—This paper assesses the performance of measures of facial expression dynamics derived from the Computer Expression Recognition Toolbox (CERT) for classifying emotions in the Fac...
Gwen Littlewort, Jacob Whitehill, Tingfan Wu, Nich...
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
— In this paper, a novel approach to Arabic letter recognition is proposed. The system is based on the classified vector quantization (CVQ) technique employing the minimum distan...