Recursive Least Squares for an Entropy Regularized MSE Cost Function (2008)
Deniz Erdogmus, Ana N. Rao, Jose C. Principe
Abstract. Minimum MSE plays an indispensable role in learning and adaptation of neural systems. Nevertheless, the instantaneous value of the modeling error alone does not convey sufficient...
Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures (2008)
Jian-wu Xu, Deniz Erdogmus, Ana N. Rao, José Carlos Príncipe
Abstract. Recently, the authors developed the Minimax Mutual Information algorithm for linear ICA of real-valued mixtures, which is based on a density estimate stemming from Jaynes ’ maximum...
RECURSIVE PRINCIPAL COMPONENTS ANALYSIS USING EIGENVECTOR MATRIX PERTURBATION (2008)
Deniz Erdogmus, Ana N. Rao, Hemanth Peddaneni, Anant Hegde, Jose C. Principe
Abstract. Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where...
Vector- quantization by density matching in the minimum Kullback–Leibler divergence sense (2004)
Anant Hegde, Deniz Erdogmus, Tue Lehn-schioler, Ana N. Rao, Jose C. Principe
Abstract – Representation of a large set of highdimensional data is a fundamental problem in many applications such as communications and biomedical systems. The problem has been tackled by...