activity
20092025
most citedTropical Polynomial Division and Neural Networks

7 citations · 40 across the 32 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.LG20193 cited

Tropical Geometry and Piecewise-Linear Approximation of Curves and Surfaces on Weighted Lattices

Petros Maragos, Emmanouil Theodosis

Tropical Geometry and Mathematical Morphology share the same max-plus and min-plus semiring arithmetic and matrix algebra. In this chapter we summarize some of their main ideas and…

cs.LG20197 cited

Tropical Polynomial Division and Neural Networks

Georgios Smyrnis, Petros Maragos

In this work, we examine the process of Tropical Polynomial Division, a geometric method which seeks to emulate the division of regular polynomials, when applied to those of the ma…

cs.LG2019

Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music

Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis +2

Instrument classification is one of the fields in Music Information Retrieval (MIR) that has attracted a lot of research interest. However, the majority of that is dealing with mon…

cs.CV2019

A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences

Nikos Melanitis, Petros Maragos

We examine 3D reconstruction of architectural scenes in unordered sets of uncalibrated images. We introduce a linear method to self-calibrate and find the metric reconstruction of…

cs.LG2019

RecNets: Channel-wise Recurrent Convolutional Neural Networks

George Retsinas, Athena Elafrou, Georgios Goumas +1

In this paper, we introduce Channel-wise recurrent convolutional neural networks (RecNets), a family of novel, compact neural network architectures for computer vision tasks inspir…

cs.CV2019

Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection

Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Koutras +2

Detecting visual relationships, i.e. <Subject, Predicate, Object> triplets, is a challenging Scene Understanding task approached in the past via linguistic priors or spatial inform…