Gender classification with support vector machines

By Baback Moghaddam, Ming-Hsuan Yang. Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), 2000

335 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/8645e5769b5d76804acf0d327c42f119bdd937a8

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In Computer Vision and Pattern Recognition

Citations in the corpus

Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces (2008, methodology): “Recommended for acceptance by M.-H. Yang.”
Comparing different classifiers for automatic age estimation (2004, background): “In this context, systems capable of identifying faces [14], recognizing emotions [19], gender [17], and head orientation [16] have been developed.”
Neighborhood repulsed metric learning for kinship verification (2012, neutral): “Representative examples include face recognition [5], [8], [10], [20], [22], [27], [28], [35], [37], [40], [41], [42], [43], [54], [55], [56], [58], [64], [65], [66], [67], [68], facial expression recognition [11], [18], [70], facial age estimation [19], [21], [24], [25], [31], [39], gender classifi”
Learning Gender with Support Faces (2002, neutral): “ÔåÅÐÔSÉSÎ"ÊXÓ)É Å Ë)ÑKÎ ØAÊXÏXÉ Ó)ÇûÉ Ê(ÙÚÇ ÓxÓ+É Ê ÊXÓ)ËxÒ[Æ"Å(ÔSÑæÅ É ÅÐËxÑKÎ"Ê0Þ XÆ"ÑKÙ3ÎýË Îýã Ë)Ò ÞZ >É Ø Å Æ Ë)ÊAÊ î Ê0Å ÇOÝ Ë)ÊAç Ç Ê0ÏKÔIË È Ç çíË Îûç Ç ÅÐÉ ËxÓ.”
Recent advances in visual and infrared face recognition - a review (2005, methodology): “SVM has applied to face recognition [99–102] and gender classification [103].”
Demographic Estimation from Face Images: Human vs. Machine Performance (2015, background): “Moghaddam and Yang (2000) [37] Raw intensity FERET (1,044, 711) Studied on 254 face images 96.”