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JMLR
2010
152views more  JMLR 2010»
14 years 4 months ago
Bayesian Generalized Kernel Models
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. ...
TIP
2010
137views more  TIP 2010»
14 years 4 months ago
Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps
We propose to model the image differentials of astrophysical source maps by Student's t-distribution and to use them in the Bayesian source separation method as priors. We int...
Koray Kayabol, Ercan E. Kuruoglu, José Luis...
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ICASSP
2011
IEEE
14 years 1 months ago
Point process MCMC for sequential music transcription
In this paper, models and algorithms are presented for transcription of pitch and timings in polyphonic music extracts, focusing on the algorithm details of the sequential Markov ...
Pete Bunch, Simon J. Godsill
IPPS
2010
IEEE
14 years 7 months ago
On the parallelisation of MCMC by speculative chain execution
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. B...
PAMI
2007
196views more  PAMI 2007»
14 years 9 months ago
Bayesian Analysis of Lidar Signals with Multiple Returns
—Time-Correlated Single Photon Counting and Burst Illumination Laser data can be used for range profiling and target classification. In general, the problem is to analyze the res...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...