Face identification systems relying on local descriptors are increasingly used because of their perceived robustness with respect to occlusions and to global geometrical deformati...
Sub-threshold operation is a compelling approach for energyconstrained applications, but increased sensitivity to variation must be mitigated. We explore variability metrics and t...
Many scientific simulations are large programs which despite careful debugging and testing will probably contain errors when deployed to the Web for use. Based on the assumption ...
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
Current state-of-the-art methods in variational image segmentation using level set methods are able to robustly segment complex textured images in an unsupervised manner. In recent...