Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3262351
Abstract: Few-shot image classification aims at exploring transferable features from base classes to recognize images of the unseen novel classes with only a few labeled images. Existing methods usually compare the support features and query features,… read more here.
Keywords: existing methods; sinkhorn distance; shot image; distance ... See more keywords
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3267126
Abstract: Social network alignment, aiming at linking identical identities across different social platforms, is a fundamental task in social graph mining. Most existing approaches are supervised models and require a large number of manually labeled data,… read more here.
Keywords: social network; sinkhorn distance; model; network alignment ... See more keywords