24 search results - page 5 / 5 » Bayesian Inference for Nonnegative Matrix Factor Deconvoluti... |
INTERSPEECH
2010
12 years 11 months ago
2010
We propose a probabilistic factorial sparse coder model for single channel source separation in the magnitude spectrogram domain. The mixture spectrogram is assumed to be the sum ...
BMCBI
2010
13 years 4 months ago
2010
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
NIPS
2008
13 years 6 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
UAI
2003
13 years 6 months ago
2003
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...