Ant colony algorithm is a more effective way of solving traveling salesman problem (TSP). Ant colony algorithm adopts the distributed parallel computing mechanism;and it is easy to combine with other methods. Furtherm...
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In this paper, we proposed a new image fusion scheme on spatial domain. The interest of the scheme is its real time. The framework contains two steps: saliency detection and coefficient selection based on the principl...
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Medoids-based fuzzy relational clustering generates clusters of objects based on relational data, which records pairwise similarity or dissimilarities among objects. Compared with single-medoid based approaches, multi...
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In this paper, we investigate the problem of evaluating the performance of classification models. First of all we propose the concept of weighted correct pair map. Then based on the weighted correct pair map, we propo...
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In this paper, we investigate the problem of evaluating the performance of classification models. First of all we propose the concept of weighted correct pair map. Then based on the weighted correct pair map, we proposed a new evaluation measure. The attractive features of the measure are that it is insensitive to imbalanced class distributions and discriminating enough. Experimental results demonstrate that the proposed measure is reliable. The work presented in this paper may stimulate new research in classification model designing, such as designing new optimization-based classification or ranking models.
Due to the limited computing resource on mobile devices, it is more difficult to get semantically relevant results from a large dataset in time in a mobile image retrieving system, compared with normal content based i...
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In this paper, we propose an iris recognition algorithm based on probabilistic features. At the image preprocessing step, we do many experiments on iris segmentation in order to minimize the negative influence on reco...
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In this paper, we propose an iris recognition algorithm based on probabilistic features. At the image preprocessing step, we do many experiments on iris segmentation in order to minimize the negative influence on recognition caused by eyelash and eyelid. As different segmentation angle has different results, we have determined an ideal angle for further recognition. At the recognition step, iris is transformed into frequency domain by using Log Gabor filters. Then raw features are extracted. Probabilistic features, with two forms of distribution, random distribution and normal distribution, are set of vectors generated from these raw features. At the matching step, the raw features are replaced by the property features. KNN algorithm is used to decide the final result. Experiment results showed that the proposed method can make further improvement of recognition rates and reduce the time consumption significantly.
The cloud platform provides abundant resources and services for users. More and more mobile users began to use the cloud services. They have higher real-time demands on service. The size of traditional virtual machine...
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The cloud platform provides abundant resources and services for users. More and more mobile users began to use the cloud services. They have higher real-time demands on service. The size of traditional virtual machine (VM) operating system is basically large. It will take many resources in deployment and communication process, and always affect the real-time performance of system. To reduce communication overhead and improve deployment speed of VMs, this paper proposes an approach of customized VM image with LFS. LFS can reduce the size of VM image efficiently and enable flexible customization of the VM image by incremental customization. The experimental results show us that the size of VM image generated by the proposed method is smaller than the one generated by kernel tailoring technology in system overhead. Meanwhile it is also faster in running speed.
In this paper, a modified particle swarm optimization(MPSO) algorithm is proposed to solve the reliability redundancy optimization problem. This algorithm modifies the strategy of generating new position of particles....
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In this paper, a modified particle swarm optimization(MPSO) algorithm is proposed to solve the reliability redundancy optimization problem. This algorithm modifies the strategy of generating new position of particles. For each generation solution, the flight velocity of particles is removed. Whereas the new position of each particle is generated by using difference strategy. Moreover, an adaptive parameter is used to ensure diversity of feasible solutions. Experimental results on four benchmark problems demonstrate that the proposed MPSO has better robustness, effectiveness and efficiency than other algorithms reported in literatures for solving the reliability redundancy optimization problem.
A new algorithm combined Eagle Strategy with PSO is proposed. The new algorithm performs by two phases: First Eagle Strategy is used to do global search;Second PSO algorithm is used to do fast local search around a pr...
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The paper aims at tackling the problem of image fusion for panchromatic CT and multispectral CBF images. We proposed a fusion algorithm based on Intensity-hue-saturation (IHS) transform and Discrete Wavelet Transform ...
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The paper aims at tackling the problem of image fusion for panchromatic CT and multispectral CBF images. We proposed a fusion algorithm based on Intensity-hue-saturation (IHS) transform and Discrete Wavelet Transform (DWT) in the paper. We use different fusion rules for different parts of the images. The area energy is adopted to fuse the high frequency parts of the original images. While, for the low frequency parts, weighted averaging is applied. Experimental results show that the proposed algorithm is not only competent for retaining the spatial resolution of the panchromatic image, but also solves the problem of spectral distortions.
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