Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering

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Learning Theory for Distribution Regression (2014, neutral): “…including (i) regression (Ray and Page, 2001; Dooly et al., 2002; Zhou et al., 2009; Kwok and Cheung, 2007), (ii) clustering (Zhang and Zhou, 2009; Zhang et al., 2009, 2011; Chen and Wu, 2012), (iii) ranking (Bergeron et al., 2008; Hu et al., 2008; Bergeron et al., 2012), (iv) outlier…”
Multiple Structure-View Learning for Graph Classification (2018, background): “and examples include: maximum margin [46], scalable multi237 instance learning based on the vector of locally aggregated 238”
Action Recognition with Actons (2013, methodology): “Discussion on the learning method of M(4)IL: For the learning of actons, we compare the proposed M(4)IL with other classical MIL methods such as MI-SVM [1] and M(3)IC [34].”
Effective Active Skeleton Representation for Low Latency Human Action Recognition (2016, unknown): “Input: Output: 1: Initialize for 2: while Imputed labels have changed do 3: Compute the solution by the CCCP ([19], [52]) with imputed labels 4: Compute outputs for all in positive bags 5: Set for 6: for do 7: if then 8: Compute 9: Set 10: end if 11: end for 12: end while”