Zhiying Tan

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In the kernel principal component analysis (KPCA) and manifold learning to reduce the dimensionality, the training set plays a very important role. In this paper, we develop a novel method to select the training samples to reduce the computation of feature extraction and to improve the accuracy of image restoration. The developed method consider the density(More)
A numerical model of typical adaptive optics correction system is described in the report. Which firstly adopt the idea of Object-Oriented to design and to implement the numerical simulation of adaptive optics correction system in domestic. The developed computer application corresponding to the model of adaptive optics (AO) system includes all the main(More)
Newly emerging influenza viruses continue to threaten public health. A rapid determination of the host range of newly discovered influenza viruses would assist in early assessment of their risk. Here, we attempted to predict the host of influenza viruses using the Support Vector Machine (SVM) classifier based on the word vector, a new representation and(More)
The object-oriented simulation software of an adaptive optics system is used to evaluate the performance of the adaptive optics system. The software includes distorted wavefront correction and turbulence simulation. An object-oriented adaptive optics system framework is proposed based on the features of adaptive optics systems simulation. Numerical(More)
In this paper, we propose a two-stage multi-task learning representation method for the classification of synthetic aperture radar (SAR) target images. The first stage of the proposed approach uses multi-features joint sparse representation learning, modeled as a ℓ 2 , 1 -norm regularized multi-task sparse learning problem, to find an effective subset of(More)
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