A survey of multilinear subspace learning for tensor data

H Lu, KN Plataniotis, AN Venetsanopoulos - Pattern Recognition, 2011 - Elsevier
Increasingly large amount of multidimensional data are being generated on a daily basis in
many applications. This leads to a strong demand for learning algorithms to extract useful …

Constructing 3D interaction maps from 1D epigenomes

Y Zhu, Z Chen, K Zhang, M Wang, D Medovoy… - Nature …, 2016 - nature.com
The human genome is tightly packaged into chromatin whose functional output depends on
both one-dimensional (1D) local chromatin states and three-dimensional (3D) genome …

Learning representations from imperfect time series data via tensor rank regularization

PP Liang, Z Liu, YHH Tsai, Q Zhao… - arXiv preprint arXiv …, 2019 - arxiv.org
There has been an increased interest in multimodal language processing including
multimodal dialog, question answering, sentiment analysis, and speech recognition …

[图书][B] Multilinear subspace learning: dimensionality reduction of multidimensional data

H Lu, KN Plataniotis, A Venetsanopoulos - 2013 - books.google.com
Due to advances in sensor, storage, and networking technologies, data is being generated
on a daily basis at an ever-increasing pace in a wide range of applications, including cloud …

A unified tensor level set for image segmentation

B Wang, X Gao, D Tao, X Li - IEEE Transactions on Systems …, 2009 - ieeexplore.ieee.org
This paper presents a new region-based unified tensor level set model for image
segmentation. This model introduces a three-order tensor to comprehensively depict …

Hyperspectral unmixing using nonlocal similarity-regularized low-rank tensor factorization

Y Yuan, L Dong, X Li - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
Recently, methods based on nonnegative tensor factorization (NTF), which benefits from the
tensor representation of hyperspectral imagery (HSI) without any information loss, have …

Multivariate multilinear regression

Y Su, X Gao, X Li, D Tao - IEEE Transactions on Systems, Man …, 2012 - ieeexplore.ieee.org
Conventional regression methods, such as multivariate linear regression (MLR) and its
extension principal component regression (PCR), deal well with the situations that the data …

Infrared cirrus detection using non-convex rank surrogates for spatial-temporal tensor

S Xiao, Z Peng, F Li - Remote Sensing, 2023 - mdpi.com
Infrared small target detection (ISTD) plays a significant role in earth observation infrared
systems. However, some high reflection areas have a grayscale similar to the target, which …

Feature extraction and clustering for dynamic video summarisation

H Zhou, AH Sadka, MR Swash, J Azizi, UA Sadiq - Neurocomputing, 2010 - Elsevier
In this paper an effective dynamic video summarisation algorithm is presented using audio-
visual features extracted from videos. Audio, colour and motion features are dynamically …

Survey on classifying human actions through visual sensors

MS Del Rose, CC Wagner - Artificial Intelligence Review, 2012 - Springer
The ability to predict the intentions of people based solely on their visual actions is a skill
only performed by humans and animals. This requires segmentation of items in the field of …