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» Modeling Multidimensional Databases
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108
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AAAI
2006
15 years 2 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
88
Voted
ANOR
2008
75views more  ANOR 2008»
15 years 25 days ago
Geometric decay in level-expanding QBD models
Level-expanding quasi-birth-and-death (QBD) processes have been shown to be an efficient modeling tool for studying multi-dimensional systems, especially twodimensional ones. Comp...
Liming Liu, Masakiyo Miyazawa, Yiqiang Q. Zhao
MICCAI
2010
Springer
14 years 10 months ago
A Generative Model for Brain Tumor Segmentation in Multi-Modal Images
Abstract. We introduce a generative probabilistic model for segmentation of tumors in multi-dimensional images. The model allows for different tumor boundaries in each channel, ref...
Bjoern H. Menze, Koenraad Van Leemput, Danial Lash...
TIME
1994
IEEE
15 years 4 months ago
On the Representation of Temporal Object Roles in Object Oriented Databases
This paper outlines a generic, core temporal object model that provides support for the modeling of temporal object roles. This model draws from notions introduced in some of our ...
Niki Pissinou, Kia Makki
CEC
2005
IEEE
15 years 6 months ago
A hybrid model of evolutionary algorithms and branch-and-bound for combinatorial optimization problems
Abstract- Branch-and-Bound and evolutionary algorithms represent two very different approaches for tackling combinatorial optimization problems. These approaches are not incompatib...
José E. Gallardo, Carlos Cotta, Antonio J. ...