We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
We propose a novel method for temporally and spatially corresponding moving objects by automatically learning the relevance of the objects' appearance features to the task of...
Mahesh Saptharishi, John B. Hampshire II, Pradeep ...
This paper presents an e-Learning Web-reachable hypermedia system as the foundation of a course content development toolset. Course content, developed in XML, is stored in native X...