META 发表于 2025-3-23 12:07:35
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iding a mathematical foundation upon which data fusion algorithms can be constructed and analyzed. The methodology that we present in this text is mo tivated b978-1-4419-5126-7978-1-4757-2076-1Series ISSN 0893-3405密码 发表于 2025-3-24 05:35:20
e to each instantaneous displacement, up to the global cumulative image displacement. These errors can be evaluated and reduced using a simple procedure, in which the computed image displacement is combined with a prediction based on the contour trajectory extrapolated from the preceding frames..ExpSpangle 发表于 2025-3-24 06:40:33
Dagmar Gehld fusion rules are described, as well as fusion under a priori knowledge. It is shown that the possibilistic setting is compatible with the Bayesian approach to fusion, the main difference being the presupposed existence, or not, of prior knowledge. The approach applies to sensor fusion, aggregation说不出 发表于 2025-3-24 13:57:52
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r we propose one approach for improving the performance of machine learning algorithms by integrating the knowledge provided by ontologies. The basic idea is to redefine the concept of similarity for complex heterogeneous data by incorporating available ontological knowledge, creating a bridge betweInclement 发表于 2025-3-24 21:00:03
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Dagmar Gehl interfaces and clickable images, we hypothesised that a simplified interface supported by smooth zooming will help the user in their work. The user study confirmed our expectations, as more users correctly completed data finding tasks in VisGenome than in Ensembl. This shows that improved interacti