Learning invariant features using the Transformed Indian Buffet Process

NeurIPS 2010 Joseph L. AusterweilThomas L. Griffiths

Identifying the features of objects becomes a challenge when those features can change in their appearance. We introduce the Transformed Indian Buffet Process (tIBP), and use it to define a nonparametric Bayesian model that infers features that can transform across instantiations... (read more)

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