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» Sparse Image Reconstruction using Sparse Priors
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ICML
2007
IEEE
16 years 4 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
162
Voted
3DIM
2007
IEEE
15 years 7 months ago
Examplar-based Shape from Shading
Traditional Shape-from-Shading (SFS) techniques aim to solve an under-constrained problem: estimating depth map from one single image. The results are usually brittle from real im...
Xinyu Huang, Jizhou Gao, Liang Wang, Ruigang Yang
145
Voted
CVPR
2005
IEEE
16 years 5 months ago
A Direct Method for Modeling Non-Rigid Motion with Thin Plate Spline
Thin plate spline (TPS) transformations have been applied to non-rigid shape matching with impressive results. However, existing methods often use a sparse set of point correspond...
Jongwoo Lim, Ming-Hsuan Yang
140
Voted
ICML
2009
IEEE
16 years 4 months ago
Learning dictionaries of stable autoregressive models for audio scene analysis
In this paper, we explore an application of basis pursuit to audio scene analysis. The goal of our work is to detect when certain sounds are present in a mixed audio signal. We fo...
Youngmin Cho, Lawrence K. Saul
ICASSP
2009
IEEE
15 years 10 months ago
A hybrid method for deconvolution of Bernoulli-Gaussian processes
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertü...