Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Guanglu Zhou"'
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/856db3212cfe49d3a727cfdb033783d5
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
Externí odkaz:
https://doaj.org/article/99a592b1f389404581fcf1895ebd0fa5
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
Externí odkaz:
https://doaj.org/article/249ceca00edc4e879661587ed332a57d
Publikováno v:
Journal of Mathematical Imaging and Vision. 64:212-222
Preserving contour topology during image segmentation is useful in many practical scenarios. By keeping the contours isomorphic, it is possible to prevent over-segmentation and under-segmentation, as well as to adhere to given topologies. The Self-re
Publikováno v:
Journal of Global Optimization. 82:83-103
In this paper, we consider a class of fourth degree polynomial problems, which are NP-hard. First, we are concerned with the bi-quadratic optimization problem (Bi-QOP) over compact sets, which is proven to be equivalent to a multi-linear optimization
Publikováno v:
Journal of Global Optimization.
A nonnegativity preserving algorithm for multilinear systems with nonsingular ${\mathcal M}$-tensors
Publikováno v:
Numerical Algorithms. 87:1301-1320
This paper addresses multilinear systems of equations which arise in various applications such as data mining and numerical partial differential equations. When the multilinear system under consideration involves a nonsingular ${\mathscr{M}}$ -tensor
Publikováno v:
Optimization Methods and Software. 37:387-403
Sum-of-squares (SOS) tensors plays an important role in tensor positive definiteness and polynomial optimization. So it is important to figure out what kind of tensors are SOS tensors. In this pape...
Publikováno v:
Frontiers of Mathematics in China. 15:255-284
Tensor decomposition is an important research area with numerous applications in data mining and computational neuroscience. An important class of tensor decomposition is sum-of-squares (SOS) tensor decomposition. SOS tensor decomposition has a close
Publikováno v:
Linear Algebra and its Applications. 583:119-133
The well-known Birkhoff-von Neumann theorem states that a doubly stochastic matrix is a convex combination of permutation matrices. In this paper, we present a new concept for doubly stochastic tensors and study a generalization of this theorem for d