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In multiple instance learning problems, patterns are often given as bags and each bag consists of some instances. Most of existing research in the area focuses on multiple instance classification and multiple instance regression, while very limited work has been conducted for multiple instance clustering (MIC). This paper formulates a novel framework, maximum margin multiple instance clustering (M...
The ν-support vector machine (ν-SVM) for classification has the advantage of using a parameter ν on controlling the number of support vectors. However, comparing to regular C-SVM, its formulation is more complicated because of having an additional inequality so up to now there are no exact and effective methods for incremental ν-SVM learning. In this paper, based on the truth that the additional inequality...
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