Multilinear subspace learning is an approach for disentangling the causal factor of data formation and performing dimensionality reduction. The Dimensionality...

sparse, meaning that the mathematical model has many zeros. Multilinear subspace learning algorithms aim to learn low-dimensional representations directly...

representation can be used in dimensionality reduction through multilinear subspace learning. The main linear technique for dimensionality reduction, principal...

tensor Glossary of tensor theory Metric tensor Bra–ket notation Multilinear subspace learning Multivector Geometric algebra Clifford algebra Closed and exact...

Tensor (multilinear) factor analysis disentangles and reduces the influence of different causal factors with multilinear subspace learning. When treating...

subspace Invariant subspace Multilinear subspace learning Quotient space (linear algebra) Signal subspace Subspace topology The term linear subspace is...

mixture of experts Bayesian networks Markov random fields Unsupervised: Multilinear principal component analysis (MPCA) Kalman filters Particle filters Gaussian...

tensor MRI Einstein field equations Fluid mechanics Gravity Multilinear subspace learning Riemannian geometry Structure tensor Tensor Contraction Engine...

Learning automata Learning classifier systems Learning vector quantization Minimum message length (decision trees, decision graphs, etc.) Multilinear...

associated with a positive definite kernel. In multilinear subspace learning, PCA is generalized to multilinear PCA (MPCA) that extracts features directly...

big data include efficient tensor-based computation, such as multilinear subspace learning, massively parallel-processing (MPP) databases, search-based...

Multi-task learning Multilinear subspace learning Multimodal learning Multiple instance learning Multiple-instance learning Never-Ending Language Learning Offline...

using the Fisherface algorithm, the hidden Markov model, the multilinear subspace learning using tensor representation, and the neuronal motivated dynamic...

Factor analysis Genetic algorithms Intention mining Learning classifier system Multilinear subspace learning Neural networks Regression analysis Sequence mining...

Grand Tour Linear least squares Model order reduction Multilinear PCA Multilinear subspace learning Principal component analysis Singular value decomposition...

trick for more information). Blind signal separation Multilinear PCA Multilinear subspace learning Nonlinear dimensionality reduction Orthogonal matrix...

multilinear algebra and structured data fusion. Tensor Toolbox Multilinear algebra MATLAB software. MPCA and MPCA+LDA Multilinear subspace learning software:...

transforms Geohash – Public domain geocoding invented in 2008 Multilinear subspace learning – Approach to dimensionality reduction Principal component analysis –...

vocabulary in the corresponding topic. Latent class analysis Multilinear subspace learning Singular value decomposition Tucker decomposition Higher-order...

analysis Linear discriminant analysis Curse of dimensionality Multilinear subspace learning Cook & Adragni (2009) Sufficient Dimension Reduction and Prediction...

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Recently, this problem has been answered negatively. Multilinear algebra Multilinear subspace learning Tensor Tensor decomposition Tensor software Dhillon...

Berlin, 2002, 447–460. M.A.O. Vasilescu, D. Terzopoulos (2003) "Multilinear Subspace Analysis for Image Ensembles, M. A. O. Vasilescu, D. Terzopoulos...

Abnormality Rating Scale Gait deviations Multilinear principal component analysis Multilinear subspace learning Pattern recognition Terrestrial locomotion...

if and only if all its coefficients are zero. Linear subspace A linear subspace or vector subspace W of a vector space V is a non-empty subset of V that...

In multilinear algebra, the higher-order singular value decomposition (HOSVD) of a tensor is a specific orthogonal Tucker decomposition. It may be regarded...

product of modules Tensor product of fields Linearly disjoint Multilinear subspace learning Kassel (1995), p. 32. Lang 2002, pp. 629–630. Kassel (1995)...

Stephen Maybank, with a thesis titled Discriminative linear and multilinear subspace methods. He was named a Fellow of the Institute of Electrical and...

electronic tongue illustrates relevant multiway processing. Multilinear subspace learning Coppi, R.; Bolasco, S., eds. (1989). Multiway Data Analysis...

learning Multilinear subspace learning McKinney, Brett A.; Reif, David M.; Ritchie, Marylyn D.; Moore, Jason H. (1 January 2006). "Machine learning for...