Applied and Computational Harmonic Analysis

Inducing Wavelets into Random Fields via Generative Boosting

Jianwen Xie     Yang Lu     Song-Chun Zhu     Ying Nian Wu

University of California, Los Angeles (UCLA), USA


Reproducing Experiments

 

Exp 1: Learning Sparse FRAME by Gibbs Sampler on Coefficients and Generative Boosting

Exp 2: Learning Sparse FRAME by HMC and Generative Boosting

Exp 3: Learning Sparse FRAME by Langevin Dynamics and Generative Boosting

Exp 4: Wavelet Selection by Generative Boosting

Exp 5: Shared Sparse Coding by Sparse FRAME via Generative Boosting (reconstruction of training images)

Exp 6: Learning Sparse FRAME with Local Normalization

Exp 7: Learning Sparse FRAME by Gibbs Sampler on Coefficients and Generative Boosting (multiple selection)

Exp 8: Detection via Sparse FRAME Model Learned by Generative Boosting (with local normalization)

Exp 9: Mixing of Sampling (Gibbs v.s. HMC)

Exp 10: Learning Sparse FRAME Model from Unaligned Images by Generative Boosting

Exp 11: Learning Mixture of Sparse FRAME Models for Clustering by Generative Boosting (with local normalization)

Exp 12: Comparison with Two-stage Learning (approximation error & selection accuracy)



The work is supported by NSF DMS 1310391, ONR MURI N00014-10-1-0933, DARPA MSEE FA8650-11-1-7149.