most citedDeepSign: Deep Learning for Automatic Malware Signature Generation and Classification

224 citations · 622 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CV2017★ 47 cited

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…

cs.CV2017★ 8 cited

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…

cs.CV2017★ 7 cited

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…

cs.CV2017★ 73 cited

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…

cs.CV2017★ 3 cited

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.…

cs.CV2017★ 35 cited

An Automatic Solver for Very Large Jigsaw Puzzles Using Genetic Algorithms

Dror Sholomon, Eli David, Nathan S. Netanyahu

In this paper we propose the first effective genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel crossover procedure that merges two "parent" solutions to an im…