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In this paper, we construct a unified framework for dimensionality reduction, for simplicity we call it essential kernel principal component analysis (EKPCA). Some of well-known dimensionality reduction methods, such as kernel principal component analysis, locally linear embedding, Laplacian eigenmaps, Isomaps, diffusion maps are subject to this framework.
A technique utilizing an entropy measure is developed for automatically tuning the segmentation of screening mammograms by minimum spanning trees (MST). The lack of such technique has been a major obstacle in previous work to segment mammograms for registration and applying mass detection algorithms. The proposed method is tested on two sets of mammograms: a set of 55 mammograms chosen from a publicly...
The paper proposes an architecture for heterogeneous network platform based on adaptation layer according to service capability requirements and characteristics of modern service industry. In order to shield the diversity of heterogeneous networks to provide open interfaces in the adaptation layer, an abstract method of service capability is proposed to get a set of SCF components and sub-platforms...
A capillary tube is a common expansion device widely used in small-scale refrigeration and air conditioning systems. Generalized correlation method for refrigerant flow rate through adiabatic capillary tubes is developed by combining dimensional analysis and adaptive neuron-fuzzy inference system (ANFIS).Dimensional analysis is utilized to provide the generalized dimensionless parameters and reduce...
An adaptive location management scheme, called as MPA (Mobility Pattern Adaptive) scheme is proposed for the multi-beam GMSS (Geostationary Mobile Satellite System). Compared with the traditional schemes applied in the terrestrial mobile communication systems, a restraining updating strategy will be applied to the low velocity MES (Mobile Earth Station). Additionally, based on the information theory...
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