High dimensional model representation

Part 2 of ebook "Statistics and analysis of shapes" provides readers with contents including: on the representation of shapes using implicit functions; computing with point cloud data; determining intrinsic dimension and entropy of high-dimensional shape spaces; object-image metrics for generalized weak perspective projection; wulff shapes at zero temperature for some models used in image processing;...

222p mothoiphong 28-06-2024 1 1   Download

Deep generative models such as variational autoencoders (VAEs) and generative adversarial networks (GANs) generate and manipulate high-dimensional images. We systematically assess the complementary strengths and weaknesses of these models on single-cell gene expression data.

26p viarchimedes 26-01-2022 13 0   Download

Binary classification rules based on a small-sample of high-dimensional data (for instance, gene expression data) are ubiquitous in modern bioinformatics. Constructing such classifiers is challenging due to (a) the complex nature of underlying biological traits, such as gene interactions, and (b) the need for highly interpretable glass-box models.

27p vicolorado2711 22-10-2020 8 0   Download