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» An Inverse Problem Approach to BRDF Modeling
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TSP
2010
14 years 4 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
FASE
2009
Springer
15 years 2 months ago
Problem-Oriented Documentation of Design Patterns
In order to retrieve, select and apply design patterns in a tool-supported way, we suggest to construct and document a problemcontext pattern that reflects the essence of the prob...
Alexander Fülleborn, Klaus Meffert, Maritta H...
VLDB
2007
ACM
130views Database» more  VLDB 2007»
15 years 10 months ago
Model Management and Schema Mappings: Theory and Practice
We present an overview of a tutorial on model management--an approach to solving data integration problems, such as data warehousing, e-commerce, object-to-relational mapping, sch...
Philip A. Bernstein, Howard Ho
UAI
2008
14 years 11 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
WSC
2000
14 years 11 months ago
Avatar kinematics modeling for telecollaborative virtual environments
This paper introduced the application of a more efficient mathematical representation of the kinematics of avatars, or digital human beings, in telecollaborative virtual reality e...
Cristian Luciano, Pat Banerjee