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» Collapsed Variational Dirichlet Process Mixture Models
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MMM
2011
Springer
244views Multimedia» more  MMM 2011»
13 years 1 months ago
Generating Representative Views of Landmarks via Scenic Theme Detection
Visual summarization of landmarks is an interesting and non-trivial task with the availability of gigantic community-contributed resources. In this work, we investigate ways to gen...
Yi-Liang Zhao, Yan-Tao Zheng, Xiangdong Zhou, Tat-...
SAC
2011
ACM
13 years 4 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
ICML
2008
IEEE
14 years 10 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
14 years 10 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 4 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