Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
This paper identifies a novel feature space to address the problem of human face recognition from still images. This is based on the PCA space of the features extracted by a new m...
Disability of visual text reading has a huge impact on the quality of life for visually disabled people. One of the most anticipated devices is a wearable camera capable of findi...
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
Enabling circuit switching in multiprocessor systems has the potential to achieve more efficient communication with lower cost compared to packet/wormhole switching. However, in ...
Shuyi Shao, Yu Zhang, Alex K. Jones, Rami G. Melhe...