Volume 45 Issue 3 • March 2015
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Table of contents
Publication Year: 2015, Page(s):C1 - 357|
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IEEE Transactions on Cybernetics publication information
Publication Year: 2015, Page(s): C2|
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Texture Classification and Retrieval Using Shearlets and Linear Regression
Publication Year: 2015, Page(s):358 - 369
Cited by: Papers (42)Statistical modeling of wavelet subbands has frequently been used for image recognition and retrieval. However, traditional wavelets are unsuitable for use with images containing distributed discontinuities, such as edges. Shearlets are a newly developed extension of wavelets that are better suited to image characterization. Here, we propose novel texture classification and retrieval methods that ... View full abstract»
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A Quasi-Dense Matching Approach and its Calibration Application with Internet Photos
Publication Year: 2015, Page(s):370 - 383
Cited by: Papers (3)This paper proposes a quasi-dense matching approach to the automatic acquisition of camera parameters, which is required for recovering 3-D information from 2-D images. An affine transformation-based optimization model and a new matching cost function are used to acquire quasi-dense correspondences with high accuracy in each pair of views. These correspondences can be effectively detected and trac... View full abstract»
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Distributed Soft-Data-Constrained Multi-Model Particle Filter
Publication Year: 2015, Page(s):384 - 394
Cited by: Papers (12)A distributed nonlinear estimation method based on soft-data-constrained multimodel particle filtering and applicable to a number of distributed state estimation problems is proposed. This method needs only local data exchange among neighboring sensor nodes and thus provides enhanced reliability, scalability, and ease of deployment. To make the multimodel particle filtering work in a distributed m... View full abstract»
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Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning
Publication Year: 2015, Page(s):381 - 390
Cited by: Papers (12)We present a framework for image classification that extends beyond the window sampling of fixed spatial pyramids and is supported by a new learning algorithm. Based on the observation that fixed spatial pyramids sample a rather limited subset of the possible image windows, we propose a method that accounts for a comprehensive set of windows densely sampled over location, size, and aspect ratio. A... View full abstract»
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Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships
Publication Year: 2015, Page(s):391 - 403
Cited by: Papers (10)In this paper, we present a new method for fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy-trend logical relationships. Firstly, the proposed method fuzzifies the historical training data of the main factor and the secondary factor into fuzzy sets, respectively, to form two-factors second-order fuzzy logical relat... View full abstract»
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Direct Solution to the Minimal Generalized Pose
Publication Year: 2015, Page(s):404 - 415
Cited by: Papers (1)Pose estimation is a relevant problem for imaging systems whose applications range from augmented reality to robotics. In this paper we propose a novel solution for the minimal pose problem, within the framework of generalized camera models and using a planar homography. Within this framework and considering only the geometric elements of the generalized camera models, an imaging system can be mod... View full abstract»
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Boosting for Multi-Graph Classification
Publication Year: 2015, Page(s):416 - 429
Cited by: Papers (38)In this paper, we formulate a novel graph-based learning problem, multi-graph classification (MGC), which aims to learn a classifier from a set of labeled bags each containing a number of graphs inside the bag. A bag is labeled positive, if at least one graph in the bag is positive, and negative otherwise. Such a multi-graph representation can be used for many real-world applications, such as webp... View full abstract»
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Key Point Detection by Max Pooling for Tracking
Publication Year: 2015, Page(s):430 - 438
Cited by: Papers (7)Inspired by the recent image feature learning work, we propose a novel key point detection approach for object tracking. Our approach can select mid-level interest key points by max pooling over the local descriptor responses from a set of filters. Linear filters are first learned from targets in first frames. Then max pooling is performed over data driven spatial supporting field to detect discri... View full abstract»
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Controller Design for TS Models Using Delayed Nonquadratic Lyapunov Functions
Publication Year: 2015, Page(s):439 - 450
Cited by: Papers (31)In the last few years, nonquadratic Lyapunov functions have been more and more frequently used in the analysis and controller design for Takagi-Sugeno fuzzy models. In this paper, we developed relaxed conditions for controller design using nonquadratic Lyapunov functions and delayed controllers and give a general framework for the use of such Lyapunov functions. The two controller design methods d... View full abstract»
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Collaborative Multifeature Fusion for Transductive Spectral Learning
Publication Year: 2015, Page(s):451 - 461
Cited by: Papers (2)Much existing work of multifeature learning relies on the agreement among different feature types to improve the clustering or classification performance. However, as different feature types could have different data characteristics, such a forced agreement among different feature types may not bring a satisfactory result. We propose a novel transductive learning approach that considers multiple f... View full abstract»
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A Variable Projection Approach for Efficient Estimation of RBF-ARX Model
Publication Year: 2015, Page(s):462 - 471
Cited by: Papers (30)The radial basis function network-based autoregressive with exogenous inputs (RBF-ARX) models have much more linear parameters than nonlinear parameters. Taking advantage of this special structure, a variable projection algorithm is proposed to estimate the model parameters more efficiently by eliminating the linear parameters through the orthogonal projection. The proposed method not only substan... View full abstract»
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A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals—Part II
Publication Year: 2015, Page(s):472 - 482
Cited by: Papers (3)This text provides several applications scenarios of introduced signals' modeling and analysis framework to solve the practical problems. Some of the challenging practical problems related to signal/data processing have been formulated in a manner that the negative free energy maximizing filtering and variational information maximizing analysis algorithms of Kumar et al. could be directly applied ... View full abstract»
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Adaptive NN Tracking Control of Uncertain Nonlinear Discrete-Time Systems With Nonaffine Dead-Zone Input
Publication Year: 2015, Page(s):497 - 505
Cited by: Papers (136)In the paper, an adaptive tracking control design is studied for a class of nonlinear discrete-time systems with dead-zone input. The considered systems are of the nonaffine pure-feedback form and the dead-zone input appears nonlinearly in the systems. The contributions of the paper are that: 1) it is for the first time to investigate the control problem for this class of discrete-time systems wit... View full abstract»
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Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues
Publication Year: 2015, Page(s):492 - 506
Cited by: Papers (4)Detecting deception in interpersonal dialog is challenging since deceivers take advantage of the give-and-take of interaction to adapt to any sign of skepticism in an interlocutor's verbal and nonverbal feedback. Human detection accuracy is poor, often with no better than chance performance. In this investigation, we consider whether automated methods can produce better results and if emphasizing ... View full abstract»
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Adaptive Neural Control for Dual-Arm Coordination of Humanoid Robot With Unknown Nonlinearities in Output Mechanism
Publication Year: 2015, Page(s):507 - 518
Cited by: Papers (42)To achieve an excellent dual-arm coordination of the humanoid robot, it is essential to deal with the nonlinearities existing in the system dynamics. The literatures so far on the humanoid robot control have a common assumption that the problem of output hysteresis could be ignored. However, in the practical applications, the output hysteresis is widely spread; and its existing limits the motion/f... View full abstract»
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Scale and Orientation Invariant Text Segmentation for Born-Digital Compound Images
Publication Year: 2015, Page(s):519 - 533
Cited by: Papers (7)Many recent applications require text segmentation for born-digital compound images. To this end, we propose a coarse-to-fine framework for segmenting texts of arbitrary scales and orientations in born-digital compound images. In the coarse stage, the local image activity measure is designed based upon the variation distribution of characters, to highlight the difference between textual and pictor... View full abstract»
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Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure
Publication Year: 2015, Page(s):534 - 547
Cited by: Papers (16)The classical fuzzy system modeling methods implicitly assume data generated from a single task, which is essentially not in accordance with many practical scenarios where data can be acquired from the perspective of multiple tasks. Although one can build an individual fuzzy system model for each task, the result indeed tells us that the individual modeling approach will get poor generalization ab... View full abstract»
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Online Anomaly Detection in Crowd Scenes via Structure Analysis
Publication Year: 2015, Page(s):548 - 561
Cited by: Papers (46)Abnormal behavior detection in crowd scenes is continuously a challenge in the field of computer vision. For tackling this problem, this paper starts from a novel structure modeling of crowd behavior. We first propose an informative structural context descriptor (SCD) for describing the crowd individual, which originally introduces the potential energy function of particle's interforce in solid-st... View full abstract»
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Graph-Based Sensor Fusion for Classification of Transient Acoustic Signals
Publication Year: 2015, Page(s):562 - 573
Cited by: Papers (12)Advances in acoustic sensing have enabled the simultaneous acquisition of multiple measurements of the same physical event via co-located acoustic sensors. We exploit the inherent correlation among such multiple measurements for acoustic signal classification, to identify the launch/impact of munition (i.e., rockets, mortars). Specifically, we propose a probabilistic graphical model framework that... View full abstract»
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Global Asymptotic Stabilization Using Adaptive Fuzzy PD Control
Publication Year: 2015, Page(s):574 - 582
Cited by: Papers (16)It is well-known that standard adaptive fuzzy control (AFC) can only guarantee uniformly ultimately bounded stability due to inherent fuzzy approximation errors (FAEs). This paper proves that standard AFC with proportional-derivative (PD) control can guarantee global asymptotic stabilization even in the presence of FAEs for a class of uncertain affine nonlinear systems. Variable-gain PD control is... View full abstract»
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IEEE Systems, Man, and Cybernetics Society Information
Publication Year: 2015, Page(s): C3|
PDF (104 KB)
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IEEE Transactions on Cybernetics information for authors
Publication Year: 2015, Page(s): C4|
PDF (108 KB)
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