1 citations · 1 across the 1 of their papers we have counts for
5 papers
Convergence rates of vector-valued local polynomial regression
Yariv Aizenbud, Barak Sober
Non-parametric estimation of functions as well as their derivatives by means of local-polynomial regression is a subject that was studied in the literature since the late 1970's. G…
Non-Parametric Estimation of Manifolds from Noisy Data
Yariv Aizenbud, Barak Sober
A common observation in data-driven applications is that high dimensional data has a low intrinsic dimension, at least locally. In this work, we consider the problem of estimating…
Approximating the Span of Principal Components via Iterative Least-Squares
Yariv Aizenbud, Barak Sober
In the course of the last century, Principal Component Analysis (PCA) have become one of the pillars of modern scientific methods. Although PCA is normally addressed as a statistic…
Rank-one Multi-Reference Factor Analysis
Yariv Aizenbud, Boris Landa, Yoel Shkolnisky
In recent years, there is a growing need for processing methods aimed at extracting useful information from large datasets. In many cases the challenge is to discover a low-dimensi…
Similarity Search Over Graphs Using Localized Spectral Analysis
Yariv Aizenbud, Amir Averbuch, Gil Shabat +1
This paper provides a new similarity detection algorithm. Given an input set of multi-dimensional data points, where each data point is assumed to be multi-dimensional, and an addi…