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- Lorenzo Finesso
- 2008

In this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elementwise) nonnegative matrix V âˆˆ R + find, for assigned k, nonnegative matrices W âˆˆ R + and H âˆˆ R kÃ—n + suchâ€¦ (More)

In this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elementwise) nonnegative matrix V âˆˆ R + find, for assigned k, nonnegative matrices W âˆˆ R + and H âˆˆ R kÃ—n + suchâ€¦ (More)

- Lorenzo Finesso, Chuang-Chun Liu, Prakash Narayan
- IEEE Trans. Information Theory
- 1996

AbstructWe consider the problem of estimating the order of a stationary ergodic Markov chain. Our focus is on estimators which satisfy a generalized Neyman-Pearson criterion of optimality.â€¦ (More)

- Laurent Mevel, Lorenzo Finesso
- IEEE Transactions on Automatic Control
- 2004

This paper deals with the problem of modeling data generated by an ergodic stochastic process as the output of a hidden Markov model (HMM). More specifically, we consider the problem of fitting aâ€¦ (More)

- Lorenzo Finesso, Angela Grassi, Peter Spreij
- MCSS
- 2010

Stochastic realization is still an open problem for the class of hidden Markov models (HMM): given the law Q of an HMM find a finite parametric description of it. Fifty years after the introductionâ€¦ (More)

- Beatrice Tomasi, Paolo Casari, Lorenzo Finesso, Giovanni Zappa, Kim McCoy, Michele Zorzi
- 2010 - MILCOM 2010 MILITARY COMMUNICATIONSâ€¦
- 2010

In this paper, we investigate how to represent the packet error process in a shallow water acoustic channel by means of Markov as well as hidden Markov models. To train the models, we employâ€¦ (More)

A typical problem in Thermal Nondestructive Testing/Evaluation (TNDT/E) is that of unsupervised feature extraction from the experimental data. Matrix factorization methods (MFMs) are mathematicalâ€¦ (More)

- Lorenzo Finesso, LÃ¡szlÃ³ GerencsÃ©r, IldikÃ³ Kmecs
- 1999 European Control Conference (ECC)
- 1999

The purpose of this paper is to formulate and study the problem of system identification with Gaussian noise and quantized observations. The prime examples that we study are Gaussian AR(1)-systemsâ€¦ (More)

where H is a deterministic matrix, X and Îµ independent random vectors, the first with dimension smaller than Y , the second with independent components. What makes this model attractive in appliedâ€¦ (More)

- Lorenzo Finesso
- 1990

In this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elementwise) nonnegative matrix V âˆˆ R + find, for assigned k, nonnegative matrices W âˆˆ R + and H âˆˆ R kÃ—n + suchâ€¦ (More)