52 citations · 84 across the 6 of their papers we have counts for
6 papers
Field Formulation of Parzen Data Analysis
D. Horn
The Parzen window density is a well-known technique, associating Gaussian kernels with data points. It is a very useful tool in data exploration, with particular importance for clu…
Analyzing Big Data with Dynamic Quantum Clustering
M. Weinstein, F. Meirer, A. Hume +6
How does one search for a needle in a multi-dimensional haystack without knowing what a needle is and without knowing if there is one in the haystack? This kind of problem requires…
Dynamic quantum clustering: a method for visual exploration of structures in data
Marvin Weinstein, David Horn
A given set of data-points in some feature space may be associated with a Schrodinger equation whose potential is determined by the data. This is known to lead to good clustering s…
Using a neural network approach for muon reconstruction and triggering
E. Etzion, H. Abramowicz, Y. Benhammou +3
The extremely high rate of events that will be produced in the future Large Hadron Collider requires the triggering mechanism to take precise decisions in a few nano-seconds. We pr…
Quantum Clustering
David Horn, Assaf Gottlieb
We propose a novel clustering method that is based on physical intuition derived from quantum mechanics. Starting with given data points, we construct a scale-space probability fun…
An Orientation Selective Neural Network and its Application to Cosmic Muon Identification
Halina Abramowicz, David Horn, Ury Naftaly +1
We propose a novel method for identification of a linear pattern of pixels on a two-dimensional grid. Following principles employed by the visual cortex, we employ orientation sele…