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In this paper, an algorithm is proposed to build high-performance cross-subject motor-imagery brain–computer interfaces (BCIs) for a new subject. First, a novel ...
Jul 19, 2024 · In this paper, an algorithm is proposed to build high-performance cross-subject motor-imagery brain–computer interfaces (BCIs) for a new subject ...
Title. Cross-Subject Brain–Computer Interfaces with Joint Distribution Alignment. Authors. Zhao, Xianghong; Ma, Longhua; Cai, Weiming; Lian, Bin; Cui, ...
Feb 23, 2020 · It makes the classifier trained in the source domain perform well in the target domain. Specifically, a measure for joint distribution ...
Feb 24, 2020 · In this paper, we proposed a deep neural network with joint distribution matching for motor imagery brain-computer interfaces. Firstly, the ...
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Sep 14, 2022 · This paper proposes a novel multi-source joint domain adaptation (MSJDA) network. We first map all domains to a shared feature space and then align the joint ...
Multi-source joint domain adaptation for cross-subject and ... - PubMed
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Sep 15, 2022 · We first map all domains to a shared feature space and then align the joint distributions of the further extracted private representations and ...
In brain–computer interface (BCI) system, emotion is essential in aiding the understanding of behavioral and cognitive functions associated with psychological ...
This paper proposes a dual regularization-based MI-EEG feature learning framework, in which feature weighted common spatial pattern, joint probability ...
Mar 15, 2022 · Background. Brain computer interface (BCI) utilizes brain signals to help users interact with external devices directly.
Get hands-on training in computer vision and image processing with CMU SCS faculty. Program prerequisites: Knowledge of...