Factorized weight interaction neural networks for sparse feature prediction
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04470-9
Abstract: Non-contiguous and categorical sparse feature data are widely existed on the Internet. To build a machine learning system with these data, it is important to properly model the interaction among features. In this paper, we… read more here.
Keywords: sparse feature; factorized weight; weight interaction; interaction ... See more keywords
MSFFNet: A Multilevel Sparse Feature Fusion Network for Infrared Dim Small Target Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3488698
Abstract: The sparse characteristics of target features poses significant challenges when using deep learning methods for infrared dim small targets. To tackle this issue, this article proposes a novel multilevel sparse feature fusion network for detecting… read more here.
Keywords: fusion network; feature fusion; target; sparse feature ... See more keywords
Sparse Feature Learning for Correlation Filter Tracking Toward 5G-Enabled Tactile Internet
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2906087
Abstract: Fifth generation with high dimensions and capabilities is expected to fulfil the requirements of the Tactile Internet. Tracking provides strong support for intuitive interaction with interfaces by hands, eyes, bodies, etc. Such interfaces can be… read more here.
Keywords: sparse feature; correlation filter; tactile internet; feature learning ... See more keywords