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We present a new approach to singularity confinement which makes it an efficient and reliable discrete integrability detector. Our method is based on the full-deautonomisation procedure, which consists in analysing non-autonomous extensions…

Mathematical Physics · Physics 2015-10-28 Basil Grammaticos , Alfred Ramani , Ralph Willox , Takafumi Mase , Junkichi Satsuma

In this paper, we propose an anomaly detection algorithm for machine sounds with a deep complex network trained by self-supervision. Using the fact that phase continuity information is crucial for detecting abnormalities in time-series…

Audio and Speech Processing · Electrical Eng. & Systems 2023-12-22 Miseul Kim , Minh Tri Ho , Hong-Goo Kang

We develop a fully automatic image colorization system. Our approach leverages recent advances in deep networks, exploiting both low-level and semantic representations. As many scene elements naturally appear according to multimodal color…

Computer Vision and Pattern Recognition · Computer Science 2017-08-15 Gustav Larsson , Michael Maire , Gregory Shakhnarovich

The $J$-matrix method is extended to difference and $q$-difference operators and is applied to several explicit differential, difference, $q$-difference and second order Askey-Wilson type operators. The spectrum and the spectral measures…

Classical Analysis and ODEs · Mathematics 2014-04-17 Mourad E. H. Ismail , Erik Koelink

Although classical spectral analysis is a natural approach to characterise linear systems, it cannot describe a chaotic dynamics. Here, we propose the ordinal spectrum, a method based on a spectral transformation of symbolic sequences, to…

Data Analysis, Statistics and Probability · Physics 2020-09-08 Mario Chavez , Johann H. Martinez

In this paper we explore a new method of analysis of associative algebras.

Rings and Algebras · Mathematics 2007-05-23 Vladimir Dergachev

The article considers classification task of fractal time series by the meta algorithms based on decision trees. Binomial multiplicative stochastic cascades are used as input time series. Comparative analysis of the classification…

Networking and Internet Architecture · Computer Science 2019-05-09 Vitalii Bulakh , Lyudmyla Kirichenko , Tamara Radivilova

There are a variety of industrial products that possess periodic textures or surfaces, such as carbon fiber textiles and display panels. Traditional image-based quality inspection methods for these products require identifying the periodic…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Peng Ye , Chengyu Tao , Juan Du

Previous work in aesthetic categorization and explainability utilizes manual labeling and classification to explain aesthetic scores. These methods require a complex labeling process and are limited in size. Our proposed approach attempts…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Max Lisaius , Scott Wehrwein

The development of autonomous vehicles generates a tremendous demand for a low-cost solution with a complete set of camera sensors capturing the environment around the car. It is essential for object detection and tracking to address these…

Computer Vision and Pattern Recognition · Computer Science 2022-11-18 Pha Nguyen , Kha Gia Quach , Chi Nhan Duong , Son Lam Phung , Ngan Le , Khoa Luu

We investigate indeterminate points in discrete integrable system. They appear in singularity confinement phenomenon naturally. We develop a method to analyse indeterminate points of dynamical maps and using this method we clarify behaviour…

Exactly Solvable and Integrable Systems · Physics 2017-05-03 Yuki Wakimoto

The design of a complex system warrants a compositional methodology, i.e., composing simple components to obtain a larger system that exhibits their collective behavior in a meaningful way. We propose an automaton-based paradigm for…

Logic in Computer Science · Computer Science 2023-02-03 Tobias Kappé , Farhad Arbab , Carolyn Talcott

When employing non-linear methods to characterise complex systems, it is important to determine to what extent they are capturing genuine non-linear phenomena that could not be assessed by simpler spectral methods. Specifically, we are…

Methodology · Statistics 2021-09-22 Pedro A. M. Mediano , Fernando E. Rosas , Adam B. Barrett , Daniel Bor

In this paper, we propose two nonparametric methods used in the forecasting of functional time-dependent data, namely functional singular spectrum analysis recurrent forecasting and vector forecasting. Both algorithms utilize the results of…

Machine Learning · Statistics 2021-01-28 Jordan Trinka , Hossein Haghbin , Mehdi Maadooliat

Vehicle recognition and classification have broad applications, ranging from traffic flow management to military target identification. We demonstrate an unsupervised method for automated identification of moving vehicles from roadside…

Machine Learning · Statistics 2018-02-20 Justin Sunu , Blake Hunter , Allon G. Percus

We describe an automated method for assigning the most probable physical parameters to the components of an eclipsing binary, using only its photometric light curve and combined colors. With traditional methods, one attempts to optimize a…

Astrophysics · Physics 2008-11-26 Jonathan Devor , David Charbonneau

E-science of photometric data requires automatic procedures and a precise recognition of periodic patterns to perform science as well as possible on large data. Analytical equations that enable us to set the best constraints to properly…

Instrumentation and Methods for Astrophysics · Physics 2018-09-19 C. E. Ferreira Lopes , N. J. G. Cross , F. Jablonski

Spectral clustering and Singular Value Decomposition (SVD) are both widely used technique for analyzing graph data. In this note, I will present their connections using simple linear algebra, aiming to provide some in-depth understanding…

Social and Information Networks · Computer Science 2018-10-01 Ziwei Zhang

We apply a method recently devised by one of the authors to obtain an approximate analytical formula for the spectrum of a quantum anharmonic potential. Due to its general features the method can be applied with minimal effort to general…

Quantum Physics · Physics 2007-05-23 Paolo Amore , Jorge Lopez

This article focuses on the optimization of a complex system which is composed of several subsystems. On the one hand, these subsystems are subject to multiple objectives, local constraints as well as local variables, and they are…