Dimensionality Reduction using Similarity-induced Embeddings

18 Jun 2017 Nikolaos Passalis Anastasios Tefas

The vast majority of Dimensionality Reduction (DR) techniques rely on second-order statistics to define their optimization objective. Even though this provides adequate results in most cases, it comes with several shortcomings... (read more)

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