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DAGM
2010
Springer
15 years 8 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
HICSS
2002
IEEE
142views Biometrics» more  HICSS 2002»
15 years 11 months ago
Multi-perspective Enterprise Modeling (MEMO) - Conceptual Framework and Modeling Languages
For many companies, the strategic as well as the organizational fit of their information systems is a pivotal factor for staying competitive. At the same time, there is an increas...
Ulrich Frank
WWW
2008
ACM
16 years 7 months ago
Modeling online reviews with multi-grain topic models
In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...
Ivan Titov, Ryan T. McDonald
ICEIS
2005
IEEE
16 years 12 days ago
COCO: Composition Model and Composition Model Implementation
Component-based software engineering attempts to address the ever increasing demand for new software applications by enabling a compositional approach to software construction in ...
Naiyana Tansalarak, Kajal T. Claypool
214
Voted
CVPR
2004
IEEE
16 years 8 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic