publication information

    Publication Year: 2015, Page(s): C2
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  • New Techniques for Mining Frequent Patterns in Unordered Trees

    Publication Year: 2015, Page(s):1113 - 1125
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1693 KB) | HTML iconHTML

    We consider a new tree mining problem that aims to discover restrictedly embedded subtree patterns from a set of rooted labeled unordered trees. We study the properties of a canonical form of unordered trees, and develop new Apriori-based techniques to generate all candidate subtrees level by level through two efficient rightmost expansion operations: 1) pairwise joining and 2) leg attachment. Nex... View full abstract»

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  • Consensus of Euler–Lagrange Systems Networked by Sampled-Data Information with Probabilistic Time Delays

    Publication Year: 2015, Page(s):1126 - 1133
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (658 KB) | HTML iconHTML

    This paper investigates the consensus problem of multiple Euler-Lagrange systems under directed topology. Unlike the common assumptions on continuous-time information exchanges, a more realistic sampled-data communication strategy is proposed with probabilistic occurrence of time-varying delays. Both of the sampling period and the delays are assumed to be time-varying, which is more general in som... View full abstract»

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  • Toward a New Task Assignment and Path Evolution (TAPE) for Missile Defense System (MDS) Using Intelligent Adaptive SOM with Recurrent Neural Networks (RNNs)

    Publication Year: 2015, Page(s):1134 - 1145
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2399 KB) | HTML iconHTML

    In this paper, a new adaptive self-organizing map (SOM) with recurrent neural network (RNN) controller is proposed for task assignment and path evolution of missile defense system (MDS). We address the problem of N agents (defending missiles) and D targets (incoming missiles) in MDS. A new RNN controller is designed to force an agent (or defending missile) toward a target (or incoming missile), an... View full abstract»

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  • End-Point Impedance Measurements Across Dominant and Nondominant Hands and Robotic Assistance with Directional Damping

    Publication Year: 2015, Page(s):1146 - 1157
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2752 KB) | HTML iconHTML

    The goal of this paper is to perform end-point impedance measurements across dominant and nondominant hands while doing airbrush painting and to use the results for developing a robotic assistance scheme. We study airbrush painting because it resembles in many ways manual welding, a standard industrial task. The experiments are performed with the 7 degrees of freedom KUKA lightweight robot arm. Th... View full abstract»

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  • Label Image Constrained Multiatlas Selection

    Publication Year: 2015, Page(s):1158 - 1168
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1508 KB) | HTML iconHTML

    Multiatlas based method is commonly used in medical image segmentation. In multiatlas based image segmentation, atlas selection and combination are considered as two key factors affecting the performance. Recently, manifold learning based atlas selection methods have emerged as very promising methods. However, due to the complexity of prostate structures in raw images, it is difficult to get accur... View full abstract»

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  • The Generalization Ability of SVM Classification Based on Markov Sampling

    Publication Year: 2015, Page(s):1169 - 1179
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1101 KB) | HTML iconHTML

    The previously known works studying the generalization ability of support vector machine classification (SVMC) algorithm are usually based on the assumption of independent and identically distributed samples. In this paper, we go far beyond this classical framework by studying the generalization ability of SVMC based on uniformly ergodic Markov chain (u.e.M.c.) samples. We analyze the excess miscl... View full abstract»

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  • High-Order Statistics of Weber Local Descriptors for Image Representation

    Publication Year: 2015, Page(s):1180 - 1193
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2175 KB) | HTML iconHTML

    Highly discriminant visual features play a key role in different image classification applications. This study aims to realize a method for extracting highly-discriminant features from images by exploring a robust local descriptor inspired by Weber's law. The investigated local descriptor is based on the fact that human perception for distinguishing a pattern depends not only on the absolute inten... View full abstract»

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  • Multiple/Single-View Human Action Recognition via Part-Induced Multitask Structural Learning

    Publication Year: 2015, Page(s):1194 - 1208
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2128 KB) | HTML iconHTML Multimedia Media

    This paper proposes a unified framework for multiple/single-view human action recognition. First, we propose the hierarchical partwise bag-of-words representation which encodes both local and global visual saliency based on the body structure cue. Then, we formulate the multiple/single-view human action recognition as a part-regularized multitask structural learning (MTSL) problem which has two ad... View full abstract»

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  • Feature Selection Based on Dependency Margin

    Publication Year: 2015, Page(s):1209 - 1221
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2110 KB) | HTML iconHTML

    Feature selection tries to find a subset of feature from a larger feature pool and the selected subset can provide the same or even better performance compared with using the whole set. Feature selection is usually a critical preprocessing step for many machine-learning applications such as clustering and classification. In this paper, we focus on feature selection for supervised classification wh... View full abstract»

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  • Learning Has No Boundaries

    Publication Year: 2015, Page(s): 1222
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  • Discover more. IEEE Educational Activities

    Publication Year: 2015, Page(s): 1223
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  • Imagine a community hopeful for the future

    Publication Year: 2015, Page(s): 1224
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  • IEEE Systems, Man, and Cybernetics Society Information

    Publication Year: 2015, Page(s): C3
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  • IEEE Transactions on Cybernetics information for authors

    Publication Year: 2015, Page(s): C4
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Aims & Scope

The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Prof. Jun Wang
Dept. of Computer Science
City University of Hong Kong
Kowloon Tong, Kowloon, Hong Kong
Tel: +852 34429701
Email: jwang.cs@cityu.edu.hk