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» Hierarchical Mixture Models for Nested Data Structures
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JACM
2010
208views more  JACM 2010»
13 years 7 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
ICASSP
2010
IEEE
13 years 8 months ago
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
Lukas Burget, Petr Schwarz, Mohit Agarwal, Pinar A...
VL
2002
IEEE
105views Visual Languages» more  VL 2002»
14 years 1 months ago
A Visual Framework for Modelling with Heterogeneous Notations
There is a range of modelling notations, both textual and diagrammatic, whose semantics are based on first-order predicate logic. This paper presents a visual framework for organ...
Jean Flower, John Howse, John Taylor, Stuart Kent
GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
14 years 2 months ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
MICCAI
2008
Springer
14 years 9 months ago
Discovering Modes of an Image Population through Mixture Modeling
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
Mert R. Sabuncu, Serdar K. Balci, Polina Golland