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» Nested Ordered Sets and their Use for Data Modelling
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DAGM
2008
Springer
15 years 8 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
ICML
2004
IEEE
16 years 7 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...
IPPS
1996
IEEE
15 years 10 months ago
A Parallel Solution to the Extended Set Union Problem with Unlimited Backtracking
In this paper, we study on the EREW-PRAM model a parallel solution to the extended set union problem with unlimited backtracking which maintains a dynamic partition of an n-elemen...
Maria Cristina Pinotti, Vincenzo A. Crupi, Sajal K...
MEMOCODE
2006
IEEE
16 years 17 days ago
A scenario-aware data flow model for combined long-run average and worst-case performance analysis
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...
DCC
2007
IEEE
16 years 27 days ago
Data Hiding based Compression Mechanism for 3D Models
: The paper proposes a lossy compression mechanism for 3D models (3D meshes) by improving existing compression mechanism such as progressive meshes and single refinement mesh compr...
Hui Li, Parag Agarwal, Balakrishnan Prabhakaran