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IJCAI
2003
15 years 8 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 7 months ago
Mathematical Foundations for a Compositional Distributional Model of Meaning
We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, fo...
Bob Coecke, Mehrnoosh Sadrzadeh, Stephen Clark
CORR
2008
Springer
126views Education» more  CORR 2008»
15 years 7 months ago
3D Building Model Fitting Using A New Kinetic Framework
We describe a new approach to fit the polyhedron describing a 3D building model to the point cloud of a Digital Elevation Model (DEM). We introduce a new kinetic framework that hi...
Mathieu Brédif, Didier Boldo, Marc Pierrot ...
IVC
2006
180views more  IVC 2006»
15 years 7 months ago
Active appearance models with occlusion
Active Appearance Models (AAMs) are generative parametric models that have been successfully used in the past to track faces in video. A variety of video applications are possible...
Ralph Gross, Iain Matthews, Simon Baker
SIAMSC
2008
198views more  SIAMSC 2008»
15 years 7 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas