A survey on wearable sensor modality centred human activity recognition in health care
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …
population structure. Aging-caused changes, such as physical or cognitive decline, could …
Contrastive and non-contrastive self-supervised learning recover global and local spectral embedding methods
Abstract Self-Supervised Learning (SSL) surmises that inputs and pairwise positive
relationships are enough to learn meaningful representations. Although SSL has recently …
relationships are enough to learn meaningful representations. Although SSL has recently …
Cluster canonical correlation analysis
In this paper we present cluster canonical correlation analysis (cluster-CCA) for joint
dimensionality reduction of two sets of data points. Unlike the standard pairwise …
dimensionality reduction of two sets of data points. Unlike the standard pairwise …
Neural network implementations for PCA and its extensions
J Qiu, H Wang, J Lu, B Zhang… - International Scholarly …, 2012 - Wiley Online Library
Many information processing problems can be transformed into some form of eigenvalue or
singular value problems. Eigenvalue decomposition (EVD) and singular value …
singular value problems. Eigenvalue decomposition (EVD) and singular value …
CCA based feature selection with application to continuous depression recognition from acoustic speech features
In this study we make use of Canonical Correlation Analysis (CCA) based feature selection
for continuous depression recognition from speech. Besides its common use in multi …
for continuous depression recognition from speech. Besides its common use in multi …
Quantification of mild traumatic brain injury via cortical metrics: analytical methods
Mild traumatic brain injuries are difficult to diagnose or assess with commonly used
diagnostic methods. However, the functional state of cerebral cortical networks can be …
diagnostic methods. However, the functional state of cerebral cortical networks can be …
Canonical sparse cross-view correlation analysis
C Zu, D Zhang - Neurocomputing, 2016 - Elsevier
Recently, multi-view feature extraction has attracted great interest and Canonical Correlation
Analysis (CCA) is a powerful technique for finding the linear correlation between two view …
Analysis (CCA) is a powerful technique for finding the linear correlation between two view …
Robust data-driven automation based on relaxed supervised hashing with self-optimized labels
BW Chen, JY Huang, YH Wu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, the Visual Internet of Things (VIoT) has been widely used in data-driven
automation, where VIoT devices are used to monitor environmental dynamics and to trigger …
automation, where VIoT devices are used to monitor environmental dynamics and to trigger …
A weighted linear combination ranking technique for multi-criteria decision analysis
JR Chou - South African Journal of Economic and Management …, 2013 - scielo.org.za
Multi-criteria decision analysis (MCDA) is an alternative approach, which provides a way to
systematically structure and analyse complex decision problems. This study presents a …
systematically structure and analyse complex decision problems. This study presents a …
Sparse semi-supervised heterogeneous interbattery bayesian analysis
The Bayesian approach to feature extraction, known as factor analysis (FA), has been widely
studied in machine learning to obtain a latent representation of the data. An adequate …
studied in machine learning to obtain a latent representation of the data. An adequate …