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» A Hierarchical Latent Variable Model for Data Visualization
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NAACL
2010
13 years 6 months ago
Context-free reordering, finite-state translation
We describe a class of translation model in which a set of input variants encoded as a context-free forest is translated using a finitestate translation model. The forest structur...
Christopher Dyer, Philip Resnik
PAMI
2008
162views more  PAMI 2008»
13 years 8 months ago
Dimensionality Reduction of Clustered Data Sets
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Guido Sanguinetti
VISUALIZATION
2003
IEEE
14 years 2 months ago
Visualizing Spatial and Temporal Variability in Coastal Observatories
In this paper, we describe a set of 3D and 4D visualization tools and techniques for CORIE, a complex environmental observation and forecasting system (EOFS) for the Columbia Rive...
Walter Jiménez, Wagner Toledo Corrêa,...
CAV
2000
Springer
125views Hardware» more  CAV 2000»
14 years 11 days ago
Efficient Reachability Analysis of Hierarchical Reactive Machines
Hierarchical state machines is a popular visual formalism for software specifications. To apply automated analysis to such specifications, the traditional approach is to compile th...
Rajeev Alur, Radu Grosu, Michael McDougall
DEXAW
2010
IEEE
204views Database» more  DEXAW 2010»
13 years 10 months ago
Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Markus Muhr, Vedran Sabol, Michael Granitzer