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We state a new generic absoluteness principle, and use Shelah's memory iteration technique to show that it is consistent with the large continuum.

Logic · Mathematics 2023-10-10 Mohammad Golshani

When considering perceptions, the observation scale and resolution are closely related properties. There is consensus in considering resolution as the density of elementary pieces of information in a specified information space.…

Information Theory · Computer Science 2019-02-27 Gerardo Febres

Over the past two decades, Yuri Gurevich and his colleagues have formulated axiomatic foundations for the notion of algorithm, be it classical, interactive, or parallel, and formalized them in the new generic framework of abstract state…

Logic in Computer Science · Computer Science 2012-08-14 Nachum Dershowitz

The generalized word length pattern of an orthogonal array allows a ranking of orthogonal arrays in terms of the generalized minimum aberration criterion (Xu and Wu [Ann. Statist. 29 (2001) 1066-1077]). We provide a statistical…

Statistics Theory · Mathematics 2014-05-29 Ulrike Grömping , Hongquan Xu

The concept of wavefunction reduction should be introduced to standard quantum mechanics in any physical processes where effective reduction of wavefunction occurs, as well as in the measurement processes. When the overlap is negligible,…

Quantum Physics · Physics 2007-05-23 WonYoung Hwang , Jeong-Young Ji , Jongbae Hong

We present a procedure for averaging one-parameter random unitary groups and random self-adjoint groups. Central to this is a generalization of the notion of weak convergence of a sequence of measures and the corresponding generalization of…

Mathematical Physics · Physics 2021-07-13 John E. Gough , Yurii N. Orlov , Vsevolod Zh. Sakbaev , Oleg G. Smolyanov

We propose some axioms for hierarchical clustering of probability measures and investigate their ramifications. The basic idea is to let the user stipulate the clusters for some elementary measures. This is done without the need of any…

Machine Learning · Statistics 2016-05-24 Philipp Thomann , Ingo Steinwart , Nico Schmid

We investigate the most general phase space of configurations, consisting of all possible ways of assigning elementary attributes, ``energies'', to elementary positions, ``cells''. We discuss how this space possesses structures that can be…

General Physics · Physics 2011-03-22 Andrea Gregori

We present a scalable approach for Detecting Objects by transferring Common-sense Knowledge (DOCK) from source to target categories. In our setting, the training data for the source categories have bounding box annotations, while those for…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Krishna Kumar Singh , Santosh Divvala , Ali Farhadi , Yong Jae Lee

Categorization axioms have been proposed to axiomatizing clustering results, which offers a hint of bridging the difference between human recognition system and machine learning through an intuitive observation: an object should be assigned…

Machine Learning · Computer Science 2016-01-18 Jian Yu

The K-matrix, also known as the "Wigner reaction matrix" in nuclear scattering or "impedance matrix" in the electromagnetic wave scattering, is given essentially by an M x M diagonal block of the resolvent (E-H)^{-1} of a Hamiltonian H. For…

Mathematical Physics · Physics 2013-07-22 Yan V Fyodorov , Boris A Khoruzhenko , André Nock

We prove a model-theoretic representation theorem for the distribution of an ergodic exchangeable $k$-uniform hypergraph: every such measure arises as the pushforward of the countably-iterated Morley product of a global Borel-definable…

Combinatorics · Mathematics 2025-10-21 Nathanael Ackerman , Cameron Freer , Kyle Gannon , James E. Hanson , Rehana Patel

This paper presents a general one-shot object localization algorithm called OneLoc. Current one-shot object localization or detection methods either rely on a slow exhaustive feature matching process or lack the ability to generalize to…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Yang You , Zhuochen Miao , Kai Xiong , Weiming Wang , Cewu Lu

We introduce an algorithm that, given n objects, learns a similarity matrix over all n^2 pairs, from crowdsourced data alone. The algorithm samples responses to adaptively chosen triplet-based relative-similarity queries. Each query has the…

Machine Learning · Computer Science 2013-07-19 Omer Tamuz , Ce Liu , Serge Belongie , Ohad Shamir , Adam Tauman Kalai

A generalisation of Scott's information systems \cite{sco82} is presented that captures exactly all L-domains. The global consistency predicate in Scott's definition is relativised in such a way that there is a consistency predicate for…

Logic in Computer Science · Computer Science 2021-03-26 Dieter Spreen

In approval voting, individuals vote for all platforms that they find acceptable. In this situation it is natural to ask: When is agreement possible? What conditions guarantee that some fraction of the voters agree on even a single…

Combinatorics · Mathematics 2021-08-30 Kristen Mazur , Mutiara Sondjaja , Matthew Wright , Carolyn Yarnall

In aperiodic order, non-periodic but "ordered" objects such as tilings, Delone sets, functions and measures are investigated. In this article we depict the common structure of these objects by using the general framework of abstract pattern…

Metric Geometry · Mathematics 2018-11-13 Yasushi Nagai

The notion of a coherent space is a nonlinear version of the notion of a complex Euclidean space: The vector space axioms are dropped while the notion of inner product is kept. Coherent spaces provide a setting for the study of geometry in…

Mathematical Physics · Physics 2018-10-01 Arnold Neumaier

This paper is a companion article to our previous paper (J. Stat. Phys. 119, 1283 (2005), cond-mat/0408681), which introduced a generalized canonical ensemble obtained by multiplying the usual Boltzmann weight factor $e^{-\beta H}$ of the…

Statistical Mechanics · Physics 2007-05-23 M. Costeniuc , R. S. Ellis , H. Touchette , B. Turkington

The ordinary Structure Identity Principle states that any property of set-level structures (e.g., posets, groups, rings, fields) definable in Univalent Foundations is invariant under isomorphism: more specifically, identifications of…

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