Feature learning using Generalized Extreme Value distribution based K-means clustering
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[1] Arnold W. M. Smeulders,et al. The Distribution Family of Similarity Distances , 2007, NIPS.
[2] Anderson Rocha,et al. Robust Fusion: Extreme Value Theory for Recognition Score Normalization , 2010, ECCV.
[3] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[4] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.
[5] Alain Trémeau,et al. Extreme value theory based text binarization in documents and natural scenes , 2010 .
[6] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[7] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[8] George C. Tseng,et al. Penalized and weighted K-means for clustering with scattered objects and prior information in high-throughput biological data , 2007, Bioinform..