A heuristic algorithm for enhancing the robustness of scale-free networks based on edge classification
Sign Up to like & getrecommendations! Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.02.173
Abstract: Abstract The essential of existing methods for promoting network robustness is randomly exchanging the edges of networks. Without considering the network structure, the performance of these algorithms is limited. Therefore, we put forward a way… read more here.
Keywords: scale free; free networks; robustness scale; based edge ... See more keywords
Use of local image information in depth edge classification by humans and neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Vision"
DOI: 10.1167/18.10.128
Abstract: Humans can use local cues to distinguish image edges caused by a depth change from other types of edges (Vilankar et al., 2014). But which local cues? Here we use the SYNS database (Adams et… read more here.
Keywords: depth; image; use local; neural networks ... See more keywords
Color improves edge classification in human vision
Sign Up to like & getrecommendations! Published in 2019 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1007398
Abstract: Despite the complexity of the visual world, humans rarely confuse variations in illumination, for example shadows, from variations in material properties, such as paint or stain. This ability to distinguish illumination from material edges is… read more here.
Keywords: color; illumination material; edge classification;