Learning Multi-level Deep Representations for Image Emotion Classification
Sign Up to like & getrecommendations! Published in 2019 at "Neural Processing Letters"
DOI: 10.1007/s11063-019-10033-9
Abstract: In this paper, we propose a new deep network that learns multi-level deep representations for image emotion classification (MldrNet). Image emotion can be recognized through image semantics, image aesthetics and low-level visual features from both… read more here.
Keywords: image; classification; deep representations; level ... See more keywords
Exploiting deep representations for natural language processing
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.060
Abstract: Abstract Advanced neural network models generally implement systems as multiple layers to model complex functions and capture complicated linguistic structures at different levels [1]. However, only the top layers of deep networks are leveraged in the… read more here.
Keywords: deep representations; natural language; language processing; representations natural ... See more keywords
A Deep Non-negative Matrix Factorization Model for Big Data Representation Learning
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2021.701194
Abstract: Nowadays, deep representations have been attracting much attention owing to the great performance in various tasks. However, the interpretability of deep representations poses a vast challenge on real-world applications. To alleviate the challenge, a deep… read more here.
Keywords: big data; deep representations; matrix; matrix factorization ... See more keywords