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- Multilinear_subspace_learning abstract "Multilinear subspace learning (MSL) aims to learn a specific small part of a large space of multidimensional objects having a particular desired property. It is a dimensionality reduction approach for finding a low-dimensional representation with certain preferred characteristics of high-dimensional tensor data through direct mapping, without going through vectorization. The term tensor in MSL refers to multidimensional arrays. Examples of tensor data include images (2D/3D), video sequences (3D/4D), and hyperspectral cubes (3D/4D). The mapping from a high-dimensional tensor space to a low-dimensional tensor space or vector space is named as multilinear projection.MSL methods are higher-order generalizations of linear subspace learning methods such as principal component analysis (PCA), linear discriminant analysis (LDA) and canonical correlation analysis (CCA). In the literature, MSL is also referred to as tensor subspace learning or tensor subspace analysis. Research on MSL has progressed from heuristic exploration in 2000s (decade) to systematic investigation in 2010s.".
- Multilinear_subspace_learning thumbnail Video_represented_as_a_third-order_tensor.jpg?width=300.
- Multilinear_subspace_learning wikiPageExternalLink TensorToolbox.
- Multilinear_subspace_learning wikiPageExternalLink j.patcog.2011.01.004.
- Multilinear_subspace_learning wikiPageExternalLink icml08_lu_ump.
- Multilinear_subspace_learning wikiPageExternalLink USFGait17_128x88x20.zip.
- Multilinear_subspace_learning wikiPageExternalLink USFGait17_32x22x10.zip.
- Multilinear_subspace_learning wikiPageExternalLink USFGait17_64x44x20.zip.
- Multilinear_subspace_learning wikiPageExternalLink SurveyMSL_PR2011.pdf.
- Multilinear_subspace_learning wikiPageExternalLink 26168.
- Multilinear_subspace_learning wikiPageExternalLink 35432.
- Multilinear_subspace_learning wikiPageExternalLink 35782.
- Multilinear_subspace_learning wikiPageID "30909817".
- Multilinear_subspace_learning wikiPageRevisionID "604224603".
- Multilinear_subspace_learning hasPhotoCollection Multilinear_subspace_learning.
- Multilinear_subspace_learning subject Category:Dimension_reduction.
- Multilinear_subspace_learning subject Category:Machine_learning.
- Multilinear_subspace_learning subject Category:Multilinear_algebra.
- Multilinear_subspace_learning subject Category:Tensors.
- Multilinear_subspace_learning type Abstraction100002137.
- Multilinear_subspace_learning type Cognition100023271.
- Multilinear_subspace_learning type Concept105835747.
- Multilinear_subspace_learning type Content105809192.
- Multilinear_subspace_learning type Idea105833840.
- Multilinear_subspace_learning type PsychologicalFeature100023100.
- Multilinear_subspace_learning type Quantity105855125.
- Multilinear_subspace_learning type Tensor105864481.
- Multilinear_subspace_learning type Tensors.
- Multilinear_subspace_learning type Variable105857459.
- Multilinear_subspace_learning comment "Multilinear subspace learning (MSL) aims to learn a specific small part of a large space of multidimensional objects having a particular desired property. It is a dimensionality reduction approach for finding a low-dimensional representation with certain preferred characteristics of high-dimensional tensor data through direct mapping, without going through vectorization. The term tensor in MSL refers to multidimensional arrays.".
- Multilinear_subspace_learning label "Multilinear subspace learning".
- Multilinear_subspace_learning sameAs m.0gg78_m.
- Multilinear_subspace_learning sameAs Q6934742.
- Multilinear_subspace_learning sameAs Q6934742.
- Multilinear_subspace_learning sameAs Multilinear_subspace_learning.
- Multilinear_subspace_learning wasDerivedFrom Multilinear_subspace_learning?oldid=604224603.
- Multilinear_subspace_learning depiction Video_represented_as_a_third-order_tensor.jpg.
- Multilinear_subspace_learning isPrimaryTopicOf Multilinear_subspace_learning.
