multi-stage classifier
[/ˈmʌlti steɪdʒ ˈklæsɪfaɪər/]
nounpl: multi-stage classifiers
classificador multi-estágio
1. A machine learning or statistical system that performs classification through multiple sequential or hierarchical stages, where each stage refines the classification decisions made by previous stages
The multi-stage classifier first filters out obvious negative cases before applying more complex analysis to borderline instances.
O classificador multi-estágio primeiro filtra os casos negativos óbvios antes de aplicar análise mais complexa às instâncias ambíguas.
2. A cascaded classification framework commonly used in computer vision and pattern recognition to improve accuracy and computational efficiency
The face detection system uses a multi-stage classifier to progressively eliminate non-face regions.
O sistema de detecção facial utiliza um classificador multi-estágio para eliminar progressivamente regiões que não são rosto.
This term is primarily used in technical and academic contexts in both Brazil and the USA within machine learning, computer vision, and artificial intelligence fields. It is particularly prominent in software development communities, data science research, and engineering publications. The concept gained significant popularity with the widespread use of Haar Cascade classifiers for face detection in open-source projects like OpenCV.
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