Fast adaptive neighbors clustering via embedded clustering
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.087
Abstract: Abstract Recently, spectral clustering (SC) has been gaining more and more attention due to its excellent performance in unsupervised learning. However, the computational complexity of the SC is high. Also, the adjacency graph matrix of… read more here.
Keywords: graph embedded; embedded data; fast adaptive; raw data ... See more keywords
Fast adaptive phase unwrapping algorithm based on improved bucket sorting
Sign Up to like & getrecommendations! Published in 2021 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2021.106745
Abstract: Abstract As a key step in active structured light reconstruction technology, the phase unwrapping algorithm has a direct impact on improving measurement accuracy and efficiency. A fast adaptive phase unwrapping algorithm based on improved bucket… read more here.
Keywords: unwrapping algorithm; adaptive phase; phase unwrapping; bucket ... See more keywords
A Fast Adaptive-Gain Complementary Filter Algorithm for Attitude Estimation of an Unmanned Aerial Vehicle – CORRIGENDUM
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DOI: 10.1017/s0373463318000620
Abstract: In Yang et al. (2018), the authors derive an observation model of attitude quaternions from normalised accelerometer measurements. The method of Yang et al. builds up the linear measurement model via Taylor approximations. Some significant… read more here.
Keywords: estimation; gain complementary; attitude; yang 2018 ... See more keywords
Fast Adaptive Local Subspace Learning With Regressive Regularization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3193631
Abstract: Linear Discriminant Analysis (LDA) has been widely used in supervised dimensionality reduction fields. However, LDA is usually weak in tackling data with Non-Gaussian distribution due to its incapability of extracting the intrinsic structure of data.… read more here.
Keywords: local subspace; adaptive local; subspace learning; regularization ... See more keywords
TRAVERSAL: A Fast and Adaptive Graph-Based Placement and Routing for CGRAs
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2020.3025513
Abstract: Coarse grain reconfigurable architectures (CGRAs) are an emerging hybrid computational architecture that has the parallel customization benefits of low-level logic devices, such as FPGAs and ASICs, while the relative coarseness of these architectures makes CGRAs… read more here.
Keywords: placement routing; graph based; placement; fast adaptive ... See more keywords
Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2981197
Abstract: For a learning model to be effective in online modeling of nonstationary data, it must not only be equipped with high adaptability to track the changing data dynamics but also maintain low complexity to meet… read more here.
Keywords: time; time series; nonstationary time; fast adaptive ... See more keywords