Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
This paper presents a 3D approach to multi-view object class detection. Most existing approaches recognize object classes for a particular viewpoint or combine classifiers for a f...
: Many companies have recognized the strategic importance of the knowledge hidden in their large databases and have built data warehouses. Typically, updates are collected and appl...
We propose Satisfiability Checking (SAT) techniques that lead to a consistent performance improvement of up to 3x over state-ofthe-art SAT solvers like Chaff on important problem ...
Malay K. Ganai, Pranav Ashar, Aarti Gupta, Lintao ...
In the single rent-to-buy decision problem, without a priori knowledge of the amount of time a resource will be used we need to decide when to buy the resource, given that we can ...