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» Matrix-Variate Dirichlet Process Mixture Models
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SAC
2011
ACM
13 years 2 months ago
Slice sampling mixture models
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
Maria Kalli, Jim E. Griffin, Stephen G. Walker
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
14 years 7 months ago
Unsupervised deduplication using cross-field dependencies
Recent work in deduplication has shown that collective deduplication of different attribute types can improve performance. But although these techniques cluster the attributes col...
Robert Hall, Charles A. Sutton, Andrew McCallum
EMMCVPR
2007
Springer
14 years 1 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
ICASSP
2011
IEEE
12 years 10 months ago
Non-parametric bayesian measurement noise density estimation in non-linear filtering
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
Emre Özkan, Saikat Saha, Fredrik Gustafsson, ...
EMNLP
2010
13 years 5 months ago
Evaluating Models of Latent Document Semantics in the Presence of OCR Errors
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...
Daniel David Walker, William B. Lund, Eric K. Ring...