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NIPS
2004
14 years 11 months ago
Learning, Regularization and Ill-Posed Inverse Problems
Many works have shown that strong connections relate learning from examples to regularization techniques for ill-posed inverse problems. Nevertheless by now there was no formal ev...
Lorenzo Rosasco, Andrea Caponnetto, Ernesto De Vit...
CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 9 months ago
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
IJAR
2007
48views more  IJAR 2007»
14 years 9 months ago
Using expert knowledge in solving the seismic inverse problem
For many practical applications, it it important to solve the seismic inverse problem, i.e., to measure seismic travel times and reconstruct velocities at different depths from t...
Matthew G. Averill, Kate C. Miller, G. Randy Kelle...
ESOP
2010
Springer
15 years 7 months ago
A Grammar-based Approach to Invertible Programs
Abstract. Program inversion has many applications such as in the implementation of serialization/deserialization and in providing support for redo/undo, and has been studied by man...
Kazutaka Matsuda, Shin-Cheng Mu, Zhenjiang Hu and ...
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ICRA
2008
IEEE
158views Robotics» more  ICRA 2008»
15 years 4 months ago
Inverse Kinematics without matrix inversion
– This paper presents a new singularity robust and computationally efficient method for solving the inverse kinematics (IK) problem. In this method, the transformation from Carte...
Alexandre N. Pechev