Adaptive local learning regularized nonnegative matrix factorization for data clustering
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1380-2
Abstract: Data clustering aims to group the input data instances into certain clusters according to the high similarity to each other, and it could be regarded as a fundamental and essential immediate or intermediate task that… read more here.
Keywords: adaptive local; matrix; data clustering; matrix factorization ... See more keywords
Time–frequency analysis via complementary ensemble adaptive local iterative filtering and enhanced maximum correlation kurtosis deconvolution for wind turbine fault diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "Energy Reports"
DOI: 10.1016/j.egyr.2021.04.045
Abstract: Abstract A complementary ensemble adaptive local iterative filtering (CEALIF) and enhanced maximum correlation kurtosis deconvolution (EMCKD) approach is proposed for weak fault signals in wind turbine bearings, which are easily concealed by strong background noise… read more here.
Keywords: iterative filtering; kurtosis; adaptive local; deconvolution ... See more keywords
GPU Acceleration of Adaptive Local Kriging Applied to Retrieving Slant-Range Surface Motion Maps
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2018.2871877
Abstract: Differential interferometric synthetic aperture radar (DInSAR) is an effective technique to measure the surface displacement caused by strong earthquakes. However, in the area with respect to the most significant deformation along the fault zone, the… read more here.
Keywords: alk; adaptive local; surface; gpu ... 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
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3014104
Abstract: Multiple kernel clustering (MKC) algorithm aims to group data into different categories by optimally integrating information from a group of pre-specified kernels. Though demonstrating superiorities in various applications, we observe that existing MKC algorithms usually… read more here.
Keywords: optimal neighborhood; adaptive local; multiple kernel; kernel clustering ... See more keywords
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2019.2893250
Abstract: Due to their on-body and ubiquitous nature, wearables can generate a wide range of unique sensor data creating countless opportunities for deep learning tasks. We propose DeepWear, a deep learning (DL) framework for wearable devices… read more here.
Keywords: adaptive local; offloading wearable; learning; local offloading ... See more keywords
Bearing Fault Diagnosis with Kernel Sparse Representation Classification Based on Adaptive Local Iterative Filtering-Enhanced Multiscale Entropy Features
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/7905674
Abstract: To improve the bearings diagnosis accuracy considering multiple fault types with small samples, a new approach that combined adaptive local iterative filtering (ALIF), multiscale entropy features, and kernel sparse representation classification (KSRC) is put forward… read more here.
Keywords: entropy features; fault; diagnosis; entropy ... See more keywords