Using convolutional neural networks to discover cogntively validated features for gender classification

Proceedings - 2014 International Conference on Soft Computing and Machine Intelligence, ISCMI 2014

Volumn , Issue , 2014, Pages 33-37

  Verma, Ankit ^a   Vig, Lovekesh ^a  

^a JAWAHARLAL NEHRU UNIVERSITY   (India)

Author keywords

backpropagation algorithm; convolutional neural network; gender classification; horizontal flipping; L2 Regularization

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION ALGORITHMS; CONVOLUTION; DECISION TREES; FACE RECOGNITION; NEURAL NETWORKS; SOCIAL SCIENCES; SOFT COMPUTING;

CONVOLUTION NEURAL NETWORK; CONVOLUTIONAL NEURAL NETWORK; FACE DETECTION AND RECOGNITION; GENDER CLASSIFICATION; HORIZONTAL FLIPPING; L2 REGULARIZATION; RANDOM FOREST CLASSIFIER; REGULARIZATION TECHNIQUE;

CLASSIFICATION (OF INFORMATION);

EID: 84946530995     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCMI.2014.17     Document Type: Conference Paper

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