Results 61 to 70 of about 7,479,882 (285)
MCMNET: Multi-Scale Context Modeling Network for Temporal Action Detection
Sensors, 2023 Temporal action detection is a very important and challenging task in the field of video understanding, especially for datasets with significant differences in action duration.
Haiping Zhang +4 more
doaj +1 more source
Temporal context effects on suboptimal choice. [PDF]
Psychon Bull RevAbstractChoice can be driven both by rewards and stimuli that signal those rewards. Under certain conditions, pigeons will prefer options that lead to less probable reward when the reward is signaled. A recently quantified model, the Signal for Good News (SiGN) model, assumes that in the context of uncertainty, signals for a reduced delay to reward ...
McDevitt MA +3 more
europepmc +3 more sources
FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Spatio-Temporal Context for Action Detection
CoRR, 2021 Computer Vision and Pattern Recognition ...
Manuel Sarmiento Calderó +2 more
openaire +2 more sources
Global models for temporal relation classification [PDF]
, 2008 textTemporal relation classification is one of the most challenging areas of natural language processing. Advances in this area have direct relevance to improving practical applications, such as question-answering and summarization systems, as well as ...
Ponvert, Elias Franchot
core
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
A context-change account of temporal distinctiveness [PDF]
Memory & Cognition, 2019 The distinctiveness effect refers to the finding that items that stand out from other items in a learning set are more likely to be remembered later. Traditionally, distinctiveness has been defined based on item features; specifically, an item is deemed to be distinctive if its features are different from the features of other to-be-learned items.
Brian M, Siefke +2 more
openaire +2 more sources
Rapid calibration to dynamic temporal contexts
Quarterly Journal of Experimental Psychology, 2023 The prediction of future events and the preparation of appropriate behavioural reactions rely on an accurate perception of temporal regularities. In dynamic environments, temporal regularities are subject to slow and sudden changes, and adaptation to these changes is an important requirement for efficient behaviour. Bayesian models have proven a useful
Darren Rhodes +3 more
openaire +2 more sources
Spatial-Temporal Contextual Aggregation Siamese Network for UAV Tracking
DronesIn recent years, many studies have used Siamese networks (SNs) for UAV tracking. However, there are two problems with SNs for UAV tracking. Firstly, the information sources of the SNs are the invariable template patch and the current search frame.
Qiqi Chen +4 more
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source