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Automatic authentication of paper money has been targeted. Indian bank notes are taken as reference to show how a system can be developed for discriminating fake notes from genuine ones. Image processing and pattern recognition techniques…

Computer Vision and Pattern Recognition · Computer Science 2015-06-09 Ankush Roy , Biswajit Halder , Utpal Garain , David S. Doermann

We consider the problem of estimating the counterfactual joint distribution of multiple quantities of interests (e.g., outcomes) in a multivariate causal model extended from the classical difference-in-difference design. Existing methods…

Machine Learning · Statistics 2023-11-03 Thong Pham , Shohei Shimizu , Hideitsu Hino , Tam Le

We give an overview of different approaches to measuring the similarity of, or the distance between, two graphs, highlighting connections between these approaches. We also discuss the complexity of computing the distances.

Discrete Mathematics · Computer Science 2025-03-19 Martin Grohe

Duplicate detection is the problem of identifying whether a given item has previously appeared in a (possibly infinite) stream of data, when only a limited amount of memory is available. Unfortunately the infinite stream setting is…

Data Structures and Algorithms · Computer Science 2020-05-12 Rémi Géraud-Stewart , Marius Lombard-Platet , David Naccache

In this paper, a family of five-weight reducible cyclic codes is presented. Furthermore, the weight distribution of these cyclic codes is determined, which follows from the determination of value distributions of certain exponential sums.

Information Theory · Computer Science 2015-02-13 Yan Liu , Haode Yan

Anomaly detection is not an easy problem since distribution of anomalous samples is unknown a priori. We explore a novel method that gives a trade-off possibility between one-class and two-class approaches, and leads to a better performance…

Machine Learning · Statistics 2020-05-26 Maxim Borisyak , Artem Ryzhikov , Andrey Ustyuzhanin , Denis Derkach , Fedor Ratnikov , Olga Mineeva

We present a variation on classic beam thresholding techniques that is up to an order of magnitude faster than the traditional method, at the same performance level. We also present a new thresholding technique, global thresholding, which,…

cmp-lg · Computer Science 2008-02-03 Joshua Goodman

This paper examines the stability of the quantum random walk search algorithm, when the walk coin is constructed by generalized Householder reflection and additional phase shift, against inaccuracies in the phases used to construct the…

Quantum Physics · Physics 2021-07-06 Hristo Tonchev , Petar Danev

For clinical studies with continuous outcomes, when the data are potentially skewed, researchers may choose to report the whole or part of the five-number summary (the sample median, the first and third quartiles, and the minimum and…

Methodology · Statistics 2023-05-09 Jiandong Shi , Dehui Luo , Xiang Wan , Yue Liu , Jiming Liu , Zhaoxiang Bian , Tiejun Tong

In this note, we provide with a simple example to show a defect in the definition of the geometric mixing scale, and then introduce an improved scale, called as the strong geometric mixing scale. The main theorem in this note is the…

Dynamical Systems · Mathematics 2022-10-21 Bohan Zhou

Users of music streaming, video streaming, news recommendation, and e-commerce services often engage with content in a sequential manner. Providing and evaluating good sequences of recommendations is therefore a central problem for these…

Machine Learning · Computer Science 2020-08-25 James McInerney , Brian Brost , Praveen Chandar , Rishabh Mehrotra , Ben Carterette

Methods for quantifying the similarity of datasets are relevant in applications where two or more datasets, or their underlying distributions, need to be compared, ranging from two- and k-sample testing to applications in machine learning…

Methodology · Statistics 2026-04-15 Marieke Stolte , Jörg Rahnenführer , Andrea Bommert

With the advent of 5G, mobile networks are becoming more dynamic and will therefore present a wider attack surface. To secure these new systems, we propose a multi-domain anomaly detection method that is distinguished by the study of…

Networking and Internet Architecture · Computer Science 2025-06-17 Thomas Hoger , Philippe Owezarski

This paper examines a way to simplify the circuit of quantum random walk search algorithm, when the traversing coin is constructed by both generalized Householder reflection and an additional phase multiplier. If an appropriate relation…

Quantum Physics · Physics 2022-04-28 Hristo Tonchev , Petar Danev

In this paper we use e-values in the context of multiple hypothesis testing assuming that the base tests produce independent, or sequential, e-values. Our simulation and empirical studies and theoretical considerations suggest that, under…

Methodology · Statistics 2024-08-14 Vladimir Vovk , Ruodu Wang

Model-free knockoffs is a recently proposed technique for identifying covariates that is likely to have an effect on a response variable. The method is an efficient method to control the false discovery rate in hypothesis tests for separate…

Methodology · Statistics 2019-03-29 Lars Holden , Kristoffer Hellton

Weak measurements can be seen as an attempt at answering the 'Which way?' question without destroying interference between the pathways involved. Unusual mean values obtained in such measurements represent the response of a quantum system…

Quantum Physics · Physics 2013-05-27 D. Sokolovski

While road obstacle detection techniques have become increasingly effective, they typically ignore the fact that, in practice, the apparent size of the obstacles decreases as their distance to the vehicle increases. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Krzysztof Lis , Sina Honari , Pascal Fua , Mathieu Salzmann

Scale-wise evaluation of object detectors is important for real-world applications. However, existing metrics are either coarse or not sufficiently reliable. In this paper, we propose novel scale-wise metrics that strike a balance between…

Computer Vision and Pattern Recognition · Computer Science 2023-07-24 Yosuke Shinya

Measuring distances in a multidimensional setting is a challenging problem, which appears in many fields of science and engineering. In this paper, to measure the distance between two multivariate distributions, we introduce a new measure…

Methodology · Statistics 2024-11-05 Gennaro Auricchio , Giovanni Brigati , Paolo Giudici , Giuseppe Toscani
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