Partial-label learning (PLL) relies on a key assumption that the true la...
Recommendation efficiency and data sparsity problems have been regarded ...
Semantic segmentation, which aims to acquire a detailed understanding of...
Zero-Shot Learning (ZSL) aims to learn recognition models for recognizin...
Affine equivalence classes of Boolean functions has many applications in...
This paper presents a new compact canonical-based algorithm to solve the...