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ICCV
2001
IEEE
16 years 6 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
ICML
2009
IEEE
16 years 5 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
264
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ICDE
2008
IEEE
140views Database» more  ICDE 2008»
16 years 6 months ago
Top-k Spatial Joins of Probabilistic Objects
Probabilistic data have recently become popular in applications such as scientific and geospatial databases. For images and other spatial datasets, probabilistic values can capture...
Vebjorn Ljosa, Ambuj K. Singh
ESOP
2006
Springer
15 years 8 months ago
Step-Indexed Syntactic Logical Relations for Recursive and Quantified Types
We present a sound and complete proof technique, based on syntactic logical relations, for showing contextual equivalence of expressions in a -calculus with recursive types and imp...
Amal J. Ahmed
DOLAP
2010
ACM
15 years 2 months ago
Relational versus non-relational database systems for data warehousing
Relational database systems have been the dominating technology to manage and analyze large data warehouses. Moreover, the ER model, the standard in database design, has a close r...
Carlos Ordonez, Il-Yeol Song, Carlos Garcia-Alvara...