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» Defining implicit objective functions for design problems
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ICCV
2001
IEEE
14 years 11 months ago
Beyond Lambert: Reconstructing Surfaces with Arbitrary BRDFs
W e address an open and hitherto neglected problem in computer vision, how to reconstruct the geometry of objects with arbitrary and possibly anisotropic bidirectional reflectance...
Sebastian Magda, David J. Kriegman, Todd Zickler, ...
PAMI
2006
145views more  PAMI 2006»
13 years 9 months ago
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis approaches to a number of vi...
Todd Zickler, Ravi Ramamoorthi, Sebastian Enrique,...
ACCV
2010
Springer
13 years 4 months ago
Efficient Structured Support Vector Regression
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
Ke Jia, Lei Wang, Nianjun Liu
MDAFA
2004
Springer
124views Hardware» more  MDAFA 2004»
14 years 2 months ago
MISTRAL: A Language for Model Transformations in the MOF Meta-modeling Architecture
In the Meta Object Facility (MOF) meta-modeling architecture a number of model transformation scenarios can be identified. It could be expected that a meta-modeling architecture wi...
Ivan Kurtev, Klaas van den Berg
SIAMSC
2010
155views more  SIAMSC 2010»
13 years 3 months ago
Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors
In this paper we proposed quasi-Newton and limited memory quasi-Newton methods for objective functions defined on Grassmannians or a product of Grassmannians. Specifically we defin...
Berkant Savas, Lek-Heng Lim