Results 101 to 110 of about 137,800 (236)
Discriminative Multiview Nonnegative Matrix Factorization for Classification
IEEE Access, 2019 Multiview nonnegative matrix has shown many promising applications in computer vision and pattern recognition. However, most existing works focus on view consistency and ignore discrimination.
Weihua Ou +4 more
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, 2017 This paper explicitly details the relation between $M$-matrices, nonnegative roots of nonnegative matrices, and the embedding problem for finite-state stationary Markov chains.
Van-Brunt, Alexander
core
The peripheral spectrum of a nonnegative matrix
Linear Algebra and its Applications, 2003 AbstractIn this paper we provide a necessary and sufficient condition for a collection of Jordan blocks to correspond to the peripheral spectrum of a nonnegative matrix. We arrive at our condition by linking the Tam–Schneider condition to the level sets (with respect to the spectral radius) of a nonnegative matrix.
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Informational Differences, Adaptive Learning, and Inflation Forecast Bias
International Studies of Economics, EarlyView.ABSTRACT This work highlights a previously overlooked factor that contributes to bias in private inflation forecasts—ignorance of confidential monetary rules. Additionally, it examines how this ignorance indirectly affects policy rate settings. The model proposed reconciles biases in two key forecast sources: the inflation expectations from the Survey ...
Qiang Chen, Zechen Yin
wiley +1 more source
Higher Spin Alternating Sign Matrices [PDF]
, 2007 We define a higher spin alternating sign matrix to be an integer-entry square matrix in which, for a nonnegative integer r, all complete row and column sums are r, and all partial row and column sums extending from each end of the row or column are ...
Behrend, Roger E., Knight, Vincent A.
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Manipulation Test for Multidimensional RDD
Journal of Applied Econometrics, EarlyView.ABSTRACT The causal inference model for the regression discontinuity design (RDD) relies on assumptions that imply the continuity of the density of the assignment (running) variable. The test for this implication is commonly referred to as the manipulation test and is regularly reported in applied research to strengthen the design's validity.
Federico Crippa
wiley +1 more source
Predicting epileptic seizures using nonnegative matrix factorization.
PLoS ONE, 2020 This paper presents a procedure for the patient-specific prediction of epileptic seizures. To this end, a combination of nonnegative matrix factorization (NMF) and smooth basis functions with robust regression is applied to power spectra of intracranial ...
Olivera Stojanović +2 more
doaj +1 more source
, 2013 In this note, we establish some connection between the nonnegative inverse eigenvalue problem and that of doubly stochastic one. More precisely, we prove that if $(r; {\lambda}_2, ..., {\lambda}_n)$ is the spectrum of an $n\times n$ nonnegative matrix A ...
Mourad, Bassam
core
Advances in Nonnegative Matrix and Tensor Factorization
Computational Intelligence and Neuroscience, 2008 Nonnegative matrix factorization (NMF) and its extension known as nonnegative tensor factorization (NTF) are emerging techniques that have been proposed recently. The goal of NMF/NTF is to decompose a nonnegative data matrix into a product of lower-rank nonnegative matrices or tensors (i.e., multiway arrays).
Wang, W +4 more
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Computing Closest Stable Nonnegative Matrix
SIAM Journal on Matrix Analysis and Applications, 2020 The problem of finding the closest stable matrix for a dynamical system has many applications. It is studied for both continuous and discrete-time systems and the corresponding optimization problem...
PROTASOV, Vladimir, Nesterov Y.
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