224 citations · 614 across the 33 of their papers we have counts for
9 papers · 2 filters
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…
DeepPainter: Painter Classification Using Deep Convolutional Autoencoders
Eli David, Nathan S. Netanyahu
In this paper we describe the problem of painter classification, and propose a novel approach based on deep convolutional autoencoder neural networks. While previous approaches rel…
DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem
Dror Sholomon, Eli David, Nathan S. Netanyahu
This paper introduces the first deep neural network-based estimation metric for the jigsaw puzzle problem. Given two puzzle piece edges, the neural network predicts whether or not…
Image Registration of Very Large Images via Genetic Programming
Sarit Chicotay, Eli David, Nathan S. Netanyahu
Image registration (IR) is a fundamental task in image processing for matching two or more images of the same scene taken at different times, from different viewpoints and/or by di…
A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles
Dror Sholomon, Eli David, Nathan S. Netanyahu
In this paper we propose the first effective automated, genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel procedure of merging two "parent" solutions to an im…
A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types
Dror Sholomon, Eli David, Nathan S. Netanyahu
In this paper we introduce new types of square-piece jigsaw puzzles, where in addition to the unknown location and orientation of each piece, a piece might also need to be flipped.…