This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Abstract. The unrelenting pace of change that confronts contemporary software developers compels them to make their applications more configurable, flexible, and adaptable. A way t...
Negative Bias Temperature Instability (NBTI) has been identified as a major and critical reliability issue for PMOS devices in nano-scale designs. It manifests as a negative thres...
Kewal K. Saluja, Shriram Vijayakumar, Warin Sootka...
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....