Semisupervised Adaptive Symmetric Non-Negative Matrix Factorization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.2969684
Abstract: As a variant of non-negative matrix factorization (NMF), symmetric NMF (SymNMF) can generate the clustering result without additional post-processing, by decomposing a similarity matrix into the product of a clustering indicator matrix and its transpose.… read more here.
Keywords: matrix factorization; matrix; non negative; negative matrix ... See more keywords
Supervised Adaptive Similarity Matrix Hashing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3158092
Abstract: Compact hash codes can facilitate large-scale multimedia retrieval, significantly reducing storage and computation. Most hashing methods learn hash functions based on the data similarity matrix, which is predefined by supervised labels or a distance metric… read more here.
Keywords: similarity; similarity matrix; supervised adaptive; matrix hashing ... See more keywords
Model Description of Similarity-Based Recommendation Systems
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DOI: 10.3390/e21070702
Abstract: The quality of online services highly depends on the accuracy of the recommendations they can provide to users. Researchers have proposed various similarity measures based on the assumption that similar people like or dislike similar… read more here.
Keywords: similarity based; similarity matrix; recommendation; similarity ... See more keywords