“…Sparse coding has been shown to be effective for many tasks such as image imprinting (Moody et al, 2012), image deblurring (Yin et al, 2008), super-resolution (Yang et al, 2008), classification (Mairal et al, 2009), functional brain connectivity (Lv et al, 2015(Lv et al, , 2017, and structural morphometry analysis (Zhang et al, 2017a). Our previous studies (Zhang et al, 2016a(Zhang et al, ,b, 2017a propose a PASS-MP method, consisting of sparse coding (Lee et al, 2007;Mairal et al, 2009), and Max-pooling (LeCun et al, 2015), for surface feature dimension reduction. PASS-MP has excellent impressive performance for the sparse coding of our MMS features.…”