Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
We propose a new approach for automatic melody extraction from polyphonic audio, based on Probabilistic Latent Component Analysis (PLCA). An audio signal is first divided into vo...
1 2 3 In many real component-based systems and patterns of component interaction, there can be identified a stable part (like control component, server, instance handler) and a nu...
Abstract. Model Driven Engineering (MDE) aims to help software deto abstract the system implementations by means of models and meta-models. In Web-based Collaborative Information S...