Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal Clustering

Jun Luo; Bao‐Liang Lu

doi:10.1007/11760023_31

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Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal Clustering

Jun Luo Bao‐Liang Lu

Year: 2006 Lecture notes in computer science Pages: 210-215 Publisher: Springer Science+Business Media

DOI: 10.1007/11760023_31

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Keywords:

Cluster analysis Support vector machine Computer science Modular design Pattern recognition (psychology) Artificial intelligence Task (project management) Set (abstract data type) Machine learning Data mining Engineering

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal Clustering

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