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LEARNING SEMANTIC WORD RESPRESENTATIONS VIA TENSOR FACTORIZATION
We present two new word embedding techniques based on tensor factorization and show that they outperform common methods on several semantic NLP tasks when given the same data.
Multimodal MRI Neuroimaging with Motion Compensation Based on Particle Filtering
Head motion in fMRI acquired using slice-based Echo Planar Imaging (EPI) can be estimated and compensated by aligning the images onto a reference volume through image registration.
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