Tensor-Based Shot Boundary Detection in Video Streams
Sign Up to like & getrecommendations! Published in 2017 at "New Generation Computing"
DOI: 10.1007/s00354-017-0024-0
Abstract: This paper presents a method for content change detection in multidimensional video signals. Video frames are represented as tensors of order consistent with signal dimensions. The method operates on unprocessed signals and no special feature… read more here.
Keywords: video; detection; shot boundary; based shot ... See more keywords
Learning with Similarity Functions: a Tensor-Based Framework
Sign Up to like & getrecommendations! Published in 2019 at "Cognitive Computation"
DOI: 10.1007/s12559-018-9590-9
Abstract: Machine learning algorithms are typically designed to deal with data represented as vectors. Several major applications, however, involve multi-way data, such as video sequences and multi-sensory arrays. In those cases, tensors endow a more consistent… read more here.
Keywords: learning similarity; tensor based; similarity; based framework ... See more keywords
Utilising Kronecker Decomposition and Tensor-based Multi-view Learning to predict where people are looking in images
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.11.074
Abstract: Eye movement data collection is very expensive and laborious. Moreover, there are usually missing values. Assuming that we are collecting eye movement data from a set of images viewed by different users, there is a… read more here.
Keywords: learning predict; multi view; based multi; view learning ... See more keywords
Tensor-based computation of metastable and coherent sets
Sign Up to like & getrecommendations! Published in 2021 at "Physica D: Nonlinear Phenomena"
DOI: 10.1016/j.physd.2021.133018
Abstract: Recent years have seen rapid advances in the data-driven analysis of dynamical systems based on Koopman operator theory -- with extended dynamic mode decomposition (EDMD) being a cornerstone of the field. On the other hand,… read more here.
Keywords: coherent sets; metastable coherent; tensor; based computation ... See more keywords
Tensor-based flow reconstruction from optimally located sensor measurements
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2023.269
Abstract: Abstract Reconstructing high-resolution flow fields from sparse measurements is a major challenge in fluid dynamics. Existing methods often vectorize the flow by stacking different spatial directions on top of each other, hence confounding the information… read more here.
Keywords: flow reconstruction; flow; method; tensor based ... See more keywords
Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-61799-1
Abstract: Quantitative magnetic resonance imaging (MRI) investigations of brain anatomy in children and young adults with Down syndrome (DS) are limited, with no diffusion tensor imaging (DTI) studies covering that age range. We used DTI-driven tensor… read more here.
Keywords: based morphometry; dti driven; hypoplasia; driven tensor ... See more keywords
A tensor-based approach to unify organization and operation of data for irregular spatio-temporal fields
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2092116
Abstract: Abstract Irregular geographic spatio-temporal-field data have been rapidly accumulating; however, data organizations and operations for different irregular types are often segregated, leading to systematic drawbacks, such as interface expansion difficulty and high coupling codes in… read more here.
Keywords: tensor based; organization operation; approach; spatio temporal ... See more keywords
Atom-Refined Multiway Greedy Algorithm for Tensor-Based Compressive Sensing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2898669
Abstract: In this paper, we develop a novel multiway greedy algorithm, named atom-refined multiway orthogonal matching pursuit, for tensor-based compressive sensing (TCS) reconstruction. The alternative supports of each dimension are selected using the respective inner product… read more here.
Keywords: tensor based; atom refined; tensor; multiway greedy ... See more keywords
Semi-Blind Receivers for Multi-User Massive MIMO Relay Systems Based on Block Tucker2-PARAFAC Tensor Model
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2973257
Abstract: Massive multiple-input multiple-output (MIMO) relay can significantly improve the capacity and throughput of wireless networks, thus has been a sought-after technique for future communication systems. However, the development of massive MIMO relay systems faces several… read more here.
Keywords: tensor based; tensor; semi blind; relay systems ... See more keywords
Sparse Tensor-Based Dimensionality Reduction for Hyperspectral Spectral–Spatial Discriminant Feature Extraction
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2734960
Abstract: This letter explores a spectral–spatial tensor-based dimensionality reduction (DR) method to cope with hyperspectral image (HSI) feature extraction and classification. This method uses the Gabor filter banks as the bias spectral–spatial feature hybrider and further… read more here.
Keywords: feature; spectral spatial; based dimensionality; feature extraction ... See more keywords
Tensor-Based Parametric Spectrum Cartography From Irregular Off-Grid Samplings
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3257723
Abstract: Tensor-based spectrum cartography (SC) has received increasing interests for recovering multi-dimensional radio map (RM) from sparse measurements. However, existing tensor-based SC methods largely depend on an ideal assumption, that the sparse measurements are regularly located… read more here.
Keywords: spectrum cartography; grid samplings; tensor based; cartography ... See more keywords