This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
s Normal mode Rossby waves are simulated with an efficient Double Fourier Series (DFS) spectral model, and their structures are investigated by the Empirical Orthogonal Function (E...
Considering disaster sensitivity especially in developing large-scale, multiple-use parking structures, we propose dual-surveillance based SCADA (supervisory control and data acqui...