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Fast detection of novel problematic patterns based on dictionary learning and prediction of their lithographic difficulty

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Fast detection of novel problematic patterns based on dictionary learning and prediction of their lithographic difficulty

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Unsupervised Visual Entity Abstraction towards 2D and 3D Compositional Models

Learning and leveraging shared domain semantics to counteract visual domain shifts

Dictionary Learning for Two-Dimensional Kendall Shapes

Deep Micro-Dictionary Learning and Coding Network

Multi-task additive models with shared transfer functions based on dictionary learning

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Learning from sparse codes

Dictionary learning for fast classification based on soft-thresholding

Multi-Graph Learning of Spectral Graph Dictionaries

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Unsupervised Visual Entity Abstraction towards 2D and 3D Compositional Models

Dictionary learning for fast classification based on soft-thresholding

Learning and leveraging shared domain semantics to counteract visual domain shifts

Multi-Graph Learning of Spectral Graph Dictionaries

Dictionary Learning for Two-Dimensional Kendall Shapes

Deep Micro-Dictionary Learning and Coding Network

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Learning from sparse codes

Multi-task additive models with shared transfer functions based on dictionary learning