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» Structural Modelling with Sparse Kernels
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COMPGEOM
2011
ACM
14 years 1 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
CSC
2006
14 years 11 months ago
Applying Sparse Matrix Solvers to a Glacial Ice Sheet Model
- Two software packages for solving sparse systems of linear equations, SuperLU and UMFPACK, have been integrated with the University of Maine Ice Sheet Model for predicting the fo...
Rodney Jacobs, James Fastook, Aitbala Sargent
CVPR
2005
IEEE
15 years 12 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
CVPR
2010
IEEE
15 years 6 months ago
High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements
Modeling moving and deforming objects requires capturing as much information as possible during a very short time. When using off-the-shelf hardware, this often hinders the resolu...
Yi Xu, Daniel Aliaga
JMLR
2012
13 years 10 days ago
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
David Buchman, Mark W. Schmidt, Shakir Mohamed, Da...