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DAGM
2010
Springer
13 years 9 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
ICASSP
2007
IEEE
14 years 15 days ago
Array Processing Approach for Object Segmentation in Images
Thanks to a specific formalism for signal generation, it is possible to transpose an image processing problem to an array processing problem. For straight line characterization, t...
Julien Marot, Salah Bourennane, Mouloud Adel
HICSS
2002
IEEE
76views Biometrics» more  HICSS 2002»
14 years 1 months ago
An Approach to Middleware for Repeatable Collaborative Processes
Research suggests that in order for GSS to be deployed successfully over the long term, it must be integrated into the daily work practices of an organization, in support of repea...
Thomas Gregory, Robert O. Briggs
BPM
2006
Springer
113views Business» more  BPM 2006»
14 years 11 days ago
Process Equivalence: Comparing Two Process Models Based on Observed Behavior
In various application domains there is a desire to compare process models, e.g., to relate an organization-specific process model to a reference model, to find a web service match...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
ICIAP
2009
ACM
14 years 9 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...