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» Independent component analysis: algorithms and applications
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AI
2005
Springer
14 years 2 months ago
Comparing Dimension Reduction Techniques for Document Clustering
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
Bin Tang, Michael A. Shepherd, Malcolm I. Heywood,...
ICA
2010
Springer
13 years 9 months ago
Adaptive Segmentation and Separation of Determined Convolutive Mixtures under Dynamic Conditions
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...
Benedikt Loesch, Bin Yang
ICASSP
2011
IEEE
13 years 17 days ago
Separation and tracking of multiple speakers in a reverberant environment using a multiple model particle filter glimpsing metho
In this paper, we explore the problem of separating and localizing multiple maneuvering speakers in a reverberant environment. Moreover, the speakers can become silent intermitten...
Alireza Masnadi-Shirazi, Bhaskar D. Rao
SPEECH
2011
13 years 3 months ago
A multistage approach to blind separation of convolutive speech mixtures
We propose a novel algorithm for the separation of convolutive speech mixtures using two-microphone recordings, based on the combination of independent component analysis (ICA) an...
Tariqullah Jan, Wenwu Wang, DeLiang Wang
AI
2002
Springer
13 years 8 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...