Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently eva...
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
Multi-projector super-resolution is the dual of multi-camera superresolution. The goal of projector super-resolution is to produce a high resolution frame via superimposition of m...
Replicating data over a cluster of workstations is a powerful tool to increase performance, and provide faulttolerance for demanding database applications. The big challenge in su...
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...