Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection tool

Summary: We present a new heuristic feature-selection (FS) algorithm that integrates in a principled algorithmic framework the three key FS components: relevance, redundancy, and complementarity.Thus, we call it relevance, redundancy, and complementarity trade-off (RRCT).The association strength between each feature and the response and between fea

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Instance-Level Image Translation With a Local Discriminator

Instance-level image translation aims to only translate instance of interest and can be operated more finely and flexibly than object-level and holistic-level image translation.However, current algorithms are not suitable to do it since they employ a holistic or object level’s discriminator that tends to change the whole image or all instanc

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