In remote sensing researches, the curse of dimensionality is one greatly difficult classification problem. Many studies have demonstrated that multiple classifier systems, such as the random subspace method (RSM), can...
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In remote sensing researches, the curse of dimensionality is one greatly difficult classification problem. Many studies have demonstrated that multiple classifier systems, such as the random subspace method (RSM), can alleviate small sample size and high dimensionality concern and obtain more outstanding and robust results than a single classifier on extensive pattern recognition issues. A dynamic subspace method (DSM) was proposed for constructing component classifiers with adaptive subspaces to adjust the shortcomings of RSM based on re substitution accuracy by applying each classifier. However, the performances of SVMs are based on choosing the proper kernel functions or proper parameters of a kernel function. The objective of this research is to develop a novel ensemble technique based on support vector machines (SVMs) via the optimal kernel method, and propose a novel subspace selection mechanism, named the kernel-based dynamic subspace method (KDSM), to improve DSM on automatically determining dimensionality and selecting component dimensions for diverse subspaces. Experimental results show a sound performance of classification on the famous hyperspectral images, Washington DC Mall.
Physically-based methods are often used to simulate cloth animation. For generating realistic cloth animation, stability and effectiveness are two most important aspects which need to be considered. In cloth animation...
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Physically-based methods are often used to simulate cloth animation. For generating realistic cloth animation, stability and effectiveness are two most important aspects which need to be considered. In cloth animation, the users often need to attach a vertex to make sure the vertex is free collision or reduce the excessive elongation of some edges. Some existing methods directly adjust the particle position or use stiff spring model for the simulation regarding these facts. However, these methods can cause energy loss or system performance degradation. In this paper, we propose a novel method to simulate cloth based on physically-model with constraints. Cloth deformation is solved using a physically-based model, and then constraints are iteratively imposed to avoid over-elongation and penetration. The experiments show that our method is stable and effective, and can generate realistic cloth animations.
Accurate description and analysis of liver vascular system is critical in diagnosis and treatment of liver diseases. Even though there are plenty of researches put their efforts on the acquisition of optimal visual in...
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This paper is devoted to noise suppression in systems for double station observation of meteors, nowadays known as MAIA (Meteor Automatic Imager and Analyzer). The noise analysis based on acquisition of testing video ...
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This paper is devoted to noise suppression in systems for double station observation of meteors, nowadays known as MAIA (Meteor Automatic Imager and Analyzer). The noise analysis based on acquisition of testing video sequences at different lighting conditions and their statistical evaluation were described in our previous paper. The measurement showed that the type of noise generated by the system is signal-independent in a certain illumination range. The noise and image models in the wavelet domain are based on the Generalized Laplacian Model (GLM) and it is the most convenient to estimate the model parameters using the moment method. Furthermore, the noise component may be modeled by the GLM also in the space domain. Overall, we verified that the GLM allows for modeling various types of probability density functions. In the final section of this paper, the performance of the proposed advanced de-noising algorithm is verified on the real data, which were acquired in the Astronomical Institute.
In this paper, a new linear delayed delta operator switched system model is proposed to describe networked control systems with packets dropout and network-induced delays. The plant is a continuous-time system, which ...
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作者:
G. LiW.P. HeathG. HerrmannSchool of Engineering
Computing and Mathematics University of Exeter North Park Road Exeter UK EX4 4QF Control Systems Centre
School of Electrical and Electronic Engineering University of Manchester Sackville Street Building Manchester M13 9PL UK ACTLab
Department of Mechanical Engineering University of Bristol Queens Building University Walk Bristol BS8 1TR UK
Abstract We develop an anti-windup (AW) compensator synthesis approach using Integral Quadratic Constraints (IQC). The synthesis finds the AW compensator that achieves a specified robustness against additive or input ...
Abstract We develop an anti-windup (AW) compensator synthesis approach using Integral Quadratic Constraints (IQC). The synthesis finds the AW compensator that achieves a specified robustness against additive or input multiplicative uncertainty, provided there exists a feasible solution. We also incorporate a performance criterion into the AW compensator synthesis to achieve an appropriate trade-off between the performance and robustness. The efficacy of this approach is demonstrated by a numerical example.
This paper introduces a two-stage Linear Logic based program synthesis approach to automatic RESTful web service composition. The Linear Logic theorem proof is applied at both resource and service invocation method le...
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This paper introduces a two-stage Linear Logic based program synthesis approach to automatic RESTful web service composition. The Linear Logic theorem proof is applied at both resource and service invocation method levels, which greatly improves the searching efficiency and guarantees the correctness and completeness of the service composition. Furthermore, the process calculus is used as formalism for the composition process, which enables the approach to be executable at the business management level. The process calculus is attached to the Linear Logic inference rules in the style of type theory, so the process model is extracted directly from the complete proof. An example is given to show the extraction of a process model from a Linear Logic proof search.
This article deals with the exploitation of magnetic susceptibility artifacts in magnetic resonance imaging (MRI) for the recognition of metallic delivery capsules. The targeted application is a closed-loop position c...
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To improve the classification accuracy of both the conventional Euclidean KNN algorithm and the improved KNN algorithm based on information entropy, this paper proposes an improved KNN algorithm based on multi-attribu...
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