# IEEE Transactions on Cybernetics

## Filter Results

Displaying Results 1 - 23 of 23

Publication Year: 2014, Page(s): C1
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• ### IEEE Transactions on Cybernetics publication information

Publication Year: 2014, Page(s): C2
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• ### Introducing Memory and Association Mechanism Into a Biologically Inspired Visual Model

Publication Year: 2014, Page(s):1485 - 1496
Cited by:  Papers (16)
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A famous biologically inspired hierarchical model (HMAX model), which was proposed recently and corresponds to V1 to V4 of the ventral pathway in primate visual cortex, has been successfully applied to multiple visual recognition tasks. The model is able to achieve a set of position- and scale-tolerant recognition, which is a central problem in pattern recognition. In this paper, based on some oth... View full abstract»

• ### The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling

Publication Year: 2014, Page(s):1497 - 1507
Cited by:  Papers (11)
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This paper considers the generalization ability of two regularized regression algorithms [least square regularized regression (LSRR) and support vector machine regression (SVMR)] based on non-independent and identically distributed (non-i.i.d.) samples. Different from the previously known works for non-i.i.d. samples, in this paper, we research the generalization bounds of two regularized regressi... View full abstract»

• ### Uncertainty Representation of Grey Numbers and Grey Sets

Publication Year: 2014, Page(s):1508 - 1517
Cited by:  Papers (12)
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In the literature, there is a presumption that a grey set and an interval-valued fuzzy set are equivalent. This presumption ignores the existence of discrete components in a grey number. In this paper, new measurements of uncertainties of grey numbers and grey sets, consisting of both absolute and relative uncertainties, are defined to give a comprehensive representation of uncertainties in a grey... View full abstract»

• ### Distributed Finite-Time Containment Control for Double-Integrator Multiagent Systems

Publication Year: 2014, Page(s):1518 - 1528
Cited by:  Papers (127)
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In this paper, the distributed finite-time containment control problem for double-integrator multiagent systems with multiple leaders and external disturbances is discussed. In the presence of multiple dynamic leaders, by utilizing the homogeneous control technique, a distributed finite-time observer is developed for the followers to estimate the weighted average of the leaders' velocities at firs... View full abstract»

• ### Community-Aware Task Allocation for Social Networked Multiagent Systems

Publication Year: 2014, Page(s):1529 - 1543
Cited by:  Papers (19)
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In this paper, we propose a novel community-aware task allocation model for social networked multiagent systems (SN-MASs), where the agent' cooperation domain is constrained in community and each agent can negotiate only with its intracommunity member agents. Under such community-aware scenarios, we prove that it remains NP-hard to maximize system overall profit. To solve this problem effectively,... View full abstract»

• ### Hyperspectral Image Classification Using Functional Data Analysis

Publication Year: 2014, Page(s):1544 - 1555
Cited by:  Papers (22)
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The large number of spectral bands acquired by hyperspectral imaging sensors allows us to better distinguish many subtle objects and materials. Unlike other classical hyperspectral image classification methods in the multivariate analysis framework, in this paper, a novel method using functional data analysis (FDA) for accurate classification of hyperspectral images has been proposed. The central ... View full abstract»

• ### A New Design of Robust${\rm H}_{\infty}$Sliding Mode Control for Uncertain Stochastic T-S Fuzzy Time-Delay Systems

Publication Year: 2014, Page(s):1556 - 1566
Cited by:  Papers (32)
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In this paper, a novel dynamic sliding mode control scheme is proposed for a class of uncertain stochastic nonlinear time-delay systems represented by Takagi-Sugeno fuzzy models. The key advantage of the proposed scheme is that two very restrictive assumptions in most existing sliding mode control approaches for stochastic fuzzy systems have been removed. It is shown that the closed-loop control s... View full abstract»

• ### Bare Bones Particle Swarm Optimization With Scale Matrix Adaptation

Publication Year: 2014, Page(s):1567 - 1578
Cited by:  Papers (29)
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Bare bones particle swarm optimization (BBPSO) is a swarm algorithm that has shown potential for solving single-objective unconstrained optimization problems over continuous search spaces. However, it suffers of the premature convergence problem that means it may get trapped into a local optimum when solving multimodal problems. In order to address this drawback and improve the performance of the ... View full abstract»

• ### Exposure Fusion Using Boosting Laplacian Pyramid

Publication Year: 2014, Page(s):1579 - 1590
Cited by:  Papers (30)
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This paper proposes a new exposure fusion approach for producing a high quality image result from multiple exposure images. Based on the local weight and global weight by considering the exposure quality measurement between different exposure images, and the just noticeable distortion-based saliency weight, a novel hybrid exposure weight measurement is developed. This new hybrid weight is guided n... View full abstract»

• ### Acquisition of Causal Models for Local Distributions in Bayesian Networks

Publication Year: 2014, Page(s):1591 - 1604
Cited by:  Papers (12)
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To specify a Bayesian network, a local distribution in the form of a conditional probability table, often of an effect conditioned on its n causes, needs to be acquired, one for each non-root node. Since the number of parameters to be assessed is generally exponential in n, improving the efficiency is an important concern in knowledge engineering. Non-impeding noisy-AND (NIN-AND) tree causal model... View full abstract»

• ### Sensor-Driven Area Coverage for an Autonomous Fixed-Wing Unmanned Aerial Vehicle

Publication Year: 2014, Page(s):1605 - 1618
Cited by:  Papers (22)
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Area coverage with an onboard sensor is an important task for an unmanned aerial vehicle (UAV) with many applications. Autonomous fixed-wing UAVs are more appropriate for larger scale area surveying since they can cover ground more quickly. However, their non-holonomic dynamics and susceptibility to disturbances make sensor coverage a challenging task. Most previous approaches to area coverage pla... View full abstract»

• ### DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models

Publication Year: 2014, Page(s):1619 - 1631
Cited by:  Papers (17)
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Identification of models from input-output data essentially requires estimation of appropriate cluster centers. In this paper, a new online evolving clustering approach for streaming data is proposed. Unlike other approaches that consider either the data density or distance from existing cluster centers, this approach uses cluster weight and distance before generating new clusters. To capture the ... View full abstract»

• ### A Generic Method for the Evaluation of Interval Type-2 Fuzzy Linguistic Summaries

Publication Year: 2014, Page(s):1632 - 1645
Cited by:  Papers (11)
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Linguistic summarization has turned out to be an important knowledge discovery technique by providing the most relevant natural language-based sentences in a human consistent manner. While many studies on linguistic summarization have handled ordinary fuzzy sets [type-1 fuzzy set (T1FS)] for modeling words, only few of them have dealt with interval type-2 fuzzy sets (IT2FS) even though IT2FS is be... View full abstract»

• ### Generalized Laplacian Eigenmaps for Modeling and Tracking Human Motions

Publication Year: 2014, Page(s):1646 - 1660
Cited by:  Papers (10)
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This paper presents generalized Laplacian eigenmaps, a novel dimensionality reduction approach designed to address stylistic variations in time series. It generates compact and coherent continuous spaces whose geometry is data-driven. This paper also introduces graph-based particle filter, a novel methodology conceived for efficient tracking in low dimensional space derived from a spectral dimensi... View full abstract»

• ### Maximal Entropy Random Walk for Region-Based Visual Saliency

Publication Year: 2014, Page(s):1661 - 1672
Cited by:  Papers (24)
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Visual saliency is attracting more and more research attention since it is beneficial to many computer vision applications. In this paper, we propose a novel bottom-up saliency model for detecting salient objects in natural images. First, inspired by the recent advance in the realm of statistical thermodynamics, we adopt a novel mathematical model, namely, the maximal entropy random walk (MERW) to... View full abstract»

• ### Significant Body Point Labeling and Tracking

Publication Year: 2014, Page(s):1673 - 1685
Cited by:  Papers (4)
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In this paper, a method is presented to label and track anatomical landmarks (e.g., head, hand/arm, feet), which are referred to as significant body points (SBPs), using implicit body models. By considering the human body as an inverted pendulum model, ellipse fitting and contour moments are applied to classify it as being in Stand, Sit, or Lie posture. A convex hull of the silhouette contour is u... View full abstract»

• ### A Framework for Biodynamic Feedthrough Analysis—Part I: Theoretical Foundations

Publication Year: 2014, Page(s):1686 - 1698
Cited by:  Papers (5)
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Biodynamic feedthrough (BDFT) is a complex phenomenon, which has been studied for several decades. However, there is little consensus on how to approach the BDFT problem in terms of definitions, nomenclature, and mathematical descriptions. In this paper, a framework for biodynamic feedthrough analysis is presented. The goal of this framework is two-fold. First, it provides some common ground betwe... View full abstract»

• ### A Framework for Biodynamic Feedthrough Analysis—Part II: Validation and Application

Publication Year: 2014, Page(s):1699 - 1710
Cited by:  Papers (3)
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Biodynamic feedthrough (BDFT) is a complex phenomenon, that has been studied for several decades. However, there is little consensus on how to approach the BDFT problem in terms of definitions, nomenclature, and mathematical descriptions. In this paper, the framework for BDFT analysis, as presented in Part I of this dual publication, is validated and applied. The goal of this framework is twofold.... View full abstract»

• ### 2014 IEEE membership application

Publication Year: 2014, Page(s):1711 - 1712
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• ### IEEE Systems, Man, and Cybernetics Society Information

Publication Year: 2014, Page(s): C3
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• ### IEEE Transactions on Cybernetics information for authors

Publication Year: 2014, 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