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Improving EEG-Based Emotion Classification Using Conditional Transfer Learning

To overcome the individual differences, an accurate electroencephalogram (EEG)-based emotion-classification system requires a considerable amount of ecological calibration data for each individual, which is labor-intensive and time-consuming. Transfer learning (TL) has drawn increasing attention in...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Front Hum Neurosci
मुख्य लेखकों: Lin, Yuan-Pin, Jung, Tzyy-Ping
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Frontiers Media S.A. 2017
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC5486154/
https://ncbi.nlm.nih.gov/pubmed/28701938
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2017.00334
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