Interpolatory product quadratures for Cauchy principal value integrals with Freud weights. - Steven B. Damelin; Kai Diethelm (Numerische Mathematik, 1999)

Convergence of Hermite and Hermite-Fejér Interpolation of Higher Order for Freud Weights. - Steven B. Damelin; H. S. Jung; Kil H. Kwon (J. Approx. Theory, 2001)

A Constructive Finite Field Method for Scattering Points on the Surface of d-Dimensional Spheres. - Béla Bajnok; Steven B. Damelin; Jenny X. Li; Gary L. Mullen (Computing, 2002)

Marcinkiewicz-Zygmund inequalities and the numerical approximation of singular integrals for exponential weights: methods, results and open problems, some new, some old. - Steven B. Damelin (J. Complex., 2003)

Energy functionals, numerical integration and asymptotic equidistribution on the sphere. - Steven B. Damelin; Peter J. Grabner (J. Complex., 2003)

Asymptotics of recurrence coefficients for orthonormal polynomials on the line - Magnus's method revisited. - Steven B. Damelin (Math. Comput., 2004)

On point energies, separation radius and mesh norm for s-extremal configurations on compact sets in Rn. - Steven B. Damelin; V. Maymeskul (J. Complex., 2005)

Activity Recognition Via Classification Constrained Diffusion Maps. - Yunqian Ma; Steven B. Damelin; Osama Masoud; Nikolaos Papanikolopoulos (ISVC (1), 2006)

Pointwise bounds of orthogonal expansions on the real line via weighted Hilbert transforms. - Steven B. Damelin (Adv. Comput. Math., 2007)

Clustering of cancer tissues using diffusion maps and fuzzy ART with gene expression data. - Rui Xu 001; Steven B. Damelin; Donald C. Wunsch (IJCNN, 2008)

A walk through energy, discrepancy, numerical integration and group invariant measures on measurable subsets of euclidean space. - Steven B. Damelin (Numer. Algorithms, 2008)

Target Detection in Hyperspectral Mineral Data using Wavelet Analysis. - Michael Mitchley; Michael Sears; Steven B. Damelin (IGARSS (4), 2009)

Reducing the Dimensionality of Hyperspectral Data using Diffusion Maps. - Louis du Plessis; Steven B. Damelin; Michael Sears (IGARSS (4), 2009)

Analysis of hyperspectral data with diffusion maps and Fuzzy ART. - Rui Xu 001; Louis du Plessis; Steven B. Damelin; Michael Sears; Donald C. Wunsch (IJCNN, 2009)

Energies, group-invariant kernels and numerical integration on compact manifolds. - Steven B. Damelin; Jeremy Levesley; David L. Ragozin; X. Sun (J. Complex., 2009)

Using Random Matrix Theory to determine the number of endmembers in a hyperspectral image. - Kerry Cawse-Nicholson; Michael Sears; Amandine Robin; Steven B. Damelin; Konrad J. Wessels; Frans van den Bergh; Renaud Mathieu (WHISPERS, 2010)

Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps. - Rui Xu 001; Steven B. Damelin; Boaz Nadler; Donald C. Wunsch II (Artif. Intell. Medicine, 2010)

Determining the Intrinsic Dimension of a Hyperspectral Image Using Random Matrix Theory. - Kerry Cawse-Nicholson; Steven B. Damelin; Amandine Robin; Michael Sears (IEEE Trans. Image Process., 2013)

Fuzzy Adaptive Resonance Theory, Diffusion Maps and their applications to Clustering and Biclustering. - Steven B. Damelin; Y. Gu; Donald C. Wunsch II; Rui Xu 001 (CoRR, 2014)

The Truncated, Upper-Triangle Pascal Matrix, Linear Independence and Results in Matroid Theory. - Michael Hua; Daniel Capodilupo; Steven Benjamin Damelin; Samuel Freedman; Jeffrey Sun; Mingchao Fisher Yu (CoRR, 2015)

On Min-Max affine approximants of convex or concave real valued functions from $ mathbb R^k$, Chebyshev equioscillation and graphics. - Steven B. Damelin; David L. Ragozin; Michael Werman (CoRR, 2018)

On Surface Completion and Image Inpainting by Biharmonic Functions: Numerical Aspects. - Steven B. Damelin; N. S. Hoang (Int. J. Math. Math. Sci., 2018)

On the Whitney extension problem for near isometries and beyond. - Steven B. Damelin (CoRR, 2021)

Well Separated Pair Decomposition and power weighted shortest path metric algorithm fusion. - Gurpreet S. Kalsi; Steven B. Damelin (CoRR, 2021)

On a realization of motion and similarity group equivalence classes of labeled points in $ mathbb R^k$ with applications to computer vision. - Steven B. Damelin; David L. Ragozin; Michael Werman (CoRR, 2021)

A Multiple Parameter Linear Scale-Space for one dimensional Signal Classification. - Leon A. Luxemburg; Steven B. Damelin (CoRR, 2023)

Partial Transport for Point-Cloud Registration. - Yikun Bai; Huy Tran; Steven B. Damelin; Soheil Kolouri (CoRR, 2023)

On Uniform Weighted Deep Polynomial approximation. - Kingsley Yeon; Steven B. Damelin (CoRR, 2025)