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CIKM
2010
Springer
13 years 6 months ago
Decomposing background topics from keywords by principal component pursuit
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...
Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
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 ...
ICASSP
2011
IEEE
12 years 11 months ago
Improving melody extraction using Probabilistic Latent Component Analysis
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...
Jinyu Han, Ching-Wei Chen
IEE
2008
117views more  IEE 2008»
13 years 6 months ago
Formal verification of systems with an unlimited number of components
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...
Pavlína Vareková, Barbora Zimmerova,...
OTM
2010
Springer
13 years 5 months ago
An Interaction Meta-model for Cooperative Component-Based User Interfaces
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...
Luis Iribarne, Nicolás Padilla, Javier Cria...