HIERARCHICAL SPARSE METHOD WITH APPLICATIONS IN VISION AND SPEECH RECOGNITION

DOI10.1142/S0219691313500161zbMath1267.68203OpenAlexW2156597697MaRDI QIDQ2836534

Hong Li, Ramadhan Abdo Musleh Alsaidi, Rokan Khaji, Yantao Wei, Yuan Yan Tang

Publication date: 3 July 2013

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691313500161

zbMATH Keywords

feature extractionsparse codinghierarchical learningisolated wordpooling operation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

Semantic guided level-category hybrid prediction network for hierarchical image classification

Cites Work

• Networks and the best approximation property
• Regularization networks and support vector machines
• Mathematics of the neural response
• Atomic Decomposition by Basis Pursuit
• GABOR-BASED TENSOR LOCAL DISCRIMINANT EMBEDDING AND ITS APPLICATION ON PALMPRINT RECOGNITION
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
• TENSOR LOCALITY SENSITIVE DISCRIMINANT ANALYSIS AND ITS COMPLEXITY
• Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ ¹ minimization

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