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In this paper, we introduce Partial Information Decomposition of Features (PIDF), a new paradigm for simultaneous data interpretability and feature selection. Contrary to traditional methods that assign a single importance value, our…

Machine Learning · Computer Science 2025-11-17 Charles Westphal , Stephen Hailes , Mirco Musolesi

Fractional dissipation is a powerful tool to study non-local physical phenomena such as damping models. The design of geometric, in particular, variational integrators for the numerical simulation of such systems relies on a variational…

Numerical Analysis · Mathematics 2024-03-28 Khaled Hariz , Fernando Jiménez , Sina Ober-Blöbaum

Within the new concept of a local iterated function system (local IFS), we consider a class of attractors of such IFSs, namely those that are graphs of functions. These new functions are called local fractal functions and they extend and…

Functional Analysis · Mathematics 2014-08-28 Peter Massopust

Resampling by interpolation is the traditional method to process interferograms from non-uniformly sampled Fourier transform spectrometers. The non-uniform fast Fourier transform (NUFFT) is an alternative approach that has been mostly…

Instrumentation and Detectors · Physics 2024-12-10 Muqian Wen , John Houlihan

Interval valued bipolar fuzzy weighted neutrosophic set(IVBFWN-set) is a new generalization of fuzzy set, bipolar fuzzy set, neutrosophic set and bipolar neutrosophic set so that it can handle uncertain information more flexibly in the…

General Mathematics · Mathematics 2016-02-08 Irfan Deli , Yusuf Şubaş , Florentin Smaradache , Mumtaz Ali

We give a systematic account of iterated function systems (IFS) of weak contractions of different types (Browder, Rakotch, topological). We show that the existence of attractors and asymptotically stable invariant measures, and the validity…

Dynamical Systems · Mathematics 2020-04-24 Krzysztof Leśniak , Nina Snigireva , Filip Strobin

In this paper, we present a general framework to construct recurrent fractal interpolation surfaces (RFISs) on rectangular grids. Then we introduce bilinear RFISs, which are easy to be generated while there are no restrictions on…

Metric Geometry · Mathematics 2020-05-04 Zhen Liang , Huo-Jun Ruan

The fractional Fourier transform (FrFT), which is a generalization of the Fourier transform, has become the focus of many research papers in recent years because of its applications in electrical engineering and optics. In this paper, we…

Functional Analysis · Mathematics 2020-08-21 Owais Ahmad , Neyaz A. Sheikh , Firdous A. Shah

Accurate interpolation and approximation techniques for functions with discontinuities are key tools in many applications as, for instance, medical imaging. In this paper, we study an RBF type method for scattered data interpolation that…

Numerical Analysis · Mathematics 2019-03-08 Stefano De Marchi , Wolfgang Erb , Francesco Marchetti , Emma Perracchione , Milvia Rossini

Following the work of Louisa and Michael Barnsley on results in tops of iterated function systems, we extend their work to graph-directed iterated function systems by investigating the relationship between top addresses and shift spaces.…

Dynamical Systems · Mathematics 2024-02-05 Grover Lancaster-Cole , Georgiana Lyall , Thomas Malcolm , Qiyu Zhou

We introduce a fully convolutional fractional scaling component, FCFS. Fully convolutional networks can be applied to any size input and previously did not support non-integer scaling. Our architecture is simple with an efficient single…

Neural and Evolutionary Computing · Computer Science 2022-03-22 Michael Soloveitchik , Michael Werman

Vertical federated learning (VFL) allows an active party with labeled feature to leverage auxiliary features from the passive parties to improve model performance. Concerns about the private feature and label leakage in both the training…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-01 Hanlin Gu , Jiahuan Luo , Yan Kang , Lixin Fan , Qiang Yang

In this paper, we introduce fractal interpolation on complete semi-vector spaces. This approach is motivated by the requirements of preservation of positivity or monotonicity of functions for some models in approximation and interpolation…

Functional Analysis · Mathematics 2025-09-30 Peter R. Massopust

Our companion paper \cite{Stojnicnflgscompyx23} introduced a very powerful \emph{fully lifted} (fl) statistical interpolating/comparison mechanism for bilinearly indexed random processes. Here, we present a particular realization of such fl…

Probability · Mathematics 2023-12-01 Mihailo Stojnic

In these lecture notes we present connections between the theory of iterated function systems, in particular those attractors that are graphs of multivariate real-valued fractal functions, foldable figures and affine Weyl groups, and…

Functional Analysis · Mathematics 2013-09-03 Peter Massopust

We introduce an harmonic analysis for iterated function systems (IFS) (X, mu) which is based on a Markov process on certain paths. The probabilities are determined by a weight function W on X. From W we define a transition operator R_W…

Dynamical Systems · Mathematics 2015-06-26 Dorin Ervin Dutkay , Palle E. T. Jorgensen

Recent works have shown the ability of Implicit Neural Representations (INR) to carry meaningful representations of signal derivatives. In this work, we leverage this property to perform Video Frame Interpolation (VFI) by explicitly…

Computer Vision and Pattern Recognition · Computer Science 2022-06-23 Weihao Zhuang , Tristan Hascoet , Ryoichi Takashima , Tetsuya Takiguchi

Fractals are self-repeating patterns which have dimensions given by fractions rather than integers. While the dimension of a system unambiguously defines its properties, a fractional dimensional system can exhibit interesting properties.…

Materials Science · Physics 2019-11-20 Mohammed Ghadiyali , Sajeev Chacko

Video frame interpolation methodologies endeavor to create novel frames betwixt extant ones, with the intent of augmenting the video's frame frequency. However, current methods are prone to image blurring and spurious artifacts in…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Pengfei Han , Fuhua Zhang , Bin Zhao , Xuelong Li

Segmentation of anatomical shapes from medical images has taken an important role in the automation of clinical measurements. While typical deep-learning segmentation approaches are performed on discrete voxels, the underlying objects being…

Image and Video Processing · Electrical Eng. & Systems 2023-09-19 Nil Stolt-Ansó , Julian McGinnis , Jiazhen Pan , Kerstin Hammernik , Daniel Rueckert