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In this study, we provide a robust parcellation method for rs-fMRI-based brain parcellation, which constructs a sparse similarity graph based on the sparse representation coefficients of each seed voxel and then uses spectral clustering to identify distinct modules.
In a follow-up telephone conversation, Ms. Kurasz expressed some skepticism about electric vehicles, based on the sparse use of the charging station as well as the utility's experience with battery-powered vehicles.
The group of artists now known as the Anhui school (including Ding Yunpeng, Xiao Yuncong, Mei Qing, Zha Shibiao, and Dai Benxiao) mostly pursued an emotional extreme opposite from Gong Xian and Kuncan, a severe coolness based on the sparse, dry linear style of the Yuan artist Ni Zan.
No matter what else it accomplishes, this meeting in Helsinki will undoubtedly count as the first such session in which Kremlinology has morphed into Twitterology for the thousands of journalists gathered here to interpret the proceedings based on the sparse information that has been officially handed out.
Based on the sparse set of monitoring wells, field scale mass fluxes and first-order natural attenuation rate constants of benzene, toluene, ethylbenzene, and o-xylene and p-xylene (BTEX) and low molecular weight polycyclic aromatic hydrocarbons (PAH) were estimated utilizing different point scale and also a new integral investigation method.
They were based on the sparse representation of the observation signals in the time-frequency domain.
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Once past a simple opening - oboe and strings trace a delicate, timeless melody based on the sparsest of intervals - he unleashes a riotous, Dionysiac processional of eruptive brass and pulverising percussive throbs.
The computations are based on the Parallel Sparse BLAS (PSBLAS) library.
Here we demonstrate de-noising results based on the proposed sparse representation in the presence of additive white Gaussian noise (AWGN).
To construct multiple alignments, we suggest a progressive alignment pipeline based on the pairwise SPARSE algorithm.
We propose a learning-based background subtraction approach based on the theory of sparse representation and dictionary learning.
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based on the scatter
based on the meagre
based on the sparsity
based on the fragmented
based on the few
based on the scant
based on the thin
based on the weak
based on the lightweight
based on the slight
based on the British
based on the proposed
based on the experimental
based on the local
based on the available
based on the bottom
based on the early
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