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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4851-2
Abstract: How to represent a test sample is very crucial for linear representation based classification. The famous sparse representation focuses on employing linear combination of small samples to represent the query sample. However, the local structure…
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Keywords:
neighborhood regularized;
supervised neighborhood;
regularized collaborative;
face ... See more keywords
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Published in 2022 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2019.2961895
Abstract: Neighborhood regularization is highly important for a latent factor (LF)-based Quality-of-Service (QoS)-predictor since similar users usually experience similar QoS when invoking similar services. Current neighborhood-regularized LF models rely prior information on neighborhood obtained from common…
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Keywords:
mml;
service;
qos;
neighborhood regularized ... See more keywords