General Distributed Hash Learning on Image Descriptors for $k$-Nearest Neighbor Search
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2907777
Abstract: Hashing methods have attracted much attention due to their superior time and storage properties for image retrieval. To learn similarity-preserving hash function, most existing methods are designed for the centralized setting. However, the current data… read more here.
Keywords: general distributed; distributed hash; hash learning; model ... See more keywords
Ensemble Pruning Based on Objection Maximization With a General Distributed Framework
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2945116
Abstract: Ensemble pruning, selecting a subset of individual learners from an original ensemble, alleviates the deficiencies of ensemble learning on the cost of time and space. Accuracy and diversity serve as two crucial factors, while they… read more here.
Keywords: general distributed; distributed framework; objection maximization; framework ... See more keywords