We present a novel method for classifying emotions from static facial images. Our approach
leverages on the recent success of Convolutional Neural Networks (CNN) on face …

We present a simple approach for facial expression recognition from images using the
principle of sparse representation using a learned dictionary. Visual appearance based …

Facial expression is actually the main visual indication for the analysis of the underlying
human emotions. A machine with stronger intelligence in emotional recognition can …

Artificial intelligence applications are moving from special purpose, complementary,
datacenter-based uses to general, mission-critical, in-the-wild uses. With this change, AI …

ABSTRACT A sudden failure of a critical component in light-emitting diode (LED)
manufacturing equipment would result in unscheduled downtime, leading to a possibly …

For manufacturing enterprises, product quality is a key factor to assess production capability
and increase their core competence. To reduce external failure cost, many research and …

Sparse representations using overcomplete dictionaries have proved to be a powerful tool in
many signal processing applications such as denoising, super-resolution, inpainting …