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Latest Publications and Research on Health Benefits of Eating Prunes

Brain Res.   2020 Jan 22   

Hemispheric asymmetry of Calbindin-positive neurons is associated with successful song imitation.

Pagliaro AH, Arya P, Sharbaf Y, Gobes SMH

The plasticity that facilitates learning during critical (sensitive) periods in development is tightly regulated by inhibitory neurons. Song acquisiti ... Read More

Source: PubMed
IEEE Trans Image Process   2019 Dec 30   

A Context-aware Locality Measure for Inlier Pool Enrichment in Stepwise Image Registration.

Zhang S, Zhao W, Hao X, Yang Y, Guan C

We present a feature-based image registration method, the stepwise image registration (SIR), with a closed-form solution. Our SIR creates an inlier po ... Read More

Source: PubMed
Front Genet      

Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding.

Luo X, Chi W, Deng M

Convolutional neural network (CNN) based methods have outperformed conventional machine learning methods in predicting the binding preference of DNA-p ... Read More

Source: PubMed
Brain Res.   2020 Jan 22   

Hemispheric asymmetry of Calbindin-positive neurons is associated with successful song imitation.

Pagliaro AH, Arya P, Sharbaf Y, Gobes SMH

The plasticity that facilitates learning during critical (sensitive) periods in development is tightly regulated by inhibitory neurons. Song acquisiti ... Read More

Source: PubMed
IEEE Trans Image Process   2019 Dec 30   

A Context-aware Locality Measure for Inlier Pool Enrichment in Stepwise Image Registration.

Zhang S, Zhao W, Hao X, Yang Y, Guan C

We present a feature-based image registration method, the stepwise image registration (SIR), with a closed-form solution. Our SIR creates an inlier po ... Read More

Source: PubMed
Front Genet      

Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding.

Luo X, Chi W, Deng M

Convolutional neural network (CNN) based methods have outperformed conventional machine learning methods in predicting the binding preference of DNA-p ... Read More

Source: PubMed

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