Volume 44 Issue 8 • Aug. 2014
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Table of contents
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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Relative Saliency Model over Multiple Images with an Application to Yarn Surface Evaluation
Publication Year: 2014, Page(s):1249 - 1258
Cited by: Papers (5)Saliency models have been developed and widely demonstrated to benefit applications in computer vision and image understanding. In most of existing models, saliency is evaluated within an individual image. That is, saliency value of an item (object/region/pixel) represents the conspicuity of it as compared with the remaining items in the same image. We call this saliency as absolute saliency, whic... View full abstract»
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Feature Selection Inspired Classifier Ensemble Reduction
Publication Year: 2014, Page(s):1259 - 1268
Cited by: Papers (43)Classifier ensembles constitute one of the main research directions in machine learning and data mining. The use of multiple classifiers generally allows better predictive performance than that achievable with a single model. Several approaches exist in the literature that provide means to construct and aggregate such ensembles. However, these ensemble systems contain redundant members that, if re... View full abstract»
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Dominance-Based Ranking Functions for Interval-Valued Intuitionistic Fuzzy Sets
Publication Year: 2014, Page(s):1269 - 1282
Cited by: Papers (4)The ranking of interval-valued intuitionistic fuzzy sets (IvIFSs) is difficult since they include the interval values of membership and nonmembership. This paper proposes ranking functions for IvIFSs based on the dominance concept. The proposed ranking functions consider the degree to which an IvIFS dominates and is not dominated by other IvIFSs. Based on the bivariate framework and the dominance ... View full abstract»
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TOPSIS-Based Consensus Model for Group Decision-Making With Incomplete Interval Fuzzy Preference Relations
Publication Year: 2014, Page(s):1283 - 1294
Cited by: Papers (34)Due to the vagueness of real-world environments and the subjective nature of human judgments, it is natural for experts to estimate their judgements by using incomplete interval fuzzy preference relations. In this paper, based on the technique for order preference by similarity to ideal solution method, we present a consensus model for group decision-making (GDM) with incomplete interval fuzzy pre... View full abstract»
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Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems
Publication Year: 2014, Page(s):1295 - 1313
Cited by: Papers (18)This paper proposes a variation operator, called segment-based search (SBS), to improve the performance of evolutionary algorithms on continuous multiobjective optimization problems. SBS divides the search space into many small segments according to the evolutionary information feedback from the set of current optimal solutions. Two operations, micro-jumping and macro-jumping, are implemented upon... View full abstract»
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A Cluster-Based Differential Evolution With Self-Adaptive Strategy for Multimodal Optimization
Publication Year: 2014, Page(s):1314 - 1327
Cited by: Papers (50)Multimodal optimization is one of the most challenging tasks for optimization. It requires an algorithm to effectively locate multiple global and local optima, not just single optimum as in a single objective global optimization problem. To address this objective, this paper first investigates a cluster-based differential evolution (DE) for multimodal optimization problems. The clustering partitio... View full abstract»
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Deriving a Ranking From Hesitant Fuzzy Preference Relations Under Group Decision Making
Publication Year: 2014, Page(s):1328 - 1337
Cited by: Papers (62)In this paper, we explore the ranking methods with hesitant fuzzy preference relations (HFPRs) in the group decision making environments. As basic elements of hesitant fuzzy sets, hesitant fuzzy elements (HFEs) usually have different numbers of possible values. In order to compute or compare HFEs, we have two principles to normalize them, i.e., the α-normalization and the β-normalization. Based on... View full abstract»
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Evolvable Rough-Block-Based Neural Network and its Biomedical Application to Hypoglycemia Detection System
Publication Year: 2014, Page(s):1338 - 1349
Cited by: Papers (15)This paper focuses on the hybridization technology using rough sets concepts and neural computing for decision and classification purposes. Based on the rough set properties, the lower region and boundary region are defined to partition the input signal to a consistent (predictable) part and an inconsistent (random) part. In this way, the neural network is designed to deal only with the boundary r... View full abstract»
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Synchronization and Adaptive Control of an Array of Linearly Coupled Reaction-Diffusion Neural Networks With Hybrid Coupling
Publication Year: 2014, Page(s):1350 - 1361
Cited by: Papers (75)In this paper, we propose a general array model of coupled reaction-diffusion neural networks with hybrid coupling, which is composed of spatial diffusion coupling and state coupling. By utilizing the Lyapunov functional method combined with the inequality techniques, a sufficient condition is given to ensure that the proposed network model is synchronized. In addition, when the external disturban... View full abstract»
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Density Sensitive Hashing
Publication Year: 2014, Page(s):1362 - 1371
Cited by: Papers (48)Nearest neighbor search is a fundamental problem in various research fields like machine learning, data mining and pattern recognition. Recently, hashing-based approaches, for example, locality sensitive hashing (LSH), are proved to be effective for scalable high dimensional nearest neighbor search. Many hashing algorithms found their theoretic root in random projection. Since these algorithms gen... View full abstract»
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Development and Investigation of a Long-Range Time-of-Flight and Color Imaging System
Publication Year: 2014, Page(s):1372 - 1382
Cited by: Papers (3)Time-of-flight (Tof) imaging based on the photonic mixer device (PMD) or similar ToF imaging solutions has been limited to short distances in the past, due to limited lighting devices and low sensitivity of ToF imaging chips. Long-range distance measurements are typically the domain of laser scanning systems. In this paper, PMD based medium- and long-range lighting devices working together with a ... View full abstract»
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Touchscreen Everywhere: On Transferring a Normal Planar Surface to a Touch-Sensitive Display
Publication Year: 2014, Page(s):1383 - 1396
Cited by: Papers (13)We address how a human-computer interface with small device size, large display, and touch-input facility can be made possible by a mere projector and camera. The realization is through the use of a properly embedded structured light sensing scheme that enables a regular light-colored table surface to serve the dual roles of both a projection screen and a touch-sensitive display surface. A random ... View full abstract»
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Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation
Publication Year: 2014, Page(s):1397 - 1407
Cited by: Papers (65)The Sylvester equation is often encountered in mathematics and control theory. For the general time-invariant Sylvester equation problem, which is defined in the domain of complex numbers, the Bartels-Stewart algorithm and its extensions are effective and widely used with an O(n3) time complexity. When applied to solving the time-varying Sylvester equation, the computation burden increa... View full abstract»
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Feature Correlation Hypergraph: Exploiting High-order Potentials for Multimodal Recognition
Publication Year: 2014, Page(s):1408 - 1419
Cited by: Papers (94)In computer vision and multimedia analysis, it is common to use multiple features (or multimodal features) to represent an object. For example, to well characterize a natural scene image, we typically extract a set of visual features to represent its color, texture, and shape. However, it is challenging to integrate multimodal features optimally. Since they are usually high-order correlated, e.g.,... View full abstract»
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A Robust Functional-Data-Analysis Method for Data Recovery in Multichannel Sensor Systems
Publication Year: 2014, Page(s):1420 - 1431
Cited by: Papers (2)Multichannel sensor systems are widely used in condition monitoring for effective failure prevention of critical equipment or processes. However, loss of sensor readings due to malfunctions of sensors and/or communication has long been a hurdle to reliable operations of such integrated systems. Moreover, asynchronous data sampling and/or limited data transmission are usually seen in multiple senso... View full abstract»
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Robust Subspace Segmentation Via Low-Rank Representation
Publication Year: 2014, Page(s):1432 - 1445
Cited by: Papers (42)Recently the low-rank representation (LRR) has been successfully used in exploring the multiple subspace structures of data. It assumes that the observed data is drawn from several low-rank subspaces and sometimes contaminated by outliers and occlusions. However, the noise (low-rank representation residual) is assumed to be sparse, which is generally characterized by minimizing the l<sub>1&l... View full abstract»
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Fault Detection in Finite Frequency Domain for Takagi-Sugeno Fuzzy Systems With Sensor Faults
Publication Year: 2014, Page(s):1446 - 1458
Cited by: Papers (62)This paper is concerned with the fault detection (FD) problem in finite frequency domain for continuous-time Takagi-Sugeno fuzzy systems with sensor faults. Some finite-frequency performance indices are initially introduced to measure the fault/reference input sensitivity and disturbance robustness. Based on these performance indices, an effective FD scheme is then presented such that the generate... View full abstract»
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Low-Level Feature Extraction for Edge Detection Using Genetic Programming
Publication Year: 2014, Page(s):1459 - 1472
Cited by: Papers (22)Edge detection is a subjective task. Traditionally, a moving window approach is used, but the window size in edge detection is a tradeoff between localization accuracy and noise rejection. An automatic technique for searching a discriminated pixel's neighbors to construct new edge detectors is appealing to satisfy different tasks. In this paper, we propose a genetic programming (GP) system to auto... View full abstract»
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Hierarchical Modularization Of Biochemical Pathways Using Fuzzy-C Means Clustering
Publication Year: 2014, Page(s):1473 - 1484
Cited by: Papers (9)Biological systems that are representative of regulatory, metabolic, or signaling pathways can be highly complex. Mathematical models that describe such systems inherit this complexity. As a result, these models can often fail to provide a path toward the intuitive comprehension of these systems. More coarse information that allows a perceptive insight of the system is sometimes needed in combinat... View full abstract»
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IEEE Systems, Man, and Cybernetics Society Information
Publication Year: 2014, Page(s): C3|
PDF (100 KB)
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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.
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