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» Multidimensional Data Modeling for Complex Data
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ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
16 years 9 days ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
DAGM
2004
Springer
16 years 2 days ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
CIMCA
2006
IEEE
15 years 10 months ago
An Improvement in Sugeno-Yasukawa Modeler
Structure identification is one of the most significant steps in Fuzzy modeling of a complex system. Efficient structure identification requires good approximation of the effectiv...
Amir Hossein Hadad, Saeed Shiry Ghidary, Saeed Bag...
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
16 years 22 days ago
Optimal Segmentation Using Tree Models
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
Robert Gwadera, Aristides Gionis, Heikki Mannila
ICPR
2004
IEEE
16 years 7 months ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller