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

## Filter Results

Displaying Results 1 - 25 of 33

Publication Year: 2012, Page(s):C1 - 965
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• ### IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics publication information

Publication Year: 2012, Page(s): C2
| PDF (38 KB)
• ### Meta-Analysis of the First Facial Expression Recognition Challenge

Publication Year: 2012, Page(s):966 - 979
Cited by:  Papers (75)
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Automatic facial expression recognition has been an active topic in computer science for over two decades, in particular facial action coding system action unit (AU) detection and classification of a number of discrete emotion states from facial expressive imagery. Standardization and comparability have received some attention; for instance, there exist a number of commonly used facial expression ... View full abstract»

• ### Understanding Discrete Facial Expressions in Video Using an Emotion Avatar Image

Publication Year: 2012, Page(s):980 - 992
Cited by:  Papers (36)
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Existing video-based facial expression recognition techniques analyze the geometry-based and appearance-based information in every frame as well as explore the temporal relation among frames. On the contrary, we present a new image-based representation and an associated reference image called the emotion avatar image (EAI), and the avatar reference, respectively. This representation leverages the ... View full abstract»

• ### Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning

Publication Year: 2012, Page(s):993 - 1005
Cited by:  Papers (39)
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This paper presents our response to the first international challenge on facial emotion recognition and analysis. We propose to combine different types of features to automatically detect action units (AUs) in facial images. We use one multikernel support vector machine (SVM) for each AU we want to detect. The first kernel matrix is computed using local Gabor binary pattern histograms and a histog... View full abstract»

• ### In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration

Publication Year: 2012, Page(s):1006 - 1016
Cited by:  Papers (26)
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For facial expression recognition systems to be applicable in the real world, they need to be able to detect and track a previously unseen person's face and its facial movements accurately in realistic environments. A highly plausible solution involves performing a “dense” form of alignment, where 60-70 fiducial facial points are tracked with high accuracy. The problem is that, in pr... View full abstract»

• ### Recognizing Emotions From an Ensemble of Features

Publication Year: 2012, Page(s):1017 - 1026
Cited by:  Papers (11)
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This paper details the authors' efforts to push the baseline of emotion recognition performance on the Geneva Multimodal Emotion Portrayals (GEMEP) Facial Expression Recognition and Analysis database. Both subject-dependent and subject-independent emotion recognition scenarios are addressed in this paper. The approach toward solving this problem involves face detection, followed by key-point ident... View full abstract»

• ### Multilayer Architectures for Facial Action Unit Recognition

Publication Year: 2012, Page(s):1027 - 1038
Cited by:  Papers (13)
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In expression recognition and many other computer vision applications, the recognition performance is greatly improved by adding a layer of nonlinear texture filters between the raw input pixels and the classifier. The function of this layer is typically known as feature extraction. Popular filter types for this layer are Gabor energy filters (GEFs) and local binary patterns (LBPs). Recent work [1... View full abstract»

• ### Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping

Publication Year: 2012, Page(s):1039 - 1052
Cited by:  Papers (33)
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The main objective of this paper is to develop an efficient method for learning and reproduction of complex trajectories for robot programming by demonstration. Encoding of the demonstrated trajectories is performed with hidden Markov model, and generation of a generalized trajectory is achieved by using the concept of key points. Identification of the key points is based on significant changes in... View full abstract»

• ### ${rm H}_{infty}$ State Estimation for Discrete-Time Chaotic Systems Based on a Unified Model

Publication Year: 2012, Page(s):1053 - 1063
Cited by:  Papers (10)
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This paper is concerned with the problem of state estimation for a class of discrete-time chaotic systems with or without time delays. A unified model consisting of a linear dynamic system and a bounded static nonlinear operator is employed to describe these systems, such as chaotic neural networks, Chua's circuits, Hénon map, etc. Based on the H∞ performance analysis of ... View full abstract»

• ### An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot

Publication Year: 2012, Page(s):1064 - 1071
Cited by:  Papers (96)
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Many kinds of power-assist robots have been developed in order to assist self-rehabilitation and/or daily life motions of physically weak persons. Several kinds of control methods have been proposed to control the power-assist robots according to user's motion intention. In this paper, an electromyogram (EMG)-based impedance control method for an upper-limb power-assist exoskeleton robot is propos... View full abstract»

• ### Dynamic Features for Iris Recognition

Publication Year: 2012, Page(s):1072 - 1082
Cited by:  Papers (12)  |  Patents (1)
| | PDF (1004 KB) | HTML

The human eye is sensitive to visible light. Increasing illumination on the eye causes the pupil of the eye to contract, while decreasing illumination causes the pupil to dilate. Visible light causes specular reflections inside the iris ring. On the other hand, the human retina is less sensitive to near infra-red (NIR) radiation in the wavelength range from 800 nm to 1400 nm, but iris detail can s... View full abstract»

• ### Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks

Publication Year: 2012, Page(s):1083 - 1094
Cited by:  Papers (3)
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This paper presents the qualitative nature of communication network operations as abstraction of typical thermodynamic parameters (e.g., order parameter, temperature, and pressure). Specifically, statistical mechanics-inspired models of critical phenomena (e.g., phase transitions and size scaling) for heterogeneous packet transmission are developed in terms of multiple intensive parameters, namely... View full abstract»

• ### A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection

Publication Year: 2012, Page(s):1095 - 1106
Cited by:  Papers (9)
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We propose a new biased discriminant analysis (BDA) using composite vectors for eye detection. A composite vector consists of several pixels inside a window on an image. The covariance of composite vectors is obtained from their inner product and can be considered as a generalization of the covariance of pixels. The proposed composite BDA (C-BDA) method is a BDA using the covariance of composite v... View full abstract»

• ### Combining Tensor Space Analysis and Active Appearance Models for Aging Effect Simulation on Face Images

Publication Year: 2012, Page(s):1107 - 1118
Cited by:  Papers (6)
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Applications of the simulation of adult aging effects are widespread nowadays, whereas the difficulties in certain aspects restrict its development. In this paper, a method is proposed for simulating adult facial aging effects by means of super-resolution. Accounting for the nature of multimodalities in the face image set, multilinear algebra is introduced to represent and process the whole image ... View full abstract»

• ### Multiclass Imbalance Problems: Analysis and Potential Solutions

Publication Year: 2012, Page(s):1119 - 1130
Cited by:  Papers (69)
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Class imbalance problems have drawn growing interest recently because of their classification difficulty caused by the imbalanced class distributions. In particular, many ensemble methods have been proposed to deal with such imbalance. However, most efforts so far are only focused on two-class imbalance problems. There are unsolved issues in multiclass imbalance problems, which exist in real-world... View full abstract»

• ### Prediction of User's Web-Browsing Behavior: Application of Markov Model

Publication Year: 2012, Page(s):1131 - 1142
Cited by:  Papers (26)
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Web prediction is a classification problem in which we attempt to predict the next set of Web pages that a user may visit based on the knowledge of the previously visited pages. Predicting user's behavior while serving the Internet can be applied effectively in various critical applications. Such application has traditional tradeoffs between modeling complexity and prediction accuracy. In this pap... View full abstract»

• ### T–S-Fuzzy-Model-Based Approximation and Controller Design for General Nonlinear Systems

Publication Year: 2012, Page(s):1143 - 1154
Cited by:  Papers (35)
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This paper presents a novel approach to control general nonlinear systems based on Takagi-Sugeno (T-S) fuzzy dynamic models. It is first shown that a general nonlinear system can be approximated by a generalized T-S fuzzy model to any degree of accuracy on any compact set. It is then shown that the stabilization problem of the general nonlinear system can be solved as a robust stabilization proble... View full abstract»

• ### Visual Control for Multirobot Organized Rendezvous

Publication Year: 2012, Page(s):1155 - 1168
Cited by:  Papers (11)
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This paper addresses the problem of visual control of a set of mobile robots. In our framework, the perception system consists of an uncalibrated flying camera performing an unknown general motion. The robots are assumed to undergo planar motion considering nonholonomic constraints. The goal of the control task is to drive the multirobot system to a desired rendezvous configuration relying solely ... View full abstract»

• ### Collective Network of Binary Classifier Framework for Polarimetric SAR Image Classification: An Evolutionary Approach

Publication Year: 2012, Page(s):1169 - 1186
Cited by:  Papers (6)
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Terrain classification over polarimetric synthetic aperture radar (SAR) images has been an active research field where several features and classifiers have been proposed up to date. However, some key questions, e.g., 1) how to select certain features so as to achieve highest discrimination over certain classes?, 2) how to combine them in the most effective way?, 3) which distance metric to apply?... View full abstract»

• ### An Accelerated-Limit-Crossing-Based Multilevel Algorithm for the $p$-Median Problem

Publication Year: 2012, Page(s):1187 - 1202
Cited by:  Papers (2)
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In this paper, we investigate how to design an efficient heuristic algorithm under the guideline of the backbone and the fat, in the context of the p-median problem. Given a problem instance, the backbone variables are defined as the variables shared by all optimal solutions, and the fat variables are defined as the variables that are absent from every optimal solution. Identification of the backb... View full abstract»

• ### Adapting the Right Measures for Pattern Discovery: A Unified View

Publication Year: 2012, Page(s):1203 - 1214
Cited by:  Papers (2)
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This paper presents a unified view of interestingness measures for interesting pattern discovery. Specifically, we first provide three necessary conditions for interestingness measures being used for association pattern discovery. Then, we reveal one desirable property for interestingness measures: the support-ascending conditional antimonotone property (SA-CAMP). Along this line, we prove that th... View full abstract»

• ### Kinematic Bézier Maps

Publication Year: 2012, Page(s):1215 - 1230
Cited by:  Papers (6)
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The kinematics of a robot with many degrees of freedom is a very complex function. Learning this function for a large workspace with a good precision requires a huge number of training samples, i.e., robot movements. In this paper, we introduce the Kinematic Bézier Map (KB-Map), a parameterizable model without the generality of other systems but whose structure readily incorporates some of... View full abstract»

• ### Online Signature Verification Based on Generative Models

Publication Year: 2012, Page(s):1231 - 1242
Cited by:  Papers (8)
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The success of generative models for online signature verification has motivated many research works on this topic. These systems may use hidden Markov models (HMMs) in two different modes: user-specific HMM (US-HMM) and user-adapted universal background models (UBMs) (UA-UBMs). Verification scores can be obtained from likelihood ratios and a distance measure on the Viterbi decoded state sequences... View full abstract»

• ### A Comparison Study of Validity Indices on Swarm-Intelligence-Based Clustering

Publication Year: 2012, Page(s):1243 - 1256
Cited by:  Papers (30)
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Swarm intelligence has emerged as a worthwhile class of clustering methods due to its convenient implementation, parallel capability, ability to avoid local minima, and other advantages. In such applications, clustering validity indices usually operate as fitness functions to evaluate the qualities of the obtained clusters. However, as the validity indices are usually data dependent and are design... View full abstract»

## 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