Graph-collaborated auto-encoder hashing for multiview binary clustering
H Wang, M Yao, G Jiang, Z Mi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unsupervised hashing methods have attracted widespread attention with the explosive
growth of large-scale data, which can greatly reduce storage and computation by learning …
growth of large-scale data, which can greatly reduce storage and computation by learning …
A better measure of relative prediction accuracy for model selection and model estimation
C Tofallis - Journal of the Operational Research Society, 2015 - Taylor & Francis
Surveys show that the mean absolute percentage error (MAPE) is the most widely used
measure of prediction accuracy in businesses and organizations. It is, however, biased …
measure of prediction accuracy in businesses and organizations. It is, however, biased …
The faces of engagement: Automatic recognition of student engagementfrom facial expressions
Student engagement is a key concept in contemporary education, where it is valued as a
goal in its own right. In this paper we explore approaches for automatic recognition of …
goal in its own right. In this paper we explore approaches for automatic recognition of …
An ensemble classification-based approach applied to retinal blood vessel segmentation
MM Fraz, P Remagnino, A Hoppe… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
This paper presents a new supervised method for segmentation of blood vessels in retinal
photographs. This method uses an ensemble system of bagged and boosted decision trees …
photographs. This method uses an ensemble system of bagged and boosted decision trees …
Two-stage convolutional neural network for road crack detection and segmentation
Automatic detection of road cracks is an important task to support road inspection for
transport infrastructure. Various methods have been proposed for road crack detection and …
transport infrastructure. Various methods have been proposed for road crack detection and …
Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification
Purpose Automatic segmentation of the retinal vasculature is a first step in computer-
assisted diagnosis and treatment planning. The extraction of retinal vessels in pediatric …
assisted diagnosis and treatment planning. The extraction of retinal vessels in pediatric …
Appearance descriptors for person re-identification: a comprehensive review
R Satta - arXiv preprint arXiv:1307.5748, 2013 - arxiv.org
In video-surveillance, person re-identification is the task of recognising whether an
individual has already been observed over a network of cameras. Typically, this is achieved …
individual has already been observed over a network of cameras. Typically, this is achieved …
Foveal vision anticipates defining features of eye movement targets
High-acuity foveal processing is vital for human vision. Nonetheless, little is known about
how the preparation of large-scale rapid eye movements (saccades) affects visual sensitivity …
how the preparation of large-scale rapid eye movements (saccades) affects visual sensitivity …
[HTML][HTML] Bone fracture detection through the two-stage system of crack-sensitive convolutional neural network
Y Ma, Y Luo - Informatics in Medicine Unlocked, 2021 - Elsevier
Automated fracture detection is an essential part in a computer-aided tele-medicine system.
Fractures often occur in human's arbitrary bone due to accidental injuries such as slipping …
Fractures often occur in human's arbitrary bone due to accidental injuries such as slipping …
Toward practical smile detection
J Whitehill, G Littlewort, I Fasel… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Machine learning approaches have produced some of the highest reported performances
for facial expression recognition. However, to date, nearly all automatic facial expression …
for facial expression recognition. However, to date, nearly all automatic facial expression …