Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
— This paper addresses the problem of laser scanner failure on mirrors and windows. Mirrors and glasses are quite common objects that appear in our daily lives. However, while la...
SIMD (single instruction multiple data)-type processors have been found very efficient in image processing applications, because their repetitive structure is able to exploit the...
Raymond Frijns, Hamed Fatemi, Bart Mesman, Henk Co...
Abstract—We study the problem of dynamic resource allocation to clustered Web applications. We extend application server middleware with the ability to automatically decide the s...
David Carrera, Malgorzata Steinder, Ian Whalley, J...