CORDIS Project
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This project focuses on improving latent factor estimation techniques for analyzing matrix data. It aims to enhance methods for identifying patterns and their proportions in various applications, including audio processing and data mining, by moving beyond traditional Gaussian assumptions and optimizing data transforma…
Data is often available in matrix form, in which columns are samples, and processing of such data often entails finding an approximate factorisation of the matrix in two factors.
The first factor yields recurring patterns characteristic of the data.
The second factor describes in which proportions each data sample is made of these patterns.
Latent factor estimation (LFE) is the problem of finding such a factorisation, usually under given constraints. LFE appears under other domain-specific names…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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