Results 61 to 70 of about 21,847 (188)
Blind nonnegative source separation using biological neural networks
, 2017 Blind source separation, i.e. extraction of independent sources from a mixture, is an important problem for both artificial and natural signal processing.
Chklovskii, Dmitri B. +2 more
core +1 more source
Dynamic Event‐Triggered Robust Model Predictive Control for Quadrotor Trajectory Tracking
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper addresses the trajectory tracking problem for a full‐state quadrotor subject to physical model constraints and unknown external disturbances. A robust tube‐based model predictive control (MPC) approach is successfully applied to the system, which is subject to bounded disturbances and hard constraints.
Ali Can Erüst +2 more
wiley +1 more source
Completion, extension, factorization, and lifting of operators with a negative index [PDF]
, 2014 The famous results of M.G. Kre\u{\i}n concerning the description of selfadjoint contractive extensions of a Hermitian contraction $T_1$ and the characterization of all nonnegative selfadjoint extensions $\widetilde A$ of a nonnegative operator $A$ via ...
Baidiuk, D., Hassi, S.
core
Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments
Journal of Field Robotics, EarlyView.ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun +5 more
wiley +1 more source
The matching polytope does not admit fully-polynomial size relaxation schemes
, 2015 The groundbreaking work of Rothvo{\ss} [arxiv:1311.2369] established that every linear program expressing the matching polytope has an exponential number of inequalities (formally, the matching polytope has exponential extension complexity).
Braun, Gábor, Pokutta, Sebastian
core +1 more source
A new smooth failure criterion for concrete inspired by Lubliner's condition
Structural Concrete, EarlyView.Abstract A new failure criterion with 10 parameters is proposed, based on Lubliner's idea of joining two Drucker–Prager cones. The novelty lies in the way of introducing deviatoric shape variation: through two Podgórski's functions. This feature allows for improving plane stress cross‐section's compatibility with experimental data.
Inez Kamińska, Aleksander Szwed
wiley +1 more source
Stochastic Multiplicative Updates for Symmetric Nonnegative Matrix Factorization
, 2021 Innen maskinlæring brukes symmetrisk ikkenegativ matrisefaktorisering (NMF) i forbindelse med clusteranalyse. NMF utføres ofte ved hjelp av algoritmer som tar i bruk multiplikative oppdateringer (MU). Disse har den fordelen at de automatisk opprettholder ikkenegativitet i faktormatrisen.
Schlüter, Klara, Riege, Jon
openaire +2 more sources
Clustering and Latent Semantic Indexing Aspects of the Nonnegative Matrix Factorization [PDF]
, 2011 This paper provides a theoretical support for clustering aspect of the nonnegative matrix factorization (NMF). By utilizing the Karush-Kuhn-Tucker optimality conditions, we show that NMF objective is equivalent to graph clustering objective, so ...
Mirzal, Andri
core
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
International Economic Review, EarlyView.ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source
Fast and Effective Algorithms for Symmetric Nonnegative Matrix Factorization
, 2016 Symmetric Nonnegative Matrix Factorization (SNMF) models arise naturally as simple reformulations of many standard clustering algorithms including the popular spectral clustering method. Recent work has demonstrated that an elementary instance of SNMF provides superior clustering quality compared to many classic clustering algorithms on a variety of ...
Borhani, Reza +2 more
openaire +2 more sources