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Accurate segmentation of breast on MR images is an essential and crucial step for computer-aided breast disease diagnosis and surgical planning. In this paper, an effective approach is proposed for segmenting the breast image into different regions, each corresponding to a different tissue. The segmentation work flow comprises two key steps. Firstly, we use the threshold-based method and morphological...
The incorporation of prior knowledge into SVMs for classification is the key element that allows increasing the performance to many applications. Wu proposed weighted margin support vector machine (WMSVM), the scalability aspect of the approach to handle large data sets still needs much of exploration. In this paper, we describe a generalization of weighted margin multi-class core vector machine (WMMCVM)...
Flight delay early warning can reduce the negative impact of the delay. Determining the delay grade of each interval is essentially a multi-class classification problem. This paper presents a flight delay early warning model based on a fuzzy support vector machine with weighted margin (WMSVM) , which adjust the penalties to samples and the margins between samples and the hyperplane according to the...
Ranking support vector machine (RSVM) learning is equivalent to solving a convex quadratic programming problem. Currently there exists some difficulties for exact online ranking learning. This paper presents an exact and effective method that can solve the online ranking learning problem and shows the feasibility and finite convergence of the algorithm from the perspective of theoretical analysis...
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