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The exposure sequence is being actively studied for user interest modeling in Click-Through Rate (CTR) prediction. However, the existing methods for exposure sequence modeling bring extensive computational burden and neglect noise problems, resulting in ...

Pansharpening fuses the spatial features of a high-resolution panchromatic (PAN) image with the spectral features of a lower-resolution multispectral (MS) image to generate a spatially enriched MS image. Numerous pansharpening ...

Graph representation learning has many real-world applications, from self-driving LiDAR, 3D computer vision to drug repurposing, protein classification, social networks analysis. An adequate representation of graph data is vital to the learning ...

This paper presents the method which we submitted to the competition of Historical Map Segmentation, in ICDAR’21. The goal is to segment document images of Paris maps from the beginning of the 20th century: delineate the content of the map and locate ...

Signal denoising is one of the most important areas in signal processing. In the present paper, we have denoised a 1D piecewise constant (PWC) signal corrupted by additive white Gaussian noise (AWGN) using the thresholded Haar wavelet denoising method. ...

In this paper, we develop an adaptive multiresolution discontinuous Galerkin (DG) scheme for scalar hyperbolic conservation laws in multidimensions. Compared with previous work for linear hyperbolic equations [W. Guo and Y. Cheng, SIAM J. Sci. Comput., ...

Multiresolution mode decomposition (MMD) is an adaptive tool to analyze a time series $f(t)=\sum_{k=1}^K f_k(t)$, where $f_k(t)$ is a multiresolution intrinsic mode function (MIMF) of the form $ f_k(t)=\sum\nolimits_{n=-N/2}^{N/2-1} a_{n,k}\cos(2\pi n\phi_k(...

We present an original adaptive scheme using a dynamically refined grid for the simulation of the six-dimensional Vlasov--Poisson equations. The distribution function is represented in a hierarchical basis that retains only the most significant ...

MADNESS (multiresolution adaptive numerical environment for scientific simulation) is a high-level software environment for solving integral and differential equations in many dimensions that uses adaptive and fast harmonic analysis methods with ...

We propose a novel algorithm to solve a general class of linear ill-posed inverse problems. For our numerical tests, we consider ill-posed problems on the sphere as they appear in the geosciences. Based on an iterative greedy algorithm, called the ...

We show that the fractional Hilbert transform preserves the biorthogonal wavelet property. For a naturally generated biorthogonal wavelet pair constructed from a given biorthogonal scaling pair, we propose a design to construct a better biorthogonal ...

In this paper we analyze two-dimensional wavelet reconstructions from Fourier samples within the framework of generalized sampling. For this, we consider both separable compactly supported wavelets and boundary wavelets. We prove that the number of samples ...

In this work, the application of Daubechies' scaling functions DSFs in computational engineering, particulary radial point interpolation meshless method RPIM in electromagnetic engineering, is studied. This analysis indicates some shortcomings of DSFs ...

With the ongoing development of rendering technology, computer graphics CG are sometimes so photorealistic that to distinguish them from photographic PG images by human eyes has become difficult. To this end, many methods have been developed for ...

Intrinsic image decomposition is an important problem that targets the recovery of shading and reflectance components from a single image. While this is an ill-posed problem on its own, we propose a novel approach for intrinsic image decomposition using ...

Comparison of image processing techniques is critically important in deciding which algorithm, method, or metric to use for enhanced image assessment. Image fusion is a popular choice for various image enhancement applications such as overlay of two ...

In this paper, the notion of biorthogonal non-separable quarternary wavelet packs, which is the gene-ralization of biorthogonal univariate wavelet packs, is introduced. A new procedure for constructing them is provided. Their biorthogonality property is ...

We discuss human body motion denoising with use of the transform based on second generation wavelet. To build such a transform, we use the quaternion lifting scheme. The main focus is placed on representing body parts orientation changes over time with ...

We first introduce in this paper a new wavelet based segmentation algorithm for three-dimensional (3-D) Semi-Regular (SR) meshes. This method is then considered as a pre-processing step in a view-dependent progressive coding of 3-D meshes. Our ...

In this paper, we seek to determine the adequate number of samples for an analog filter function f(t). The proposed approaches provide discrete filters that can be used for multiresolution analysis. We introduce two methods that provide sampling results ...