Results 21 to 30 of about 1,903,872 (261)
DECOMPOSING IMAGES INTO TRIANGLES BY DELAUNAY POINT PROCESSES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 We propose a method for decomposing images into triangles. Contrary to superpixel methods, our output representation both preserves the geometric information disseminated in input images, and has an attractive storage capacity.
D. Chai
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Rank-Based Mixture Models for Temporal Point Processes
Frontiers in Applied Mathematics and Statistics, 2022 Temporal point process, an important area in stochastic process, has been extensively studied in both theory and applications. The classical theory on point process focuses on time-based framework, where a conditional intensity function at each given ...
Yang Chen, Yijia Ma, Wei Wu
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CoRR, 2019 Event sequences can be modeled by temporal point processes (TPPs) to capture their asynchronous and probabilistic nature. We propose an intensity-free framework that directly models the point process distribution by utilizing normalizing flows. This approach is capable of capturing highly complex temporal distributions and does not rely on restrictive ...
Nazanin Mehrasa +7 more
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Extremes for Solutions to Stochastic Difference Equations with Regularly Varying Tails
Revstat Statistical Journal, 2007 The main purpose of this paper is to look at the extremal properties of Xk = X∞ j=1 j Y−1 s=1 Ak−s ! Bk−j , k ∈ Z , where (Ak, Bk)k∈Z is a periodic sequence of independent R 2 +-valued random pairs.
Manuel G. Scotto
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Axioms, 2020 A plethora of applications from mathematical programming, such as minimax, and mathematical programming, penalization, fixed point to mention a few can be framed as equilibrium problems.
Nopparat Wairojjana +3 more
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Stream-Processing Points [PDF]
IEEE Visualization 2005 - (VIS'05), 2006 With the growing size of captured 3D models it has become increasingly important to provide basic efficient processing methods for large unorganized raw surface-sample point data sets. In this paper we introduce a novel stream-based (and out-of-core) point processing framework.
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DETECTING LINEAR FEATURES BY SPATIAL POINT PROCESSES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper proposes a novel approach for linear feature detection. The contribution is twofold: a novel model for spatial point processes and a new method for linear feature detection.
D. Chai, A. Schmidt, C. Heipke
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CAPACITY DISTRIBUTIONS IN SPATIAL STOCHASTIC MODELS FOR TELECOMMUNICATION NETWORKS
Image Analysis and Stereology, 2011 We consider the stochastic subscriber line model as a spatial stochastic model for telecommunication networks and we are interested in the evaluation of the required capacities at different locations of the network in order to provide, in fine, an ...
Florian Voss +2 more
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Procesos puntuales, densidades producto y biología celular
Revista Colombiana de Estadística, 2005 En este artículo se explica cómo los procesos puntuales han sido usados con éxito para modelar problemas de poblaciones celulares. En particular, se muestra la utilidad de la técnica de densidades producto para tratar un problema de células sujetas a ...
VISWANATHAN ARUNACHALAM
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On De la Peña Type Inequalities for Point Processes
Mathematics, 2022 There has been a renewed interest in exponential concentration inequalities for stochastic processes in probability and statistics over the last three decades.
Naiqi Liu +2 more
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