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CIKM
2010
Springer
14 years 8 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
97
Voted
BMCBI
2010
113views more  BMCBI 2010»
14 years 9 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
14 years 1 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»
14 years 9 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
14 years 8 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...