A Survey on Concept Factorization: From Shallow to Deep Representation Learning

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Abstract:

The quality of learned features by representation learning determines the performance of learning algorithms and the related application tasks (such as high-dimensional data clustering). As a relatively new paradigm for representation learning, Concept Factorization (CF) has attracted a great deal of interests in the areas of machine le...More

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