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A data-driven shock capturing approach for discontinuous Galekin methods

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A data-driven shock capturing approach for discontinuous Galekin methods

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Simple Image Description Generator via a Linear Phrase-based Model

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Exploiting Phoneme Similarities in Hybrid HMM-ANN Keyword Spotting

Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model

Gaze Evidence for Different Activities in Program Understanding

Recurrent Convolutional Neural Networks for Scene Labeling

Improving Object Classification using Pose Information

Exploiting Phoneme Similarities in Hybrid HMM-ANN Keyword Spotting

Reaction Enthalpies Using the Neural-Network-Based X1 Approach: The Important Choice of Input Descriptors

Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model

Simple Image Description Generator via a Linear Phrase-based Model

Recurrent Convolutional Neural Networks for Scene Parsing

Exploiting Phoneme Similarities in Hybrid HMM-ANN Keyword Spotting

Convergence Analysis and Criterion for Data Assimilation with Sensitivities from Monte Carlo Neutron Transport Codes