Matrix decomposition is an area of linear algebra which is focused on expressing a matrix as a product of matrices with prescribed properties. (Photo credit: Merino et al., 2024) Imagine discovering ...

Abstract: Deep matrix factorization (DMF) has the capability to discover hierarchical structures within raw data by factorizing matrices layer by layer, allowing it to utilize latent information for ...

Abstract: Incomplete multi-view clustering (IMC) has received increasing attention since missing observations of views are common in real-world applications. Existing approaches often learn similarity ...

When use this method to calculation some material with very low thermal conductivity, maybe one can get some very strange results (the spectral heat flux will turn to negative or positive). I don't ...

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