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» Representing Aggregators in Relational Probabilistic Models
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MLDM
2005
Springer
14 years 1 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
CVIU
2008
179views more  CVIU 2008»
13 years 7 months ago
Incremental, scalable tracking of objects inter camera
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated cameras with non overlapping fields of view. The approach relie...
Andrew Gilbert, Richard Bowden
ICML
2008
IEEE
14 years 8 months ago
The dynamic hierarchical Dirichlet process
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
Lu Ren, David B. Dunson, Lawrence Carin
DMDW
2001
127views Management» more  DMDW 2001»
13 years 9 months ago
MAC: Conceptual data modeling for OLAP
In this paper we address the issue of conceptual modeling of data used in multidimensional analysis. We view the problem from the end-user point of view and we describe a set of r...
Aris Tsois, Nikos Karayannidis, Timos K. Sellis
ISMIS
2005
Springer
14 years 1 months ago
Statistical Database Modeling for Privacy Preserving Database Generation
Abstract. Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively fe...
Xintao Wu, Yongge Wang, Yuliang Zheng