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This paper focuses on tag recommendation. In many tagging systems, tags are highly interdependent. Conventional methods do not exploit dependencies between tags when computing the relevance score of a candidate tag for a new resource. In this paper, we take into consideration the relationship between candidate tags and propose a continuous conditional random fields (CRF) model for tag recommendation,...
The goal for reformation of higher education is to achieve a superior teaching quality. The spring and the development of research-oriented universities, puts forward new requests on teaching method and cultivation model. And it drives ahead the exploration and practice of research-oriented teaching method and cultivation model. Structural chemistry comprises a central body of knowledge that describes,...
Latent Dirichlet Allocation (LDA) is a generative model employing the symmetry Dirichlet distribution as prior of the topic-words' distributions to implement model smoothing. When LDA is applied to text classification, smoothing is essential to classification performance. In this paper, we propose a feature-enhanced smoothing method in the idea that words not appeared in the training corpus can help...
The drawbacks of commonly applied color treatment based on the HSI space model have been identified as being the additional computation load for color model conversion, which results in compromising the real-time traffic sign detection. The relevant analysis shows that the major factor adversely affecting the segmentation of traffic signs is closely associated with the color complexity. To reduce...
In this paper, we employ Delaunay triangulation techniques to reconstruct high quality visual hulls. From a set of calibrated images, the algorithm first computes a sparse set of initial points with a dandelion model and builds a Delaunay triangulation restricted to the visual hull surface. It then iteratively refines the triangulation by inserting new sampling points, which are the intersections...
A novel four degree of freedom (four-DOF) motion system for validation platform of driverless vehicle has been proposed. This motion system consists of four primary components-a turn table, a three-DOF parallel manipulator, an active platform and a road surface simulation subsystem-which are described in detail in the following sections. Kinematics solution of this motion system has been derived to...
A novel robust network design framework supporting critical distributed computing applications over WDM networks is studied, taking into consideration concurrent and multi-layer failures and their impact on a large number of distributed computing applications.
A novel optimization problem of jointly provisioning both network resources and computing resources for distributed computing applications over WDM networks is studied, with the objective being the revenue maximization.
Image segmentation is a crucial step in most computer vision tasks. We propose a new unsupervised fuzzy Bayesian image segmentation method using fuzzy Markov random fields (FMRFs). FRMF is known to provide improved segmentation results when compared to the "hard" MRF method. Typically, both hard and fuzzy MRF models have two groups of parameters to be estimated: the MRF parameters and class...
This paper considers the minimax design problem in approximately linear multiresponse regression models. The difference between the fitted linear models and the true responses is a vector of non-linear contaminations restricted by a bound on its L_2 norm in the design region. We derive a theory to guide in the construction of designs which minimize the maximum loss. The minimax design is found for...
By introducing "best practices" as standard process models, business process standardization and reengineering have assisted in achieving the efficiency of the project development. However, they have also resulted in many problems because a standard model has limited flexibility to suit different practices of different projects. This paper presents a Task-Based Modeling method (TBM) for...
Improved genetic algorithm was used to improve the performance of FBG sensors in a wavelength-division multiplexed sensor network. Simulation and experiment shows that compute speed and capability of multiplexing are enhanced, and the measurement range of sensors in FBG sensor network is increased while using improved genetic algorithms with proper parameters.
In this paper, how to use DNA genetic algorithm to solve stochastic integer programming expected value models is discussed. Since DNA genetic algorithm has the merits of plentiful coding, and decoding, conveying complex knowledge flexibly. These merits and the technique of stochastic simulation are combined, which for estimating the random variables of stochastic integer programming expected value...
Data-intensive Grid applications require huge data transferring between multiple geographically separated computing nodes where computing tasks are executed. For a future WDM network to efficiently support this type of emerging applications, traditional approaches to establishing lightpaths between given source destination pairs are not sufficient because a computing task may be executed on any one...
In order to calculate the overvoltage of transformer windings under the very fast transient overvoltages (VFTOs) more efficiently, a fast time-domain algorithm is presented based on the compact finite difference (CFD) and the backward differentiation formulas (BDF) in this paper, in which a hybrid model is used consisting of multi-conductor transmission-line (MTL) and equivalent frequency-dependent...
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