Alpha Matting With KL-Divergence-Based Sparse Sampling
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2718664
Abstract: In this paper, we present a new sampling-based alpha matting approach for the accurate estimation of foreground and background layers of an image. Previous sampling-based methods typically rely on certain heuristics in collecting representative samples… read more here.
Keywords: divergence based; sparse sampling; matting divergence; divergence ... See more keywords
A Divergence-Based Medical Decision-Making Process of COVID-19 Diagnosis
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DOI: 10.1155/2022/7685033
Abstract: This study is concerned with introducing a class of parametric and symmetric divergence measures under hesitant fuzzy environment. The proposed divergence measures have several interesting properties which make their use attractive. In order for exploring… read more here.
Keywords: divergence based; hesitant fuzzy; divergence measures; proposed divergence ... See more keywords
Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and L2,1-Norm
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24101324
Abstract: Accurate clustering is a challenging task with unlabeled data. Ensemble clustering aims to combine sets of base clusterings to obtain a better and more stable clustering and has shown its ability to improve clustering accuracy.… read more here.
Keywords: weighted ensemble; divergence based; based locally; ensemble clustering ... See more keywords