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In this note, we extend modular techniques for computing Gr\"obner bases from the commutative setting to the vast class of noncommutative $G$-algebras. As in the commutative case, an effective verification test is only known to us in the…

Rings and Algebras · Mathematics 2017-04-11 Wolfram Decker , Christian Eder , Viktor Levandovskyy , Sharwan K. Tiwari

In this paper we consider the problem of computing all possible order ideals and also sets connected to 1, and the corresponding border bases, for the vanishing ideal of a given finite set of points. In this context two different approaches…

Commutative Algebra · Mathematics 2017-07-10 Amir Hashemi , Martin Kreuzer , Samira Pourkhajouei

Deciding whether a graph can be embedded in a grid using only unit-length edges is NP-complete, even when restricted to binary trees. However, it is not difficult to devise a number of graph classes for which the problem is polynomial, even…

Data Structures and Algorithms · Computer Science 2012-04-13 Vinícius G. P. de Sá , Guilherme D. da Fonseca , Raphael Machado , Celina M. H. de Figueiredo

We consider ideals involving the maximal minors of a polynomial matrix. For example, those arising in the computation of the critical values of a polynomial restricted to a variety for polynomial optimisation. Gr\"obner bases are a…

Commutative Algebra · Mathematics 2022-03-21 Alin Bostan , Jérémy Berthomieu , Andrew Ferguson , Mohab Safey El Din

Border basis schemes are open subschemes of Hilbert schemes parametrizing 0-dimensional subschemes of $\mathbb{P}^n$ of given length. They yield open coverings and are easy to describe and to compute with. Our topic is to find re-embeddings…

Algebraic Geometry · Mathematics 2023-11-28 Martin Kreuzer , Le Ngoc Long , Lorenzo Robbiano

The Nemhauser-Trotter local optimization theorem applies to the NP-hard Vertex Cover problem and has applications in approximation as well as parameterized algorithmics. We present a framework that generalizes Nemhauser and Trotter's result…

Computational Complexity · Computer Science 2009-02-13 Michael R. Fellows , Jiong Guo , Hannes Moser , Rolf Niedermeier

Most feature detectors such as edge detectors or circle finders are statistical, in the sense that they decide at each point in an image about the presence of a feature, this paper describes the use of Bayesian feature detectors.

Computer Vision and Pattern Recognition · Computer Science 2013-04-15 David Sher

Sumsets are central objects in additive combinatorics. In 2007, Granville asked whether one can efficiently recognize whether a given set $S$ is a sumset, i.e. whether there is a set $A$ such that $A+A=S$. Granville suggested an algorithm…

Data Structures and Algorithms · Computer Science 2024-10-29 Amir Abboud , Nick Fischer , Ron Safier , Nathan Wallheimer

The main topic of the paper is the construction of various explicit flat families of border bases. To begin with, we cover the punctual Hilbert scheme Hilb^\mu(A^n) by border basis schemes and work out the base changes. This enables us to…

Commutative Algebra · Mathematics 2010-04-08 Martin Kreuzer , Lorenzo Robbiano

Efficient and robust data clustering remains a challenging task in the field of data analysis. Recent efforts have explored the integration of granular-ball (GB) computing with clustering algorithms to address this challenge, yielding…

Machine Learning · Computer Science 2024-05-16 Zihang Jia , Zhen Zhang , Witold Pedrycz

In this paper we present an algorithm for computing Groebner bases of linear ideals in a difference polynomial ring over a ground difference field. The input difference polynomials generating the ideal are also assumed to be linear. The…

Mathematical Physics · Physics 2009-11-11 Vladimir P. Gerdt

Shot boundary detection (SBD) is an important pre-processing step for video manipulation. Here, each segment of frames is classified as either sharp, gradual or no transition. Current SBD techniques analyze hand-crafted features and attempt…

Computer Vision and Pattern Recognition · Computer Science 2017-07-28 Ahmed Hassanien , Mohamed Elgharib , Ahmed Selim , Sung-Ho Bae , Mohamed Hefeeda , Wojciech Matusik

Parametric Gr\"obner bases have been studied for more than 15 years and are now a further developed subject. Here we propose a general study of parametric standard bases, that is with local orders. We mainly focus on the commutative case…

Commutative Algebra · Mathematics 2007-05-23 Rouchdi Bahloul

Decision-theoretic troubleshooting is one of the areas to which Bayesian networks can be applied. Given a probabilistic model of a malfunctioning man-made device, the task is to construct a repair strategy with minimal expected cost. The…

Artificial Intelligence · Computer Science 2013-08-02 Václav Lín

Shot boundary detection (SBD) is an important component of many video analysis tasks, such as action recognition, video indexing, summarization and editing. Previous work typically used a combination of low-level features like color…

Computer Vision and Pattern Recognition · Computer Science 2017-05-24 Michael Gygli

We conduct a comprehensive study on a new task named power battery detection (PBD), which aims to localize the dense cathode and anode plates endpoints from X-ray images to evaluate the quality of power batteries. Existing manufacturers…

Computer Vision and Pattern Recognition · Computer Science 2024-03-01 Xiaoqi Zhao , Youwei Pang , Zhenyu Chen , Qian Yu , Lihe Zhang , Hanqi Liu , Jiaming Zuo , Huchuan Lu

Anomaly detection is nowadays increasingly used in industrial applications and processes. One of the main fields of the appliance is the visual inspection for surface anomaly detection, which aims to spot regions that deviate from…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Niccolò Ferrari , Michele Fraccaroli , Evelina Lamma

The universal Gr\"obner basis of an ideal is a Gr\"obner basis with respect to all term orders simultaneously. The aim of this paper is to present an algorithmic approach to compute the universal Gr\"obner basis for the toric ideal…

Commutative Algebra · Mathematics 2019-04-23 Yannis C. Stamatiou , Christos Tatakis

Deep neural networks and in particular, deep neural classifiers have become an integral part of many modern applications. Despite their practical success, we still have limited knowledge of how they work and the demand for such an…

Machine Learning · Computer Science 2020-06-04 Hamid Karimi , Tyler Derr , Jiliang Tang

In this article, we introduce the concept of the boundary complexity and prove that for a 2-multiplicative integer system (2-MIS) $X^{p}_{\Omega}$ on $\mathbb{N}$ (or $X^{\bf p}_{\Omega}$ on $\mathbb{N}^d,d\geq 2$), every point in…

Dynamical Systems · Mathematics 2023-07-12 Jung-Chao Ban , Wen-Guei Hu , Guan-Yu Lai