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AACP: Aesthetics assessment of children's paintings based on self-supervised learning
To solve this problem, we construct an aesthetics assessment dataset of children's paintings and a model based on self-supervised learning.
Consensus-Based Distributed Nonlinear Filtering with Kernel Mean Embedding
To show the proposed distributed filter being capable of achieving the centralized estimation accuracy, a centralized filter, serving as an extension of the standard Kalman filter in the state space to the RKHS, is developed first.
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