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» Density Estimation Using Mixtures of Mixtures of Gaussians
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NIPS
2008
13 years 10 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
TASLP
2010
177views more  TASLP 2010»
13 years 3 months ago
A Watermarking-Based Method for Informed Source Separation of Audio Signals With a Single Sensor
In this paper, the issue of audio source separation from a single channel is addressed, i.e. the estimation of several source signals from a single observation of their mixture. Th...
Mathieu Parvaix, Laurent Girin, Jean-Marc Brossier
ICASSP
2011
IEEE
13 years 27 days ago
Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity
This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels...
Ngoc Q. K. Duong, Hideyuki Tachibana, Emmanuel Vin...
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
13 years 9 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring
CVPR
2012
IEEE
11 years 11 months ago
Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
Kaushik Mitra, Ashok Veeraraghavan