gwtaylor

""" Python implementation of the OASIS algorithm.
Graham Taylor

Based on Matlab implementation of:
Chechik, Gal, et al.
"Large scale online learning of image similarity through ranking."
The Journal of Machine Learning Research 11 (2010): 1109-1135.
"""

from __future__ import division

gwtaylor

gwtaylor

""" Theano CRBM implementation.

For details, see:
Taylor GW, Hinton GE, Roweis ST. Modeling Human Motion Using Binary Latent Variables. 
In: Advances in Neural Information Processing Systems 19. MIT Press; 2007. pp. 1345–1352.
Sample data:
https://uoguelphca-my.sharepoint.com/:u:/g/personal/gwtaylor_uoguelph_ca/EfJARkZuiX1JmwMKQxQqKJMBaMBUNOcF83FW_n9gk7OIbg?e=fnCjet
@author Graham Taylor"""

import numpy

gwtaylor

(x86_64-apple-darwin10.8.0)dhcp0-176:Theano gwtaylor$ THEANO_FLAGS=blas.ldflags=-lblas python theano/misc/check_blas.py

        Some results that you can compare against. They were 10 executions
        of gemm in float64 with matrices of shape 2000x2000 (M=N=K=2000).
        All memory layout was in C order.

        CPU tested: Xeon E5345(2.33Ghz, 8M L2 cache, 1333Mhz FSB),
                    Xeon E5430(2.66Ghz, 12M L2 cache, 1333Mhz FSB),
                    Xeon E5450(3Ghz, 12M L2 cache, 1333Mhz FSB),
                    Xeon X5560(2.8Ghz, 12M L2 cache, hyper-threads?)