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ADAC
2007
58views more  ADAC 2007»
14 years 12 months ago
Generalized mixture models, semi-supervised learning, and unknown class inference
In this paper, we discuss generalized mixture models and related semi-supervised learning methods, and show how they can be used to provide explicit methods for unknown class infer...
Samuel J. Frame, Sreenivasa Rao Jammalamadaka
ACL
1997
15 years 1 months ago
Document Classification Using a Finite Mixture Model
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
Hang Li, Kenji Yamanishi
ICASSP
2011
IEEE
14 years 3 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
TSP
2011
125views more  TSP 2011»
14 years 6 months ago
Weight Adjusted Tensor Method for Blind Separation of Underdetermined Mixtures of Nonstationary Sources
—In this paper, a novel algorithm to blindly separate an instantaneous linear underdetermined mixture of nonstationary sources is proposed. It means that the number of sources ex...
Petr Tichavský, Zbynek Koldovský