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We consider the problem of finding anomalies in high-dimensional data using popular PCA based anomaly scores. The naive algorithms for computing these scores explicitly compute the PCA of the covariance matrix which uses space quadratic in…

Machine Learning · Computer Science 2018-11-28 Vatsal Sharan , Parikshit Gopalan , Udi Wieder

Consider the problem of registering multiple point sets in some $d$-dimensional space using rotations and translations. Assume that there are sets with common points, and moreover the pairwise correspondences are known for such sets. We…

Computer Vision and Pattern Recognition · Computer Science 2019-04-15 Sk. Miraj Ahmed , Niladri Ranjan Das , Kunal Narayan Chaudhury

We study anomalies of non-invertible duality symmetries in both 2d and 4d, employing the tool of the Symmetry TFT. In the 2d case we rephrase the known obstruction theory for the Tambara-Yamagami fusion category in a way easily…

High Energy Physics - Theory · Physics 2023-08-24 Andrea Antinucci , Francesco Benini , Christian Copetti , Giovanni Galati , Giovanni Rizi

In Alain Connes noncommutative geometry, the question of the existence of a non-trivial integral can be described in terms of the singular traceability of the compact operator |D|^(-d), D being the Dirac operator, namely of the existence of…

Operator Algebras · Mathematics 2007-05-23 Daniele Guido , Tommaso Isola

We apply the harmonic superspace approach for calculating the divergent part of the one-loop effective action of $6D$, ${\cal N}=(1,0)$ supersymmetric higher-derivative gauge theory with a dimensionless coupling constant. Our consideration…

High Energy Physics - Theory · Physics 2020-08-05 I. L. Buchbinder , E. A. Ivanov , B. S. Merzlikin , K. V. Stepanyantz

Most self-supervised 6D object pose estimation methods can only work with additional depth information or rely on the accurate annotation of 2D segmentation masks, limiting their application range. In this paper, we propose a 6D object pose…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Yang Hai , Rui Song , Jiaojiao Li , David Ferstl , Yinlin Hu

Training a unified model is considered to be more suitable for practical industrial anomaly detection scenarios due to its generalization ability and storage efficiency. However, this multi-class setting, which exclusively uses normal data,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-20 Jianlong Hu , Xu Chen , Zhenye Gan , Jinlong Peng , Shengchuan Zhang , Jiangning Zhang , Yabiao Wang , Chengjie Wang , Liujuan Cao , Rongrong Ji

We study aperiodic systems based on substitution rules by means of a transfer-matrix approach. In addition to the well-known trace map, we investigate the so-called `antitrace' map, which is the corresponding map for the difference of the…

Disordered Systems and Neural Networks · Physics 2007-05-23 Xiaoguang Wang , Uwe Grimm , Michael Schreiber

Let $D$ be a digraph of order $n$ with adjacency matrix $A(D)$. For $\alpha\in[0,1)$, the $A_{\alpha}$ matrix of $D$ is defined as $A_{\alpha}(D)=\alpha {\Delta}^{+}(D)+(1-\alpha)A(D)$, where…

Combinatorics · Mathematics 2024-11-13 Mushtaq A. Bhat , Peer Abdul Manan

We use the ambient space construction, in which spacetime is mapped into a special lightcone of a higher dimensional manifold, to derive the integrable terms of the trace anomaly in even dimensions. We argue that the natural topological…

High Energy Physics - Theory · Physics 2024-12-17 Gregorio Paci , Omar Zanusso

We show that three-dimensional trace anomalies lead to new universal anomalous transport effects on a conformally-flat spacetime with background scalar fields. In contrast to conventional anomalous transports in quantum chromodynamics (QCD)…

High Energy Physics - Theory · Physics 2020-09-01 Mamiya Kawaguchi , Ken Kikuchi

We compute the Konishi anomalous dimension perturbatively up to six loop using the finite set of functional equations derived recently by Gromov, Kazakov, Leurent and Volin. The recursive procedure can be in principle extended to higher…

High Energy Physics - Theory · Physics 2013-01-22 Sebastien Leurent , Didina Serban , Dmytro Volin

In recent years, anomaly detection has become an essential field in medical image analysis. Most current anomaly detection methods for medical images are based on image reconstruction. In this work, we propose a novel anomaly detection…

Computer Vision and Pattern Recognition · Computer Science 2023-01-20 Florentin Bieder , Julia Wolleb , Robin Sandkühler , Philippe C. Cattin

Anomalies of global symmetries provide important information on the quantum dynamics. We show the dynamical constraints can be organized into three classes: genuine anomalies, fractional topological responses, and integer responses that can…

Strongly Correlated Electrons · Physics 2026-01-14 Po-Shen Hsin , Ryohei Kobayashi , Carolyn Zhang

We make connections of a counting problem of Eulerian cycles for undirected graphs to homological spectral graph theory, and formulate explicitly a trace formula that identifies the number of Eulerian circuits on an Eulerian graph with the…

Combinatorics · Mathematics 2025-02-06 Ye Luo

Based on previous results of digital topology, this paper focuses on algorithms of topological invariants of objects in 2D and 3D Digital Spaces. We specifically interest in solving hole counting of 2D objects and genus of closed surface in…

Computational Geometry · Computer Science 2013-09-18 Li Chen

Objects with symmetries are common in our daily life and in industrial contexts, but are often ignored in the recent literature on 6D pose estimation from images. In this paper, we study in an analytical way the link between the symmetries…

Computer Vision and Pattern Recognition · Computer Science 2019-08-22 Giorgia Pitteri , Michaël Ramamonjisoa , Slobodan Ilic , Vincent Lepetit

We elucidate aspects of the one-loop anomalous dimension of $so(6)$-singlet multi-trace operators in $\mathcal{N}=4\ SU(N_c)$ SYM at finite $N_c$. First, we study how $1/N_c$ corrections lift the large $N_c$ degeneracy of the spectrum,…

High Energy Physics - Theory · Physics 2015-12-09 Yusuke Kimura , Ryo Suzuki

Anomaly detection (AD) is the identification of data samples that do not fit a learned data distribution. As such, AD systems can help physicians to determine the presence, severity, and extension of a pathology. Deep generative models,…

Image and Video Processing · Electrical Eng. & Systems 2021-04-12 Jaime Simarro , Ezequiel de la Rosa , Thijs Vande Vyvere , David Robben , Diana M. Sima

We introduce a method for extracting the cusp anomalous dimension at L loops from four-gluon amplitudes in N=4 Yang-Mills without evaluating any integrals that depend on the kinematical invariants. We show that the anomalous dimension only…

High Energy Physics - Theory · Physics 2008-11-26 Freddy Cachazo , Marcus Spradlin , Anastasia Volovich