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\nFrom the content: Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classifiers.- On the Design of Low Redundancy Error-Correcting Output Codes.- Minimally-Sized Balanced Decomposition Schemes for Multi-Class\nClassification.-...
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From the content: Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classifiers.- On the Design of Low Redundancy Error-Correcting Output Codes.- Minimally-Sized Balanced Decomposition Schemes for Multi-Class\nClassification.- Bias-Variance Analysis of ECOC and Bagging Using Neural Nets.- Fast-ensembles of Minimum Redundancy Feature Selection.
\n ukryj opis- Wydawnictwo: Springer, Berlin
- Kod:
- Rok wydania: 2016
- Język: Angielski
- Oprawa: Miękka
- Liczba stron: 252
- Szerokość opakowania: 16 cm
- Wysokość opakowania: 23.7 cm
- Głębokość opakowania: 1.4 cm
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