This paper proposes a novel approach for robust face detection based on our enhanced Hausdorff Distance (HD). A major aim of this research is to achieve a highly efficient method ...
This research features a novel approach that efficiently detects depth edges in real world scenes. Depth edges play a very important role in many computer vision problems because t...
Jiyoung Park, Cheolhwon Kim, Juneho Yi, Matthew Tu...
Algorithms that detect silhouettes, creases, and other edge based features often perform per-edge and per-face mesh computations using global adjacency information. These are unsu...
Distinguishing speculative statements from factual ones is important for most biomedical text mining applications. We introduce an approach which is based on solving two sub-probl...
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...