Kernel nonnegative representation-based classifier
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02486-0
Abstract: Non-negativity is a critical and explainable property in linear representation-based methods leading to promising performances in the pattern classification field. Based on the non-negativity, a powerful linear representation-based classifier was proposed, namely non-negative representation-based classifier… read more here.
Keywords: representation; representation based; based classifier; linear representation ... See more keywords
Integrating Piecewise Linear Representation and Deep Learning for Trading Signals Forecasting
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DOI: 10.1109/access.2023.3244599
Abstract: Trading signals forecasting is an interesting but challenging research topic in the field of financial investment, since the financial market is a nonlinearity and high volatility system influenced by too many factors, and a small… read more here.
Keywords: trading; signals forecasting; trading signals; linear representation ... See more keywords
Learning Spatially Variant Linear Representation Models for Joint Filtering.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3102575
Abstract: Joint filtering mainly uses an additional guidance image as a prior and transfers its structures to the target image in the filtering process. Different from existing approaches that rely on local linear models or hand-designed… read more here.
Keywords: representation; variant linear; linear representation; image ... See more keywords