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{
"item_title" : "Low-Rank and Sparse Modeling for Visual Analysis",
"item_author" : [" Yun Fu "],
"item_description" : "Nonlinearly Structured Low-Rank Approximation.- Latent Low-Rank Representation.- Scalable Low-Rank Representation.- Low-Rank and Sparse Dictionary Learning.- Low-Rank Transfer Learning.- Sparse Manifold Subspace Learning.- Low Rank Tensor Manifold Learning.- Low-Rank and Sparse Multi-Task Learning.- Low-Rank Outlier Detection.- Low-Rank Online Metric Learning.",
"item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/31/935/567/3319355678_b.jpg",
"price_data" : {
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Overview
Nonlinearly Structured Low-Rank Approximation.- Latent Low-Rank Representation.- Scalable Low-Rank Representation.- Low-Rank and Sparse Dictionary Learning.- Low-Rank Transfer Learning.- Sparse Manifold Subspace Learning.- Low Rank Tensor Manifold Learning.- Low-Rank and Sparse Multi-Task Learning.- Low-Rank Outlier Detection.- Low-Rank Online Metric Learning.
This item is Non-Returnable
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Details
- ISBN-13: 9783319355672
- ISBN-10: 3319355678
- Publisher: Springer
- Publish Date: October 2016
- Dimensions: 9.21 x 6.14 x 0.52 inches
- Shipping Weight: 0.77 pounds
- Page Count: 236
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