Abstract—In this paper, an active contour model is proposedfor image segmentation based on multiple distribution on eachregion with adaptive weight between them. The distribution aredrawn from different filtering results of original gray image inthe
This paper presents an ensemble kernel-based active learning method for PPI (Protein-protein interaction) extraction. This ensemble kernel is composed of feature-based kernel and structure-based kernel. Experimental results show that the F-scores of
A simplified simulation method based on the FDTD technique that can handle active devices is proposed. This method well suits the electrical crosstalk analysis of multi-channel integrated, opto-electronic mixed modules. We apply this method to an 8-c
The terminology kID frequency,(w, /D) is proposed after analyzing the 1D active photonic crystal based on the transfer matrix method. The relationship between w/p and the structure parameters of the photonic crystal is investigated.
We present a novel active learning approach for shape cosegmentation based on graph convolutional networks (GCNs). The premise of our approach is to represent the collections of three-dimensional shapes as graph-structured data, where each node in th
In this letter, the theoretical model and rate equations of Ytterbium-doped double-clad fiber amplifiers are introduced. The output performance of fiber amplifiers is analyzed through numerical simulations considering three main factors: active fiber
