Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning
From MaRDI portal
Publication:4592318
DOI10.1109/TIP.2014.2322938zbMath1374.68426arXiv1303.0582OpenAlexW3098549467WikidataQ46649214 ScholiaQ46649214MaRDI QIDQ4592318
Andreas S. Spanias, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan
Publication date: 20 November 2017
Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1303.0582
Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)
Related Items (5)
Online multikernel learning based on a triple-norm regularizer for semantic image classification ⋮ Manifold regularization based on Nyström type subsampling ⋮ Flexibly regularized mixture models and application to image segmentation ⋮ A multikernel-like learning algorithm based on data probability distribution ⋮ Robust reservoir rock fracture recognition based on a new sparse feature learning and data training method
This page was built for publication: Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning