Convolutional Neural Networks for Gender Recognition

When: Thu, Oct 30, 10:30am – 11:30am, 2014
Where:  Mimos Lab, Faculty of Engineering and Science, UTAR, Kuala Lumpur, Malaysia
Admission: Free
Info: Event | Venue

Most computer vision methods relies heavily on hand-crafted features such as SIFT, LBP and HOG. Recently, deep learning methods, characterized by neural network architectures with many hidden layers, have become popular. In this paradigm, discriminative features are learnt by the network, thus enable it adapt to a different problem domain.

Deep convolutional neural networks has achieved state-of-the-art results in tasks such as traffic sign classification, large scale object recognition, pedestrian detection and action recognition. In this project, we study convolutional neural networks for the problem of gender classification.

Speaker Ng Choon Boon is a lecturer with the Department of Electrical and Electronics Engineering, Faculty of Engineering and Science, Universiti Tunku Abdul Rahman. He earned his Master of Computer Science and Bachelor of Electrical Engineering degrees from the University of Malaya.