201 citations · 244 across the 6 of their papers we have counts for
8 papers
A Geometrical Approach to Constructing Neural Networks for Perfect Training-set Classification
Akos Hajnal
This paper proposes a method for constructing a neural network that achieves perfect classification of all samples in a given training set, without taking regularization into accou…
An Iterative Geometric Approach to Optimizing Separating Hyperplanes
Akos Hajnal
Given a binary-labeled linearly separable dataset, and the objective is to compute the maximum-margin separating hyperplane, also known as the hard-margin Support Vector Machine (S…
On Linear Separability of the MNIST Handwritten Digits Dataset
Ákos Hajnal
The MNIST dataset containing thousands of handwritten digit images is still a fundamental benchmark for evaluating various pattern-recognition and image-classification models. Line…
A Perceptron-based Fine Approximation Technique for Linear Separation
Ákos Hajnal
This paper presents a novel online learning method that aims at finding a separator hyperplane between data points labelled as either positive or negative. Since weights and biases…
Properties of Hi-GAL clumps in the inner Galaxy]{The Hi-GAL compact source catalogue. I. The physical properties of the clumps in the inner Galaxy ()
D. Elia, S. Molinari, E. Schisano +83
Hi-GAL is a large-scale survey of the Galactic plane, performed with Herschel in five infrared continuum bands between 70 and 500 m. We present a band-merged catalogue of spatia…
Spatial distribution of star formation related to ionized regions throughout the inner Galactic plane
P. Palmeirim, A. Zavagno, D. Elia +35
We present a comprehensive statistical analysis of star-forming objects located in the vicinities of 1 360 bubble structures throughout the Galactic Plane and their local environme…
VIALACTEA knowledge base homogenizing access to Milky Way data
Marco Molinaro, Robert Butora, Marilena Bandieramonte +16
The VIALACTEA project has a work package dedicated to Tools and Infrastructure and, inside it, a task for the Database and Virtual Observatory Infrastructure. This task aims at pro…
Advanced Environment for Knowledge Discovery in the VIALACTEA Project
Ugo Becciani, Marilena Bandieramonte, Massimo Brescia +16
The VIALACTEA project aims at building a predictive model of star formation in our galaxy. We present the innovative integrated framework and the main technologies and methodologie…