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It is shown how the dimension of any arbitrary over-determined system of differential equations can be reduced, which makes the system suitable for numerical solution modeling. Specifically, over-determined equations of hydrodynamics are…

Mathematical Physics · Physics 2013-02-26 Maxim Zaytsev , Vyacheslav Akkerman

We present a method for inferring dense depth maps from images and sparse depth measurements by leveraging synthetic data to learn the association of sparse point clouds with dense natural shapes, and using the image as evidence to validate…

Computer Vision and Pattern Recognition · Computer Science 2021-08-25 Alex Wong , Safa Cicek , Stefano Soatto

The goal of our work is to complete the depth channel of an RGB-D image. Commodity-grade depth cameras often fail to sense depth for shiny, bright, transparent, and distant surfaces. To address this problem, we train a deep network that…

Computer Vision and Pattern Recognition · Computer Science 2018-05-03 Yinda Zhang , Thomas Funkhouser

We present a new method for 3D shape reconstruction from a single image, in which a deep neural network directly maps an image to a vector of network weights. The network \textcolor{black}{parametrized by} these weights represents a 3D…

Computer Vision and Pattern Recognition · Computer Science 2019-08-20 Gidi Littwin , Lior Wolf

We survey some aspects of the perfect matching problem in hypergraphs, with particular emphasis on structural characterisation of the existence problem in dense hypergraphs and the existence of designs.

Combinatorics · Mathematics 2018-07-17 Peter Keevash

Depth image super-resolution is an extremely challenging task due to the information loss in sub-sampling. Deep convolutional neural network have been widely applied to color image super-resolution. Quite surprisingly, this success has not…

Computer Vision and Pattern Recognition · Computer Science 2016-07-08 Xibin Song , Yuchao Dai , Xueying Qin

This paper will be replaced later by a revised version.

Classical Analysis and ODEs · Mathematics 2007-05-23 Y. Gaspar

We consider the characteristic problem for the ultrahyperbolic equation in the Euclidean space. The value of a solution is prescribed on the characteristic hyperplane. A well-posed set-up of the problem is discussed. We obtain a certain…

Analysis of PDEs · Mathematics 2026-04-27 Maxim N. Demchenko

We survey recent studies and results on the following problem: which numerical functions can be the depth function of powers and symbolic powers of homogeneous ideals.

Commutative Algebra · Mathematics 2021-06-16 Huy Tai Ha , Ngo Viet Trung

We extend the definition of algebraic entropy to semi-discrete (difference-differential) equations. Calculating the entropy for a number of integrable and non integrable systems, we show that its vanishing is a characteristic feature of…

Exactly Solvable and Integrable Systems · Physics 2015-06-05 D. K. Demskoi , C-M. Viallet

Depth in the real world is rarely singular. Transmissive materials create layered ambiguities that confound conventional perception systems. Existing models remain passive; conventional approaches typically estimate static depth maps…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Junhong Min , Jimin Kim , Minwook Kim , Cheol-Hui Min , Youngpil Jeon , Minyong Choi

Integral transformations are used to estimate high order derivatives of various special functions. Applications are given to numerical integration, where estimates of high order derivatives of the integrand are needed to achieve bounds on…

Numerical Analysis · Mathematics 2007-06-21 David M. Bradley

We present a novel approach designed to address the complexities posed by challenging, out-of-distribution data in the single-image depth estimation task. Starting with images that facilitate depth prediction due to the absence of…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Fabio Tosi , Pierluigi Zama Ramirez , Matteo Poggi

In this article, we define the notion of a filtration and then give the basic theorems on initial and progressive enlargements of filtrations.

Probability · Mathematics 2007-12-06 Delia Coculescu , Ashkan Nikeghbali

Two approximations of the integral of a class of sinusoidal composite functions, for which an explicit form does not exist, are derived. Numerical experiments show that the proposed approximations yield an error that does not depend on the…

Numerical Analysis · Mathematics 2024-01-17 Alberto Costa

We consider shift spaces in which elements of the alphabet may overlap nontransitively. We define a notion of entropy for such spaces, give several techniques for computing lower bounds for it, and show that it is equal to a limit of…

Dynamical Systems · Mathematics 2010-11-16 Fabio Drucker , David Richeson , Jim Wiseman

A method for computing the multigraded Hilbert depth of a module was presented in [16]. In this paper we improve the method and we introduce an effective algorithm for performing the computations. In a particular case, the algorithm may…

Commutative Algebra · Mathematics 2014-07-25 Bogdan Ichim , Andrei Zarojanu

The Whittaker function and its diverse extensions have been actively investigated. Here we introduce an extension of the Whittaker function by using the known extended confluent hypergeometric function $\Phi_{p,v}$ and investigate some of…

Classical Analysis and ODEs · Mathematics 2018-01-25 Gauhar Rahman , Kottakkaran Sooppy Nisar , Junesang Choi

Hilbert algebras are the implicative subreducts of Heyting algebras. It is shown that having depth at most n is an equational condition in Hilbert algebras. This generalizes an analogous well-known result in the setting of Heyting algebras.

Logic · Mathematics 2026-05-11 Luca Carai , Miriam Kurtzhals , Tommaso Moraschini

We derive continuity equation and exact expression for flow probability density in a space with arbitrary deformed algebra leading to minimal length. In coordinate representation the flow probability density is presented as infinite series…

Quantum Physics · Physics 2021-02-24 H. P. Laba , V. M. Tkachuk
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