feature concatenation
[/ˈfiːtʃər kənˌkætəˈneɪʃən/]
nounfemininepl: feature concatenations / concatenações de características
concatenação de características
1. A machine learning technique that combines multiple feature vectors or arrays into a single unified vector by joining them end-to-end
In the neural network, feature concatenation was used to merge the output from two separate branches before the final classification layer.
Na rede neural, a concatenação de características foi usada para mesclar a saída de dois ramos separados antes da camada de classificação final.
2. The process of sequentially combining extracted features from different data sources or model layers to create a composite feature representation
Feature concatenation allows the model to leverage information from multiple input modalities simultaneously.
A concatenação de características permite que o modelo aproveite informações de múltiplas modalidades de entrada simultaneamente.
This is a specialized technical term primarily used in the machine learning and artificial intelligence communities. Both in Brazil and the USA, professionals often use the English term 'feature concatenation' even in Portuguese-language technical discussions, though the Portuguese translation 'concatenação de características' is the formal equivalent. In Brazilian tech hubs like São Paulo, it's common to see code comments and documentation using a mix of English and Portuguese technical terminology.
Look up more words on Fala2Me
The free English-Portuguese dictionary with real Brazilian accents, NYC slang, conjugator and more
Open Fala2Me →