About: Rejecta Mathematica is an academic journal. The journal publishes majorly in the area(s): Linear subspace & Sparse approximation. It has an ISSN identifier of 1948-8351. Over the lifetime, 1 publications have been published receiving 2 citations.
TL;DR: A new classification framework that can extract individual features per class based on a model of incoherent subspaces, each one associated to one class, and a model on how the elements in a class are represented in this subspace is presented.
Abstract: In this article we present a signal model for classification based on a collection of low dimensional subspaces embedded into the high dimensional signal space. We develop an alternate projection algorithm to find such a collection and finally test the classification performance of our scheme in comparison to Fisher's LDA and a recent approach based on sparse approximation.