feature vector
[/ˈfiːtʃər ˈvɛktər/]
nounpl: feature vectors
vetor de características
1. A mathematical representation of an object or data point as an ordered list of numerical values, where each value represents a measurable property or attribute of that object, commonly used in machine learning and pattern recognition.
In image recognition, a feature vector might contain pixel intensity values that describe the contents of an image.
No reconhecimento de imagens, um vetor de características pode conter valores de intensidade de pixels que descrevem o conteúdo de uma imagem.
2. A data structure used in machine learning algorithms to extract and represent the essential characteristics of raw input data in a form suitable for computational processing.
The machine learning model extracts a feature vector from each customer's purchasing history to predict buying behavior.
O modelo de aprendizado de máquina extrai um vetor de características do histórico de compras de cada cliente para prever o comportamento de compra.
This is technical terminology used primarily in academic, research, and professional software development contexts. It is essential vocabulary in Brazilian and Portuguese tech communities, particularly in AI and data science fields. The term is rarely used in casual conversation and is specific to machine learning and computer science domains.
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