Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2908795
Abstract: Image classification is an essential and challenging task in computer vision. Despite its prevalence, the combination of the deep convolutional neural network (DCNN) and the Fisher vector (FV) encoding method has limited performance since the… read more here.
Keywords: class relevant; foreground; image classification; image ... See more keywords
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3100583
Abstract: In recent years, deep learning-based feature representation methods have shown a promising impact on electroencephalography (EEG)-based brain-computer interface (BCI). Nonetheless, owing to high intra- and inter-subject variabilities, many studies on decoding EEG were designed in… read more here.
Keywords: representation; class relevant; subject invariant; feature ... See more keywords