Design of Non-Linear Kernel Dictionaries for Object Recognition

DOI10.1109/TIP.2013.2282078zbMath1373.68328DBLPjournals/tip/NguyenPNC13WikidataQ50720275 ScholiaQ50720275MaRDI QIDQ5373653

Nasser M. Nasrabadi, Hien van Nguyen, Rama Chellappa, Vishal M. Patel

Publication date: 27 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (12)

Multiple kernel low-rank representation-based robust multi-view subspace clustering ⋮ Discriminative Sparse Representations ⋮ Remote sensing image classification using extreme learning machine-guided collaborative coding ⋮ Multiple kernel-based dictionary learning for weakly supervised classification ⋮ Non-linear dictionary learning with partially labeled data ⋮ Manifold regularization based on Nyström type subsampling ⋮ Nonlinear subspace clustering using non-convex Schatten-p norm regularization ⋮ Kernel sparse representation for time series classification ⋮ Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning ⋮ Generalized dictionaries for multiple instance learning ⋮ Single image super-resolution by non-linear sparse representation and support vector regression ⋮ Bayesian hierarchical dictionary learning

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