In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Mobile networked environments are typically resource constrained in terms of the available bandwidth and battery capacity on mobile devices. Realtime video applications entail the ...
Suchendra M. Bhandarkar, Siddhartha Chattopadhyay,...
This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously pro...
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc J....
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
Deformable model fitting has been actively pursued in the computer vision
community for over a decade. As a result, numerous approaches have
been proposed with varying degrees of...