A probabilistic constrained clustering for transfer learning and image category discovery

28 Jun 2018Yen-Chang HsuZhaoyang LvJoel SchlosserPhillip OdomZsolt Kira

Neural network-based clustering has recently gained popularity, and in particular a constrained clustering formulation has been proposed to perform transfer learning and image category discovery using deep learning. The core idea is to formulate a clustering objective with pairwise constraints that can be used to train a deep clustering network; therefore the cluster assignments and their underlying feature representations are jointly optimized end-to-end... (read more)

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