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JMLR
2010
121views more  JMLR 2010»
15 years 1 months ago
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
Han Xiao, Thomas Stibor
ICASSP
2011
IEEE
14 years 10 months ago
Concurrent estimation of singing voice F0 and phonemes by using spectral envelopes estimated from polyphonic music
The scarcity of available multi-track recordings constitutes a severe constraint on the training of probabilistic models for voice extraction from polyphonic music. We propose a n...
Hiromasa Fujihara, Masataka Goto
IPL
2011
91views more  IPL 2011»
14 years 9 months ago
Fast leader election in anonymous rings with bounded expected delay
We propose a probabilistic network model, called asynchronous bounded expected delay (ABE), which requires a known bound on the expected message delay. In ABE networks all asynchr...
Rena Bakhshi, Jörg Endrullis, Wan Fokkink, Ju...
PRL
2011
15 years 1 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
ICML
2006
IEEE
16 years 7 months ago
The rate adapting poisson model for information retrieval and object recognition
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
Peter V. Gehler, Alex Holub, Max Welling