Sample-Adaptive Classification Inference Network
Sign Up to like & getrecommendations! Published in 2024 at "Neural Processing Letters"
DOI: 10.1007/s11063-024-11629-6
Abstract: Existing pre-trained models have yielded promising results in terms of computational time reduction. However, these models only focus on pruning simple sentences or less salient words, while neglecting the treatment of relatively complex sentences. It… read more here.
Keywords: complex samples; inference; adaptive classification; model ... See more keywords
Adaptive classification using incremental learning for seismic-volcanic signals with concept drift
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Volcanology and Geothermal Research"
DOI: 10.1016/j.jvolgeores.2021.107211
Abstract: Abstract The accurate labeling of the volcanic earthquake signals is a crucial task in order to estimate the increase in volcanic activity (among other parameters), which contributes to determine a state of volcanic unrest (as… read more here.
Keywords: classification using; order; strategy; adaptive classification ... See more keywords
Adaptive Classification Fountain Codes for Reentry Communication
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2915926
Abstract: Radio blackout due to a plasma sheath during reentry has attracted much attention over several decades. However, radio blackout has long puzzled the aerospace industry and has not yet been completely resolved. A communication method… read more here.
Keywords: communication; method; adaptive classification; classification fountain ... See more keywords
Adaptive Classification Using Incremental Linearized Kernel Embedding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3162407
Abstract: This paper considers the problem of adaptive classification for performing pattern discrimination in varying conditions when new data arrives. A new efficient method is presented to incrementally update features in a Nyström-approximated linearized kernel embedding… read more here.
Keywords: incremental linearized; classification; adaptive classification; linearized kernel ... See more keywords
Combining robust level extraction and unsupervised adaptive classification for high-accuracy fNIRS-BCI: An evidence on single-trial differentiation between mentally arithmetic- and singing-tasks
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.938518
Abstract: Functional near-infrared spectroscopy (fNIRS) is a safe and non-invasive optical imaging technique that is being increasingly used in brain-computer interfaces (BCIs) to recognize mental tasks. Unlike electroencephalography (EEG) which directly measures neural activation, fNIRS signals… read more here.
Keywords: classification; adaptive classification; robust level; fnirs bci ... See more keywords
Adaptive classification of artistic images using multi-scale convolutional neural networks
Sign Up to like & getrecommendations! Published in 2024 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.2336
Abstract: The current art image classification methods have low recall and accuracy rate issues . To improve the classification performance of art images, a new adaptive classification method is designed employing multi-scale convolutional neural networks (CNNs).… read more here.
Keywords: classification; convolutional neural; image; adaptive classification ... See more keywords