Learning Discriminative Subspace Models for Weakly Supervised Face Detection
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2017.2753319
Abstract: Learning object detection models from weakly labeled data is an important topic in computer vision. Among various types of weak annotations, image-level object labeling is a natural one that tells the existence, but not the… read more here.
Keywords: detection; models weakly; weakly supervised; learning discriminative ... See more keywords
Multi-Instance Ensemble Learning With Discriminative Bags
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3125040
Abstract: Multi-instance learning (MIL) is more general and challenging than traditional supervised learning in that labels are given at the bag level. The popular feature mapping approaches convert each bag into an instance in the new… read more here.
Keywords: ensemble learning; instance ensemble; multi instance; learning discriminative ... See more keywords
Jointly Learning the Discriminative Dictionary and Projection for Face Recognition
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/1527965
Abstract: Recently, dictionary learning has become an active topic. However, the majority of dictionary learning methods directly employs original or predefined handcrafted features to describe the data, which ignores the intrinsic relationship between the dictionary and… read more here.
Keywords: dictionary projection; jointly learning; learning discriminative; discriminative dictionary ... See more keywords