most citedSupervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2020★ 2 cited

Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features

Francisco J. H. Heras, Gonzalo G. de Polavieja

We explore the application of linear discriminant analysis (LDA) to the features obtained in different layers of pretrained deep convolutional neural networks (CNNs). The advantage…

cs.CV2018

idtracker.ai: Tracking all individuals in large collectives of unmarked animals

Francisco Romero-Ferrero, Mattia G. Bergomi, Robert Hinz +2

Our understanding of collective animal behavior is limited by our ability to track each of the individuals. We describe an algorithm and software, idtracker.ai, that extracts from…