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Found 4 papers, 0 papers with code
Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets
We believe that the considerations and observations made in this contribution are necessary for future smart meter research in order to report their effectiveness on imbalanced and large real world data sets.
Deep Learning For Smile Recognition
Inspired by recent successes of deep learning in computer vision, we propose a novel application of deep convolutional neural networks to facial expression recognition, in particular smile recognition.
Ranked #1 on
Smile Recognition
on DISFA
Deep Convolutional Neural Networks for Smile Recognition
It then provides a literature review of convolutional neural networks and recurrent neural networks.
Comparison of Training Methods for Deep Neural Networks
It then provides a literature review of training methods for deep neural networks, with a focus on pre-training.
