Supervised neighborhood regularized collaborative representation for face recognition
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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… read more here.
Keywords: neighborhood regularized; supervised neighborhood; regularized collaborative; face ... See more keywords
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction
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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… read more here.
Keywords: mml; service; qos; neighborhood regularized ... See more keywords