Zero-Shot Learning via Robust Latent Representation and Manifold Regularization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2881926
Abstract: Zero-shot learning (ZSL) for visual recognition aims to accurately recognize the objects of unseen classes through mapping the visual feature to an embedding space spanned by class semantic information. However, the semantic gap across visual… read more here.
Keywords: representation; robust latent; latent representation; shot learning ... See more keywords
Robust Latent Subspace Learning for Image Classification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2693221
Abstract: This paper proposes a novel method, called robust latent subspace learning (RLSL), for image classification. We formulate an RLSL problem as a joint optimization problem over both the latent SL and classification model parameter predication,… read more here.
Keywords: classification; latent subspace; robust latent; subspace learning ... See more keywords