Shi-Yin Qin

Learn More
The repair of hair-occluded information is one of the key problems for the precise segmentation and analysis of the skin malignant melanoma image with hairs. Aimed at dermoscopy images of pigmented skin lesions, an unsupervised repair algorithm for the hair-occluded information is proposed in this paper. This algorithm includes three steps: first, the(More)
Robot localization can be considered as a cognition process that takes place during a robot estimating metric coordinates with vision. It provides a natural method for revealing the true autonomy of robots. In this paper, a kernel principal component analysis (PCA)-regularized least-square algorithm for robot localization with uncalibrated monocular visual(More)
Most of the classifiers suffer from the curse of dimensionality during classification of high dimensional image and non-image data. In this paper, we introduce a new supervised nonlinear dimensionality reduction (S-NLDR) algorithm called supervised dimensionality reduction based on evolution strategy (SDRES) for both image and non-image data. The SDRES(More)
— Object Modeling Technique is widely applied in the field of software engineering; and in this paper we applied this technique to model a mobile robot including its behaviors and interactions with environment. The paper first describes key background knowledge about object oriented analysis in software engineering, behavior based robotics and their(More)
During recent years a special class of nonlinear dimensionality reduction (NLDR) methods known as manifold learning methods, obtain a lot of attention for low dimension representation of high dimensional data. Most commonly used NLDR methods like Isomap, locally linear embedding, local tangent space alignment, Hessian locally linear embedding, Laplacian(More)
  • 1