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» SMEM Algorithm for Mixture Models
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CVPR
2008
IEEE
15 years 11 months ago
Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
80
Voted
ICASSP
2009
IEEE
15 years 4 months ago
An iterative approach to monaural musical mixture de-soloing
In this article, we introduce a novel approach for monaural source separation with the specific aim to separate a polyphonic musical recording into two main sources: a main instr...
Jean-Louis Durrieu, Gaël Richard, Bertrand Da...
ICASSP
2009
IEEE
15 years 4 months ago
A multistage approach for blind separation of convolutive speech mixtures
In this paper, we propose a novel algorithm for the separation of convolutive speech mixtures using two-microphone recordings, based on the combination of independent component an...
Tariqullah Jan, Wenwu Wang, DeLiang Wang
84
Voted
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
15 years 4 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
67
Voted
ICPR
2006
IEEE
15 years 10 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...