— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
We consider the problem of ranking assignments according to cost in the classical linear assignment problem. An algorithm partitioning the set of possible assignments, as suggeste...
Christian Roed Pedersen, Lars Relund Nielsen, Kim ...
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Integer addition is one of the most important operations in digital computer systems because the performance of processors is significantly influenced by the speed of their adde...
Fu-Chiung Cheng, Stephen H. Unger, Michael Theobal...
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...