Results 11 to 20 of about 3,259,835 (163)
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness [PDF]
Measures of algorithmic fairness often do not account for human perceptions of fairness that can substantially vary between different sociodemographics and stakeholders. The FairCeptron framework is an approach for studying perceptions of fairness in algorithmic decision making such as in ranking or classification.
arxiv +1 more source
There are conflicting results regarding the effect of aging on second-order motion processing (i.e., motion defined by attributes other than luminance, such as contrast).
Rémy eAllard+2 more
doaj +1 more source
SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection
Convolutional neural networks (CNNs) are data-driven methods that automatically extract the rich information embedded in remote sensing images. However, most current deep learning-based remote sensing image change detection methods prioritize high-level ...
Jiahao Wang+7 more
doaj +1 more source
I know you are beautiful even without looking at you: discrimination of facial beauty in peripheral vision [PDF]
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
A Multi-Level Attention Model for Remote Sensing Image Captions
The task of image captioning involves the generation of a sentence that can describe an image appropriately, which is the intersection of computer vision and natural language.
Yangyang Li+4 more
doaj +1 more source
Object detection has made significant progress in many real-world scenes. Despite this remarkable progress, the common use case of detection in remote sensing images remains challenging even for leading object detectors, due to the complex background ...
Yangyang Li+4 more
doaj +1 more source
Perception-aware Path Planning [PDF]
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
Adaptive Cluster Analysis Approach for Functional Localization Using Magnetoencephalography
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
A Two-Stage Evolutionary Fuzzy Clustering Framework for Noisy Image Segmentation
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
Unsupervised EA-Based Fuzzy Clustering for Image Segmentation
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