Results 191 to 200 of about 1,769,588 (220)

Simple homotopy theory for Fukaya categories

Journal of Topology, Volume 19, Issue 3, September 2026.
Abstract We develop a categorical framework for simple homotopy theory in Fukaya categories, based on the fundamental group of the ambient symplectic manifold. When the first Chern class vanishes, we show that any isomorphism in the Fukaya category of a Weinstein manifold has trivial Whitehead torsion.
Yonghwan Kim
wiley   +1 more source

Human and artificial visual systems share a computational principle for transforming binocular disparity into depth representation. [PDF]

Commun Biol
Wundari BG, Fujita I, Ban H.
europepmc   +1 more source

Screening Property Rights for Innovation

Econometrica, Volume 94, Issue 5, Page 1849-1886, September 2026.
We develop a dynamic structural model of patent screening incorporating incentives, intrinsic motivation, and multiround negotiation. We use natural language processing to create a measure of patent distance, which together with detailed data on examiner decisions, enables us to estimate the model and study strategic decisions by applicants and ...
William Matcham, Mark Schankerman
wiley   +1 more source

Computing the alpha complex using dual active set quadratic programming. [PDF]

Sci Rep
Carlsson E, Carlsson J.
europepmc   +1 more source

On the Wasserstein Median of Probability Measures. [PDF]

J Comput Graph Stat
You K, Shung D, Giuffrè M.
europepmc   +1 more source

The completable digraphs for the totally nonnegative completion problem [PDF]

Linear Algebra and Its Applications, 2009
In this paper, we study the totally nonnegative completion problem when the partial totally nonnegative matrix is non-combinatorially symmetric. In general, this type of partial matrix does not have a totally nonnegative completion.
Cristina Jordan
exaly   +2 more sources

Intervals of totally nonnegative matrices

Linear Algebra and Its Applications, 2013
Totally nonnegative matrices, i.e., matrices having all their minors nonnegative, and matrix intervals with respect to the checkerboard ordering are considered.
Jürgen Garloff, Mohammad Adm
exaly   +3 more sources

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Nonnegative matrix factorization with bounded total variational regularization for face recognition

Pattern Recognition Letters, 2010
Nonnegative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of nonnegative data based on minimizing least square error (L"2 norm). However it has been observed that the proper norm for images is the bounded total variation (TV) norm other than the L"2 norm.
Haiqing Yin, Hongwei Liu 0001
openaire   +1 more source

Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing, 2017
Blind hyperspectral unmixing (HU), which includes the estimation of endmembers and their corresponding fractional abundances, is an important task for hyperspectral analysis. Recently, nonnegative matrix factorization (NMF) and its extensions have been widely used in HU.
Wei He, Hongyan Zhang, Liangpei Zhang
openaire   +2 more sources

Multiplicative principal-minor inequalities for totally nonnegative matrices [PDF]

Advances in Applied Mathematics, 2003
An m-by-n matrix A is said to be totally nonnegative if every minor of A is nonnegative. Our main interest lies in characterizing all the inequalities that exist among products of principal minors of totally nonnegative matrices.
Shaun Fallat
exaly   +2 more sources