Named Entity Recognition: Applications and Techniques
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Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
Explores the Bayesian extension of HMM for robot action segmentation and modeling, limitations of classical HMMs, and motion capture data segmentation.