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 …
many applications. This leads to a strong demand for learning algorithms to extract useful …
Constructing 3D interaction maps from 1D epigenomes
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 …
both one-dimensional (1D) local chromatin states and three-dimensional (3D) genome …
Learning representations from imperfect time series data via tensor rank regularization
There has been an increased interest in multimodal language processing including
multimodal dialog, question answering, sentiment analysis, and speech recognition …
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 …
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
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 …
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 …
tensor representation of hyperspectral imagery (HSI) without any information loss, have …
Multivariate multilinear regression
Conventional regression methods, such as multivariate linear regression (MLR) and its
extension principal component regression (PCR), deal well with the situations that the data …
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 …
systems. However, some high reflection areas have a grayscale similar to the target, which …
Feature extraction and clustering for dynamic video summarisation
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 …
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 …
only performed by humans and animals. This requires segmentation of items in the field of …