Results 51 to 60 of about 981 (109)
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
, 2019 Deep metric learning has been widely applied in many computer vision tasks, and recently, it is more attractive in \emph{zero-shot image retrieval and clustering}(ZSRC) where a good embedding is requested such that the unseen classes can be distinguished
Chen, Binghui, Deng, Weihong
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Conditional Aalen–Johansen estimation
Scandinavian Journal of Statistics, Volume 52, Issue 2, Page 873-902, June 2025.Abstract The conditional Aalen–Johansen estimator, a general‐purpose nonparametric estimator of conditional state occupation probabilities, is introduced. The estimator is applicable for any finite‐state jump process and supports conditioning on external as well as internal covariate information.
Martin Bladt, Christian Furrer
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A regular Lindelöf semimetric space which has no countable network [PDF]
Proceedings of the American Mathematical Society, 1970 A completely regular semimetric space M M is constructed which has no σ \sigma -discrete network. The space M M constructed has the property that every subset of M M of cardinality 2 ℵ 0
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, 2009 This paper generalizes a part of the theory of $Z$-estimation which has been developed mainly in the context of modern empirical processes to the case of stochastic processes, typically, semimartingales.
Nishiyama, Yoichi
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Conditional Density Kernel Estimation Under Random Censorship for Functional Weak Dependence Data
Journal of Mathematics, Volume 2025, Issue 1, 2025.The primary objective of this research is to investigate the asymptotic properties of the conditional density nonparametric estimator. The main areas of focus are the estimator’s consistency (with rates), including those involving censored data and quasi‐associated dependent variables, as well as its performance when the covariate is functional in ...
Hamza Daoudi +4 more
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Convergence in probabilistic semimetric spaces
Rocky Mountain Journal of Mathematics, 1988 A probabilistic semimetric space (S,F) is a set S together with a function F defined on \(S\times S\) with values in the space \(\Delta^+\), which is a space of real-valued functions, satisfying some weak assumptions resembling those for a metric except for the triangular inequality.
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, 2010 A holonomic space $(V,H,L)$ is a normed vector space, $V$, a subgroup, $H$, of $Aut(V, \|\cdot\|)$ and a group-norm, $L$, with a convexity property. We prove that with the metric $d_L(u,v)=\inf_{a\in H}\{\sqrt{L^2(a)+\|u-av\|^2}\}$, $V$ is a metric space
Solórzano, Pedro
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Journal of Mathematics, Volume 2025, Issue 1, 2025.This paper explores the nonparametric estimation of the volatility component in a heteroscedastic scalar‐on‐function regression model, where the underlying discrete‐time process is ergodic and subject to a missing‐at‐random mechanism. We first propose a simplified estimator for the regression and volatility operators, constructed solely from the ...
Abdelbasset Djeniah +3 more
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Journal of Mathematics, Volume 2024, Issue 1, 2024.The objective of the paper is to present some fixed point results verifying a relational contraction utilizing certain shifting distance functions and via a generalized class of transitive relations. Our outcomes sharpen, extend, modify, and enrich many well‐known results. To demonstrate the utility of our results, several examples are provided.
Faizan Ahmad Khan +5 more
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A contraction principle in semimetric spaces
, 2014 A branch of generalizations of the Banach Fixed Point Theorem replaces contractivity by a weaker but still effective property. The aim of the present note is to extend the contraction principle in this spirit for such complete semimetric spaces that fulfill an extra regularity property. The stability of fixed points is also investigated in this setting.
Bessenyei, Mihály, Páles, Zsolt
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