W e explore a n image compression scheme that does not rely o n the usual additive decomposition of a n input image into a set of predefined spanning functions. The proposed schem...
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
Spectral decomposition of mesh geometry has first been introduced by Taubin for geometry processing purposes. It has been extended to address transmission issues by Karni & Go...
This paper discusses a method for the construction of nonlinear 2D wavelet decompositions using an adaptive update lifting scheme. A very interesting aspect is that the decomposit...
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...