On the perception and operationalization of risk perception [PDF]
Judgment and Decision Making, 2008 AbstractWe compare and critique two measures of risk perception. We suggest that a single question — “How risky is the situation?” — captures the concept of risk perception more accurately than the multiple-item measure used by Sitkin and Weingart (1995).
Yoav Ganzach +3 more
openaire +3 more sources
Evaluation of patient perception towards dynamic health data sharing using blockchain based digital consent with the Dovetail digital consent application : a cross sectional exploratory study [PDF]
, 2020 Background New patient-centric integrated care models are enabled by the capability to exchange the patient’s data amongst stakeholders, who each specialise in different aspects of the patient’s care.
Arvanitis, Theodoros N. +5 more
core +1 more source
I know you are beautiful even without looking at you: discrimination of facial beauty in peripheral vision [PDF]
, 2011 Prior research suggests that facial attractiveness may capture attention at parafovea. However, little is known about how well facial beauty can be detected at parafoveal and peripheral vision. Participants in this study judged relative attractiveness of
Chang Hong Liu +3 more
core +1 more source
Perception-aware Path Planning [PDF]
, 2016 In this paper, we give a double twist to the problem of planning under uncertainty. State-of-the-art planners seek to minimize the localization uncertainty by only considering the geometric structure of the scene.
Costante, Gabriele +4 more
core +1 more source
A Two-Stage Evolutionary Fuzzy Clustering Framework for Noisy Image Segmentation
IEEE Access, 2020 This article presents a two-stage evolutionary fuzzy clustering framework for noisy image segmentation. It is a bi-stage system comprising a multi-objective optimization stage and a fuzzy clustering segmentation stage. In the multi-objective optimization
Licheng Jiao +4 more
doaj +1 more source
Adaptive Cluster Analysis Approach for Functional Localization Using Magnetoencephalography
Frontiers in Neuroscience, 2013 In this paper we propose an agglomerative hierarchical clustering Ward’s algorithm in tandem with the Affinity Propagation algorithm to reliably localize active brain regions from magnetorencephalography (MEG) brain signals.
Hooman eAlikhanian +8 more
doaj +1 more source
Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification
Remote Sensing, 2020 Recently, deep learning has been highly successful in image classification. Labeling the PolSAR data, however, is time-consuming and laborious and in response semi-supervised deep learning has been increasingly investigated in PolSAR image classification.
Yuwei Guo +5 more
doaj +1 more source
Unsupervised EA-Based Fuzzy Clustering for Image Segmentation
IEEE Access, 2020 This paper presents an unsupervised fuzzy clustering based on evolutionary algorithm for image segmentation. It needs no prior information about exact numbers of segments.
Mengxuan Zhang +4 more
doaj +1 more source
PRGFlow: Unified SWAP‐aware deep global optical flow for aerial robot navigation
Electronics Letters, 2021 Global optical flow estimation is the foundation stone for obtaining odometry which is used to enable aerial robot navigation. However, such a method has to be of low latency and high robustness whilst also respecting the size, weight, area and power ...
Nitin J. Sanket +3 more
doaj +1 more source