Cues for haptic perception of compliance [PDF]
, 2009 For the perception of the hardness of compliant materials, several cues are available. In this paper, the relative roles of force/displacement and surface deformation cues are investigated.
Physics of Man (Human Perception) +4 more
core +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
Deep Graph-Convolutional Generative Adversarial Network for Semi-Supervised Learning on Graphs
Remote Sensing, 2023 Graph convolutional networks (GCNs) are neural network frameworks for machine learning on graphs. They can simultaneously perform end-to-end learning on the attribute information and the structure information of graph data.
Nan Jia +3 more
doaj +1 more source
Intelligent Agents Living in Social Virtual Environments – Bringing Max into Second Life [PDF]
, 2008 Weitnauer E, Thomas N, Rabe F, Kopp S. Intelligent Agents Living in Social Virtual Environments – Bringing Max into Second Life. In: Proc. of Intelligent Virtual Agents (IVA 2008). LNAI, 5208.
Thomas, Nick +7 more
core +1 more source
Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification is a recent technology with great practical value in the field of remote sensing. However, due to the time-consuming and labor-intensive data collection, there are few labeled datasets ...
Yangyang Li +6 more
doaj +1 more source
A Probabilistic Model of Motor Resonance for Embodied Gesture Perception [PDF]
, 2009 Sadeghipour A, Kopp S. A Probabilistic Model of Motor Resonance for Embodied Gesture Perception. In: Ruttkay Z, Kipp M, Nijholt A, Vilhjamsson H, eds. Intelligent Virtual Agents. Vol 5773.
Kopp, Stefan ; https://orcid.org/ +7 more
core +1 more source
A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification
Remote Sensing, 2020 High-resolution optical remote sensing image classification is an important research direction in the field of computer vision. It is difficult to extract the rich semantic information from remote sensing images with many objects.
Lingling Li +6 more
doaj +1 more source
Multi-Scale Fused SAR Image Registration Based on Deep Forest
Remote Sensing, 2021 SAR image registration is a crucial problem in SAR image processing since the registration results with high precision are conducive to improving the quality of other problems, such as change detection of SAR images. Recently, for most DL-based SAR image
Shasha Mao +5 more
doaj +1 more source
Exploring healthcare professionals’ perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool [PDF]
DIGITAL HEALTH, 2022 Objective There is an urgent need to prepare the healthcare workforce for the implementation of artificial intelligence (AI) into the healthcare setting. Insights into workforce perception of AI could identify potential challenges that an organisation may face when implementing this new technology.
Lucy Shinners +4 more
openaire +5 more sources
High-Resolution SAR Change Detection Based on ROI and SPP Net
IEEE Access, 2019 With the resolution increasing, the structure information becomes more and more abundant in Synthetic Aperture Radar (SAR) images. The speckle noise generated by the coherent imaging mechanism, has a great influence on the detection accuracy and ...
Lingling Li +4 more
doaj +1 more source