# IEEE Transactions on Cybernetics

## Volume 48 Issue 5 • May 2018

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## Filter Results

Displaying Results 1 - 25 of 32

Publication Year: 2018, Page(s):C1 - 1341
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• ### IEEE Transactions on Cybernetics

Publication Year: 2018, Page(s): C2
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• ### Fuzzy Adaptive Output Feedback Control of Uncertain Nonlinear Systems With Prescribed Performance

Publication Year: 2018, Page(s):1342 - 1354
Cited by:  Papers (2)
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This paper investigates the tracking control problem for a family of strict-feedback systems in the presence of unknown nonlinearities and immeasurable system states. A low-complexity adaptive fuzzy output feedback control scheme is proposed, based on a backstepping method. In the control design, a fuzzy adaptive state observer is first employed to estimate the unmeasured states. Then, a novel err... View full abstract»

• ### A New Differential Evolution Algorithm for Minimax Optimization in Robust Design

Publication Year: 2018, Page(s):1355 - 1368
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Minimax optimization, which is actively involved in numerous robust design problems, aims at pursuing the solutions with best worst-case performances. Although considerable research has been devoted to the development of minimax optimization algorithms, there still exist several fundamental limitations for existing approaches, e.g., restriction on problem types, excessively high computational cost... View full abstract»

• ### MISAGA: An Algorithm for Mining Interesting Subgraphs in Attributed Graphs

Publication Year: 2018, Page(s):1369 - 1382
Cited by:  Papers (1)
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An attributed graph contains vertices that are associated with a set of attribute values. Mining clusters or communities, which are interesting subgraphs in the attributed graph is one of the most important tasks of graph analytics. Many problems can be defined as the mining of interesting subgraphs in attributed graphs. Algorithms that discover subgraphs based on predefined topologies cannot be u... View full abstract»

• ### Clustering by Local Gravitation

Publication Year: 2018, Page(s):1383 - 1396
Cited by:  Papers (1)
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The objective of cluster analysis is to partition a set of data points into several groups based on a suitable distance measure. We first propose a model called local gravitation among data points. In this model, each data point is viewed as an object with mass, and associated with a local resultant force (LRF) generated by its neighbors. The motivation of this paper is that there exist distinct d... View full abstract»

• ### Aperiodic Robust Model Predictive Control for Constrained Continuous-Time Nonlinear Systems: An Event-Triggered Approach

Publication Year: 2018, Page(s):1397 - 1405
Cited by:  Papers (1)
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The event-triggered control is a promising solution to cyber-physical systems, such as networked control systems, multiagent systems, and large-scale intelligent systems. In this paper, we propose an event-triggered model predictive control (MPC) scheme for constrained continuous-time nonlinear systems with bounded disturbances. First, a time-varying tightened state constraint is computed to achie... View full abstract»

• ### Video Decolorization Using Visual Proximity Coherence Optimization

Publication Year: 2018, Page(s):1406 - 1419
Cited by:  Papers (1)
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Video decolorization is to filter out the color information while preserving the perceivable content in the video as much and correct as possible. Existing methods mainly apply image decolorization strategies on videos, which may be slow and produce incoherent results. In this paper, we propose a video decolorization framework that considers frame coherence and saves decolorization time by referri... View full abstract»

• ### Social Synchrony on Complex Networks

Publication Year: 2018, Page(s):1420 - 1431
Cited by:  Papers (3)
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Social synchrony (SS) is an emergent phenomenon in human society. People often mimic others which, over time, can result in large groups behaving similarly. Drawing from prior empirical studies of SS in online communities, here we propose a discrete network model of SS based on four attributes: 1) depth of action; 2) breadth of impact, i.e., a large number of actions are performed with a large gro... View full abstract»

• ### Adaptive Graph Matching

Publication Year: 2018, Page(s):1432 - 1445
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Establishing correspondence between point sets lays the foundation for many computer vision and pattern recognition tasks. It can be well defined and solved by graph matching. However, outliers may significantly deteriorate its performance, especially when outliers exist in both point sets and meanwhile the inlier number is unknown. In this paper, we propose an adaptive graph matching algorithm to... View full abstract»

• ### Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical Biometrics

Publication Year: 2018, Page(s):1446 - 1459
Cited by:  Papers (2)
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Electrocardiogram (ECG) and transient evoked otoacoustic emission (TEOAE) are among the physiological signals that have attracted significant interest in biometric community due to their inherent robustness to replay and falsification attacks. However, they are time-dependent signals and this makes them hard to deal with in across-session human recognition scenario where only one session is availa... View full abstract»

• ### Locally Weighted Ensemble Clustering

Publication Year: 2018, Page(s):1460 - 1473
Cited by:  Papers (3)
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Due to its ability to combine multiple base clusterings into a probably better and more robust clustering, the ensemble clustering technique has been attracting increasing attention in recent years. Despite the significant success, one limitation to most of the existing ensemble clustering methods is that they generally treat all base clusterings equally regardless of their reliability, which make... View full abstract»

• ### Quaternion Locality-Constrained Coding for Color Face Hallucination

Publication Year: 2018, Page(s):1474 - 1485
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Recently, the locality linear coding (LLC) has attracted more and more attentions in the areas of image processing and computer vision. However, the conventional LLC with real setting is just designed for the grayscale image. For the color image, it usually treats each color channel individually or encodes the monochrome image by concatenating all the color channels, which ignores the correlations... View full abstract»

• ### Semi-Supervised Learning Through Label Propagation on Geodesics

Publication Year: 2018, Page(s):1486 - 1499
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Graph-based semi-supervised learning (SSL) has attracted great attention over the past decade. However, there are still several open problems in this paper, including: 1) how to construct an effective graph over data with complex distribution and 2) how to define and effectively use pair-wise similarity for robust label propagation. In this paper, we utilize a simple and effective graph constructi... View full abstract»

• ### Can We Speculate Running Application With Server Power Consumption Trace?

Publication Year: 2018, Page(s):1500 - 1512
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In this paper, we propose to detect the running applications in a server by classifying the observed power consumption series for the purpose of data center energy consumption monitoring and analysis. Time series classification problem has been extensively studied with various distance measurements developed; also recently the deep learning-based sequence models have been proved to be promising. I... View full abstract»

• ### RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition

Publication Year: 2018, Page(s):1513 - 1525
Cited by:  Papers (3)
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The motion behaviors of a rigid body can be characterized by a six degrees of freedom motion trajectory, which contains the 3-D position vectors of a reference point on the rigid body and 3-D rotations of this rigid body over time. This paper devises a rotation and relative velocity (RRV) descriptor by exploring the local translational and rotational invariants of rigid body motion trajectories, w... View full abstract»

• ### Gait Recognition Based on Normal Distance Maps

Publication Year: 2018, Page(s):1526 - 1539
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Gait is a commonly used biometric for human recognition. Its main advantage relies on its ability to identify people at distances at which other biometrics fail. In this paper, we develop a new approach for gait recognition that combines the distance transform with curvatures of local contours. We call our gait feature template the normal distance map. Our method encodes both body shapes and bound... View full abstract»

• ### A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions

Publication Year: 2018, Page(s):1540 - 1552
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Social working memory (SWM) plays an important role in navigating social interactions. Inspired by studies in psychology, neuroscience, cognitive science, and machine learning, we propose a probabilistic model of SWM to mimic human social intelligence for personal information retrieval (IR) in social interactions. First, we establish a semantic hierarchy as social long-term memory to encode person... View full abstract»

• ### An Iterated Greedy Heuristic for Mixed No-Wait Flowshop Problems

Publication Year: 2018, Page(s):1553 - 1566
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The mixed no-wait flowshop problem with both wait and no-wait constraints has many potential real-life applications. The problem can be regarded as a generalization of the traditional permutation flowshop and the no-wait flowshop. In this paper, we study, for the first time, this scheduling setting with makespan minimization. We first propose a mathematical model and then we design a speed-up make... View full abstract»

• ### Finite-Horizon $H_\infty$ Consensus for Multiagent Systems With Redundant Channels via An Observer-Type Event-Triggered Scheme

Publication Year: 2018, Page(s):1567 - 1576
Cited by:  Papers (1)
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This paper is concerned with the finite-horizon H consensus problem for a class of discrete time-varying multiagent systems with external disturbances and missing measurements. To improve the communication reliability, redundant channels are introduced and the corresponding protocol is constructed for the information transmission over redundant channels. An event-triggered scheme is adopted to det... View full abstract»

• ### Collective Behaviors of Mobile Robots Beyond the Nearest Neighbor Rules With Switching Topology

Publication Year: 2018, Page(s):1577 - 1590
Cited by:  Papers (3)
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This paper is concerned with the collective behaviors of robots beyond the nearest neighbor rules, i.e., dispersion and flocking, when robots interact with others by applying an acute angle test (AAT)-based interaction rule. Different from a conventional nearest neighbor rule or its variations, the AAT-based interaction rule allows interactions with some far-neighbors and excludes unnecessary near... View full abstract»

• ### Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts

Publication Year: 2018, Page(s):1591 - 1604
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Many applications involve processing networked streaming data in a timely manner. Graph stream classification aims to learn a classification model from a stream of graphs with only one-pass of data, requiring real-time processing in training and prediction. This is a nontrivial task, as many existing methods require multipass of the graph stream to extract subgraph structures as features for graph... View full abstract»

• ### Classifier Fusion With Contextual Reliability Evaluation

Publication Year: 2018, Page(s):1605 - 1618
Cited by:  Papers (4)
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Classifier fusion is an efficient strategy to improve the classification performance for the complex pattern recognition problem. In practice, the multiple classifiers to combine can have different reliabilities and the proper reliability evaluation plays an important role in the fusion process for getting the best classification performance. We propose a new method for classifier fusion with cont... View full abstract»

• ### Audio Tracking in Noisy Environments by Acoustic Map and Spectral Signature

Publication Year: 2018, Page(s):1619 - 1632
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A novel method is proposed for generic target tracking by audio measurements from a microphone array. To cope with noisy environments characterized by persistent and high energy interfering sources, a classification map (CM) based on spectral signatures is calculated by means of a machine learning algorithm. Next, the CM is combined with the acoustic map, describing the spatial distribution of sou... View full abstract»

• ### Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game

Publication Year: 2018, Page(s):1633 - 1646
Cited by:  Papers (2)
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In this paper, we present a new model-free globalized dual heuristic dynamic programming (GDHP) approach for the discrete-time nonlinear zero-sum game problems. First, the online learning algorithm is proposed based on the GDHP method to solve the Hamilton-Jacobi-Isaacs equation associated with H∞optimal regulation control problem. By setting backward one step of the definition of perfo... View full abstract»

## 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