4   Artículos

 
en línea
Libero Nigro and Franco Cicirelli    
K-Means is a ?de facto? standard clustering algorithm due to its simplicity and efficiency. K-Means, though, strongly depends on the initialization of the centroids (seeding method) and often gets stuck in a local sub-optimal solution. K-Means, in fact, ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Alexandros Stergiou, Grigorios Kalliatakis and Christos Chrysoulas    
To deal with the richness in visual appearance variation found in real-world data, we propose to synthesise training data capturing these differences for traffic sign recognition. The use of synthetic training data, created from road traffic sign templat... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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