Galaxy Image Classification using Non-Negative Matrix Factorization

Galaxy Image Classification using Non-Negative Matrix Factorization

In modern astronomy with the advent of astronomical imaging technology developments and the increased capacity of digital storage, lead to the production of photographic atlases of data which need to be processed autonomously. Galaxies morphology is an important topic to understand questions concerning the evolution and formation of galaxies and their content. In this work, morphological classi...

Galaxy Image Classification using Non-Negative Matrix Factorization

In modern astronomy with the advent of astronomical imaging technology developments and the increased capacity of digital storage, lead to the production of photographic atlases of data which need to be processed autonomously. Galaxies morphology is an important topic to understand questions concerning the evolution and formation of galaxies and their content. In this work, morphological classi...

Analyzing Non-Negative Matrix Factorization for Image Classification

The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is capable to produce a regionor partbased representation of objects and images. This paper experimentally compares NMF to Principal Component Analysis (PCA) in the context of image patch classification. A first finding is that the two techniques are complementary and that their re...

Multimodal Image Collection Visualization Using Non-negative Matrix Factorization

In this paper we address the problem of generating an image collection visualization in which images and text can be projected together. Given a collection of images with attached text annotations, we aim to find a common representation for both information sources to model latent correlations among the collection. Using the proposed latent representation, an image collection visualization is b...

Non-negative matrix factorization