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Take the latest spectral graph model, re-optimize parameters where we optimize for both spectral and spatial fit. A joint optimization. Start with 2/3 eigenmodes as guess for theta, then sort eigenmodes
or ... pick 2/3 to optimize theta, find eigenmodes that capture the spatial patterns after spatial fit, find 6-8 eigenmodes, then freeze eigenmodes and find theta.
Find eigenmodes that improves your spatial fit, and find the spectral component of those eigenmodes only. Do iterative optimization between spectral and spatial correlation in CM style.
The text was updated successfully, but these errors were encountered:
Take the latest spectral graph model, re-optimize parameters where we optimize for both spectral and spatial fit. A joint optimization. Start with 2/3 eigenmodes as guess for theta, then sort eigenmodes
or ... pick 2/3 to optimize theta, find eigenmodes that capture the spatial patterns after spatial fit, find 6-8 eigenmodes, then freeze eigenmodes and find theta.
Find eigenmodes that improves your spatial fit, and find the spectral component of those eigenmodes only. Do iterative optimization between spectral and spatial correlation in CM style.
The text was updated successfully, but these errors were encountered: