41 citations · 153 across the 13 of their papers we have counts for
6 papers · 1 filter
DeepEthnic: Multi-Label Ethnic Classification from Face Images
Katia Huri, Eli David, Nathan S. Netanyahu
Ethnic group classification is a well-researched problem, which has been pursued mainly during the past two decades via traditional approaches of image processing and machine learn…
A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels
Daniel Rika, Dror Sholomon, Eli David +1
This paper presents a novel scheme, based on a unique combination of genetic algorithms (GAs) and deep learning (DL), for the automatic reconstruction of Portuguese tile panels, a…
Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks
Evyatar Illouz, Eli David, Nathan S. Netanyahu
Handwriting-based gender classification is a well-researched problem that has been approached mainly by traditional machine learning techniques. In this paper, we propose a novel d…
Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images
Ido Cohen, Eli David, Nathan S. Netanyahu
In recent years, large datasets of high-resolution mammalian neural images have become available, which has prompted active research on the analysis of gene expression data. Tradit…
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders
Ido Cohen, Eli David, Nathan S. Netanyahu +2
This paper presents a novel deep learning-based method for learning a functional representation of mammalian neural images. The method uses a deep convolutional denoising autoencod…
A Two-Phase Genetic Algorithm for Image Registration
Sarit Chicotay, Eli David, Nathan S. Netanyahu
Image Registration (IR) is the process of aligning two (or more) images of the same scene taken at different times, different viewpoints and/or by different sensors. It is an impor…