Join GitHub today
GitHub is home to over 20 million developers working together to host and review code, manage projects, and build software together.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
|Failed to load latest commit information.|
Read Me !! 1. Setup - Download and install OMPBox from Rob Rubinstein: http://www.cs.technion.ac.il/~ronrubin/Software/ompbox10.zip - Download and install oASIS solver: https://bitbucket.org/rjp2/oasis/ - Add all folders in oASIS, OMPbox, and SEED to your path 2. To get started - To run SEED on a synthetic dataset consisting of a union of subspaces, run uos_demo.m - To run SEED on a real dataset consisting of a collection of face images under different illumination conditions, run face_demo.m (This face data is taken from a subset of the YaleB face database, http://vision.ucsd.edu/~leekc/ExtYaleDatabase/ExtYaleB.html) 3. References The paper associated with SEED: E.L. Dyer, T.A. Goldstein, R. Patel, K.P. Kording, R.G. Baraniuk,"Self-Expressive Decompositions for Matrix Approximation and Clustering", http://arxiv.org/abs/1505.00824 The paper associated with our column sampling method oASIS: R. Patel, T.A. Goldstein, E.L. Dyer, A. Mirhoseini, R.G. Baraniuk, "oASIS: Adaptive Column Sampling for Kernel Matrix Approximation", http://arxiv.org/abs/1505.05208 ** Code and examples for the sampling method (oASIS) used in SEED can be found at: https://bitbucket.org/rjp2/oasis/