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This
three-part workshop series introduces participants to natural language
processing (NLP) with Python. It builds on our text mining series,
"Getting Started with Textual Data," by…
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Distributed deep learning (DL) plays a critical role in many wireless Internet of Things (IoT) applications including remote camera deployment. This work addresses three practical challenges in…
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AMS-1C Lecture 2021-09-29 at 16:10
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Algorithmic Frameworks for Neuromorphic Computing: Neural Engineering Framework (NEF) Luis El Srouji gives an overview and explanation of the Neural Engineering Framework which can calculate weight…
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Abstract: Sparse Manifold clustering and embedding (SMCE) is an algorithm to cluster nonlinear manifolds using self-representation in the dictionary of data points and a proximity regularization. A…
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In this talk, we offer an entirely “white box’’ interpretation of deep (convolution) networks from the perspective of data compression (and group invariance). In particular, we show…
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Weyl-Minkowski's theorem proved using Fourier Motzkin elimination and Polarity of cones.
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Weyl-Minkowski's theorem proved using Fourier Motzkin elimination and Polarity of cones.
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ECS-175 Lecture 2020-11-12 at 11:00
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Kasey Devlin explains how to determine the symmetry labels for BH3 ligand group orbitals for a MO diagram.
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BH3 stretch vibrations & CH4 stretch vibrations
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Vibrational modes for molecules, IR and Raman spectroscopy, selection rules for IR and Raman, Rule of Mutual Exclusion
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