Released MATLAB code for CVPR_2016
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CDLS_functions
data
CDLS_demo.m
README
README.md

README.md

Cross-Domain-Landmarks-Selection-CDLS-

##Author: Yao-Hung (Hubert) Tsai yaohungt@andrew.cmu.edu

#####Package with code and demo usage for the paper:
#####"Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation"

Yao-Hung Hubert Tsai, Yi-Ren Yeh and Yu-Chiang Frank Wang
Computer Vision and Pattern Recognition (CVPR) 2016.

Setup:

  • Dowload and compile libsvm with weights support
  • Edit CDLS_demo.m with desired parameters and path
    • edit the path to /libsvm-weights/matlab
    • edit the paramters of iter, delta, and PCA_dimension if you want
  • Put you own data in /data
    • E.g., /data/amazon_DeCAF_dslr_SURF.mat is a random split of images from Office and Caltech-256 Datasets (Amazon images with DeCAF features and DSLR images with SURF features)

Run:

  • Directly run CDLS_demo.m