# IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

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Displaying Results 1 - 25 of 27

Publication Year: 2008, Page(s):C1 - 1431
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• ### IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics publication information

Publication Year: 2008, Page(s): C2
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• ### Two Criteria for Model Selection in Multiclass Support Vector Machines

Publication Year: 2008, Page(s):1432 - 1448
Cited by:  Papers (17)
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Practical applications call for efficient model selection criteria for multiclass support vector machine (SVM) classification. To solve this problem, this paper develops two model selection criteria by combining or redefining the radius-margin bound used in binary SVMs. The combination is justified by linking the test error rate of a multiclass SVM with that of a set of binary SVMs. ... View full abstract»

• ### Fuzzy Techniques for Subjective Workload-Score Modeling Under Uncertainties

Publication Year: 2008, Page(s):1449 - 1464
Cited by:  Papers (16)
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This paper deals with the development of a computer model to estimate the subjective workload score of individuals by evaluating their heart-rate (HR) signals. The identification of a model to estimate the subjective workload score of individuals under different workload situations is too ambitious a task because different individuals (due to different body conditions, emotional states, age, gende... View full abstract»

• ### Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation

Publication Year: 2008, Page(s):1465 - 1475
Cited by:  Papers (11)
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Recently, much work has been done in multiple object tracking on the one hand and on reference model adaptation for a single-object tracker on the other side. In this paper, we do both tracking of multiple objects (faces of people) in a meeting scenario and online learning to incrementally update the models of the tracked objects to account for appearance changes during tracking. Additionally, we ... View full abstract»

• ### Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals

Publication Year: 2008, Page(s):1476 - 1485
Cited by:  Papers (21)
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An effective subject recognition approach is designed in this paper, using ground reaction force (GRF) measurements of human gait. The method is a three-stage procedure: 1) The original GRF data are translated through wavelet packet (WP) transform in the time-frequency domain. Using a fuzzy-set-based criterion, we determine an optimal WP decomposition, involving feature subspaces with distinguishi... View full abstract»

• ### Evolving Fuzzy Rules for Relaxed-Criteria Negotiation

Publication Year: 2008, Page(s):1486 - 1500
Cited by:  Papers (14)
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In the literature on automated negotiation, very few negotiation agents are designed with the flexibility to slightly relax their negotiation criteria to reach a consensus more rapidly and with more certainty. Furthermore, these relaxed-criteria negotiation agents were not equipped with the ability to enhance their performance by learning and evolving their relaxed-criteria negotiation rules. The ... View full abstract»

• ### Head Yaw Estimation From Asymmetry of Facial Appearance

Publication Year: 2008, Page(s):1501 - 1512
Cited by:  Papers (21)
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This paper proposes a novel method to estimate the head yaw rotations based on the asymmetry of 2-D facial appearance. In traditional appearance-based pose estimation methods, features are typically extracted holistically by subspace analysis such as principal component analysis, linear discriminant analysis (LDA), etc., which are not designed to directly model the pose variations. In this paper, ... View full abstract»

• ### PARM—An Efficient Algorithm to Mine Association Rules From Spatial Data

Publication Year: 2008, Page(s):1513 - 1524
Cited by:  Papers (11)
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Association rule mining, originally proposed for market basket data, has potential applications in many areas. Spatial data, such as remote sensed imagery (RSI) data, is one of the promising application areas. Extracting interesting patterns and rules from spatial data sets, composed of images and associated ground data, can be of importance in precision agriculture, resource discovery, and other ... View full abstract»

• ### Design and Analysis of High-Capacity Associative Memories Based on a Class of Discrete-Time Recurrent Neural Networks

Publication Year: 2008, Page(s):1525 - 1536
Cited by:  Papers (57)
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This paper presents a design method for synthesizing associative memories based on discrete-time recurrent neural networks. The proposed procedure enables both hetero- and autoassociative memories to be synthesized with high storage capacity and assured global asymptotic stability. The stored patterns are retrieved by feeding probes via external inputs rather than initial conditions. As typical re... View full abstract»

• ### A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation

Publication Year: 2008, Page(s):1537 - 1548
Cited by:  Papers (61)
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This paper proposes a type-2 self-organizing neural fuzzy system (T2SONFS) and its hardware implementation. The antecedent parts in each T2SONFS fuzzy rule are interval type-2 fuzzy sets, and the consequent part is of Mamdani type. Using interval type-2 fuzzy sets in T2SONFS enables it to be more robust than type-1 fuzzy systems. T2SONFS learning consists of structure and parameter identification.... View full abstract»

• ### On Hybrid Impulsive and Switching Neural Networks

Publication Year: 2008, Page(s):1549 - 1560
Cited by:  Papers (39)
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This paper formulates and studies a model of hybrid impulsive and switching Hopfield neural networks (NNs). Using switching Lyapunov functions and a generalized Halanay inequality, some general criteria, which characterize the impulse and switching effects in aggregated form, for asymptotic and exponential stability of such NNs with arbitrary and conditioned impulsive switching are established. Se... View full abstract»

• ### Fractional Fuzzy Adaptive Sliding-Mode Control of a 2-DOF Direct-Drive Robot Arm

Publication Year: 2008, Page(s):1561 - 1570
Cited by:  Papers (78)
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This paper presents a novel parameter adjustment scheme to improve the robustness of fuzzy sliding-mode control achieved by the use of an adaptive neuro-fuzzy inference system (ANFIS) architecture. The proposed scheme utilizes fractional-order integration in the parameter tuning stage. The controller parameters are tuned such that the system under control is driven toward the sliding regime in the... View full abstract»

• ### Learning Inverse Kinematics: Reduced Sampling Through Decomposition Into Virtual Robots

Publication Year: 2008, Page(s):1571 - 1577
Cited by:  Papers (12)
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We propose a technique to speedup the learning of the inverse kinematics of a robot manipulator by decomposing it into two or more virtual robot arms. Unlike previous decomposition approaches, this one does not place any requirement on the robot architecture, and thus, it is completely general. Parametrized self-organizing maps are particularly adequate for this type of learning, and permit compar... View full abstract»

• ### Visual Tracker Using Sequential Bayesian Learning: Discriminative, Generative, and Hybrid

Publication Year: 2008, Page(s):1578 - 1591
Cited by:  Papers (11)
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This paper presents a novel solution to track a visual object under changes in illumination, viewpoint, pose, scale, and occlusion. Under the framework of sequential Bayesian learning, we first develop a discriminative model-based tracker with a fast relevance vector machine algorithm, and then, a generative model-based tracker with a novel sequential Gaussian mixture model algorithm. Finally, we ... View full abstract»

• ### Prioritizing Point-Based POMDP Solvers

Publication Year: 2008, Page(s):1592 - 1605
Cited by:  Papers (11)
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Scaling up of partially observable Markov decision process (POMDP) solvers toward realistic applications is largely due to point-based methods that quickly converge to an approximate solution for medium-sized domains. These algorithms compute a value function for a finite reachable set of belief points, using backup operations. Point-based algorithms differ on the selection of the set of belief po... View full abstract»

• ### Reliable $H_{infty}$ Nonuniform Sampling Fuzzy Control for Nonlinear Systems With Time Delay

Publication Year: 2008, Page(s):1606 - 1613
Cited by:  Papers (31)
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The problem of reliable H infin nonuniform sampling fuzzy control for nonlinear systems with time delay is investigated in this paper. Utilizing the input delay approach and the descriptor model transformation, an equivalent continuous-time generalized Takagi-Sugeno fuzzy system is obtained. Sufficient conditions for the existence of state feedback controller are derived in terms... View full abstract»

• ### Discriminant Learning Analysis

Publication Year: 2008, Page(s):1614 - 1625
Cited by:  Papers (15)
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Linear discriminant analysis (LDA) as a dimension reduction method is widely used in classification such as face recognition. However, it suffers from the small sample size (SSS) problem when data dimensionality is greater than the sample size, as in images where features are high dimensional and correlated. In this paper, we propose to address the SSS problem in the framework of statistical learn... View full abstract»

• ### Simultaneous Structure Identification and Fuzzy Rule Generation for Takagi–Sugeno Models

Publication Year: 2008, Page(s):1626 - 1638
Cited by:  Papers (18)
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One of the main attractions of a fuzzy rule-based system is its interpretability which is hindered severely with an increase in the dimensionality of the data. For high-dimensional data, the identification of fuzzy rules also possesses a big challenge. Feature selection methods often ignore the subtle nonlinear interaction that the features and the learning system can have. To address this problem... View full abstract»

• ### Robust Regularized Kernel Regression

Publication Year: 2008, Page(s):1639 - 1644
Cited by:  Papers (20)
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Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual form, which is then solved by some quadratic program solver consequently. In this correspondence, we propose a new formulation for robust regularized kernel regression under the theoretical framework of regularization netw... View full abstract»

• ### Partially Observable Markov Decision Processes and Performance Sensitivity Analysis

Publication Year: 2008, Page(s):1645 - 1651
Cited by:  Papers (8)
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The sensitivity-based optimization of Markov systems has become an increasingly important area. From the perspective of performance sensitivity analysis, policy-iteration algorithms and gradient estimation methods can be directly obtained for Markov decision processes (MDPs). In this correspondence, the sensitivity-based optimization is extended to average reward partially observable MDPs (POMDPs)... View full abstract»

• ### Effective Feature Extraction in High-Dimensional Space

Publication Year: 2008, Page(s):1652 - 1656
Cited by:  Papers (24)
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This correspondence first kernalizes the region covariance matrix and formalizes the similarity metric using four block matrices. The effectiveness of the proposed methods is proven with experiments on face recognition. View full abstract»

• ### Fuzzy Control System Design via Fuzzy Lyapunov Functions

Publication Year: 2008, Page(s):1657 - 1661
Cited by:  Papers (35)
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This correspondence deals with the problems of analysis and design for a class of continuous-time Takagi-Sugeno fuzzy control systems. Sufficient conditions for the stability of fuzzy control systems are derived based on a fuzzy Lyapunov function. Both parallel and nonparallel distributed compensation controllers are considered. Sufficient conditions for the solvability of the controller design pr... View full abstract»

• ### 2009 ICMLC ICWAPR

Publication Year: 2008, Page(s): 1662
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• ### 2008 Index IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) Vol. 38

Publication Year: 2008, Page(s):1663 - 1682
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## Aims & Scope

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics focuses on cybernetics, including communication and control across humans, machines and organizations at the structural or neural level

This Transactions ceased production in 2012. The current retitled publication is IEEE Transactions on Cybernetics.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College