Abstract: Sparse additive models are an attractive choice in circumstances calling for modelling flexibility in the face of high dimensionality. We study the signal detection problem and establish the ...
Abstract: Generalized zero-shot learning (GZSL) requires that models are able to recognize classes they were trained on, and new classes they haven't seen before. Feature-generation approaches are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback