Results 171 to 180 of about 2,535,217 (348)
NONNEGATIVE MATRIX FACTORIZATION
, 2013 The purpose of this project was to study the nonnegative matrix factorization (NNMF) problem: Given a nonnegative matrix V, find the” best” nonnegative matrices W and H, such that V WH.
Humpherys, Dr. Jeffrey +1 more
core
Semi-Supervised Nonnegative Matrix Factorization
, 2018 Nonnegative matrix factorization (NMF) is a popular method for low-rank approximation of nonnegative matrix, providing a useful tool for representation learning that is valuable for clustering and classification.
Yoo, J, Lee, H, Choi, S
core +1 more source
Product Positioning and Incentives to Innovate
Journal of Economics &Management Strategy, EarlyView.ABSTRACT This paper shows that product positioning affects the incentives to invest in process innovation. The result is found using a model of price competition with three firms under horizontal product differentiation—and then extended to a more general Bertrand triopoly.
Emanuele Bacchiega, Paolo G. Garella
wiley +1 more source
ACCOUNTING FOR PHASE CANCELLATIONS IN NON-NEGATIVE MATRIX FACTORIZATION USING WEIGHTED DISTANCES
, 2014 (c)2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Ewert, S, Plumbley, MD, Sandler, M, IEEE
core
Journal of Microscopy, EarlyView.Abstract Grain identification in polycrystalline nanoparticles, for example, determining which crystal phases are present at each spatial location, is fundamental to materials characterisation. This is particularly challenging when grains overlap extensively, as commonly occurs in four‐dimensional scanning transmission electron microscopy (4D‐STEM ...
Wei Liu +5 more
wiley +1 more source
Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization. [PDF]
J Imaging, 2021 Fernsel P.
europepmc +1 more source
Nonnegative square roots of nonnegative matrices
, 2014 By a square root of a (square) matrix A we mean a matrix B that satisfies B2 = A. The study of square roots or pth roots of a general (real or complex) matrix can be traced back to the early work of Cayley [1], [2], Sylvester [11], Frobenius [6] in the ...
譚必信
core
Detecting Informed Trading Risk from Undercutting Activity
The Journal of Finance, EarlyView.ABSTRACT We introduce a simple measure of informed trading risk, QIDres$QID^{res}$, the residual to liquidity quote‐improvement‐to‐deterioration ratio times −1$-1$. When facing with increased informed trading risk, liquidity providers compete less to provide liquidity, reducing their undercutting activity. Reductions in undercutting leave footprints in
YASHAR H. BARARDEHI +2 more
wiley +1 more source
Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. [PDF]
J Imaging, 2021 Dröge H +5 more
europepmc +1 more source
On the closest stable/unstable nonnegative matrix and related stability radii
, 2018 We consider the problem of computing the closest stable/unstable nonnegative matrix to a given real matrix. The distance between matrices is measured in the Frobenius norm.
Protasov, Vladimir Yu. +1 more
core +1 more source