This paper introduces “Flocks of Features,” a fast tracking method for non-rigid and highly articulated objects such as hands. It combines KLT features and a learned foregroun...
Images rendered using global illumination algorithms are considered amongst the most realistic in 3D computer graphics. However, this high fidelity comes at a significant comput...
Peter Longhurst, Kurt Debattista, Richard Gillibra...
A general model is proposed for studying ranking problems. We investigate learning methods based on empirical minimization of the natural estimates of the ranking risk. The empiric...
This paper describes features and methods for document image comparison and classification at the spatial layout level. The methods are useful for visual similarity based document...
Jianying Hu, Ramanujan S. Kashi, Gordon T. Wilfong
This paper presents a novel and fast k-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM in...