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In past decades, pattern classification has been intensively explored in machine learning. With the in-depth exploration of machine learning in various applications, new challenges arise, which requests researchers to move from data-driven to domain-driven models by integrating domain knowledge, and to move from static to dynamic models to adapt to the changing environment. This paper proposes an...
In many real applications such as target detection and classification, there exist severe overlaps between different classes due to various reasons. Traditional classifiers with crisp decision often produce high rates of mis-classifications for patterns in overlapping regions. In this paper, we propose to use soft decision strategy with an optimized overlapping region detection to address the overlapping...
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