2017
Zero Shot Learning via Multi-Scale Manifold Regularization
CVPR 2017poster
We address zero-shot learning using a new manifold alignment framework based on a localized multi-scale transform on graphs. Our inference approach includes a smoothness criterion for a function mapping nodes on a graph (visual representation) onto a linear space (semantic representation), which we…