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NIPS
2007
15 years 1 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
CIKM
2011
Springer
13 years 11 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
IJCV
2008
188views more  IJCV 2008»
14 years 12 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
ISBI
2002
IEEE
15 years 4 months ago
A shape reconstruction method for diffuse optical tomography using a transport model and level sets
A two-step shape reconstruction method for diffuse optical tomography (DOT) is presented which uses adjoint fields and level sets. The propagation of near-infrared photons in tis...
O. Dorn
ENVSOFT
2002
129views more  ENVSOFT 2002»
14 years 11 months ago
Linking GIS and water resources management models: an object-oriented method
Many challenges are associated with the integration of geographic information systems (GISs) with models in specific applications. One of them is adapting models to the environmen...
Daene C. McKinney, Ximing Cai