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A Structured Dictionary Perspective on Implicit Neural Representations

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A Structured Dictionary Perspective on Implicit Neural Representations

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

Learning from sparse codes

Sparse Subspace Modeling for Query by Example Spoken Term Detection

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

Dictionary learning for fast classification based on soft-thresholding

A Deeper Look at Dataset Bias

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Learning Parametric Dictionaries for Signals on Graphs

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

Learning Separable Filters

Sparse Subspace Modeling for Query by Example Spoken Term Detection

Dictionary learning for fast classification based on soft-thresholding

Transformation-Invariant Dictionary Learning for Classification with 1-Sparse Representations

Learning Parametric Dictionaries for Signals on Graphs

Dictionary Learning Over Distributed Models

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

Learning from sparse codes

A Deeper Look at Dataset Bias