Research Statement: Casey Donoven The Cantor space is the set of all infinite sequences over a finite alaphabet X, which is a both a topological and metric space. My research to date has focused on studying structures re

Source URL: www-groups.mcs.st-and.ac.uk

• Fractals
• Dimension theory
• Georg Cantor
• Mathematical structures
• Topological spaces
• Cantor space
• Self-similarity
• Topology
• Hausdorff dimension
• Space
• Homeomorphism
• Invariant

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar

Source URL: www.behavecol.es

• Fractals
• Dimension theory
• Chaos theory
• Dynamical systems
• Fractal analysis
• Fractal dimension
• Fractal
• Biometrics
• Multifractal system
• Pattern
• Self-similarity
• Geometry

Unsupervised Metric Learning by Self-Smoothing Operator Jiayan Jiang UCLA Bo Wang University of Toronto

Source URL: pages.ucsd.edu

• Multivariate statistics
• Geostatistics
• Dimension reduction
• Machine learning
• Dimension
• Nonlinear dimensionality reduction
• Diffusion
• Similarity measure
• Image segmentation
• Dimensionality reduction
• Kernel method
• K-means clustering

Bulletinofthe SeismologicalSocietyofAmerica,Vol.78, No. 2, pp,April1988 FAILURE OF SELF-SIMILARITY FOR LARGE (Mw > 8¼) EARTHQUAKES BY STEPHEN H. HARTZELLAND THOMAS H. HEATON ABSTRACT

Source URL: www.ecf.caltech.edu

• Seismology
• Signal processing
• Fourier analysis
• Plate tectonics
• Frequency domain analysis
• Earthquake
• Thomas H. Heaton
• Richter magnitude scale
• Cascadia subduction zone
• Spectral density
• Subduction
• Seismic scale

Exponential relaxation to self-similarity for the superquadratic fragmentation equation P. Gabriel∗ F. Salvarani

Source URL: pgabriel.perso.math.cnrs.fr

• Fourier analysis
• Differential equations
• Ordinary differential equations
• Partial differential equations
• Operator theory
• Integration by parts
• Bessel function

ANALYZING SONG STRUCTURE WITH SPECTRAL CLUSTERING Brian McFee Center for Jazz Studies Columbia University

Source URL: bmcfee.github.io

• Matrix theory
• Algebraic graph theory
• Spectral clustering
• Graph partition
• Spectral graph theory
• Eigenvalues and eigenvectors
• Image segmentation
• Matrix
• Self-similarity matrix
• Graph theory
• Eigendecomposition of a matrix

LEARNING TO SEGMENT SONGS WITH ORDINAL LINEAR DISCRIMINANT ANALYSIS Brian McFee Daniel P.W. Ellis Center for Jazz Studies

Source URL: bmcfee.github.io

• Statistics
• Multivariate statistics
• Data analysis
• Mathematics
• Image segmentation
• Cluster analysis
• Hierarchical clustering
• Non-negative matrix factorization
• Self-similarity matrix
• Market segmentation
• Principal component analysis
• Pattern recognition

THE YALE JOURNAL OF BIOLOGY AND MEDICINE), Fractals in Physiology and Medicine ARY L. GOLDBERGER, M.D.,a AND BRUCE J. WEST, Ph.D.b aCardiovascular Division, Beth Israel Hospital, Harvard Medical School

Source URL: www.ncbi.nlm.nih.gov

• Fractals
• Mathematics
• Mathematical analysis
• Structure
• Fractal dimension
• Fractal
• Self-similarity
• Pink noise
• Order
• Fractal antenna
• Scale relativity

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising Jun Xu1 , Lei Zhang1,∗ , Wangmeng Zuo2 , David Zhang1 , and Xiangchu Feng3 1 2

Source URL: www.cv-foundation.org

Origins of self-similarity in the growth of complex networks Hernan ´ A. Makse Chaoming Song

Source URL: vw.indiana.edu