Bi-Sparse Unsupervised Feature Selection | Paper Citation Record

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This paper cites Machine learning: Trends, perspec- tives, and prospects,.

Bi-Sparse Unsupervised Feature Selection Machine learning: Trends, perspec- tives, and prospects,

Reference 1

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This paper cites A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction,.

Bi-Sparse Unsupervised Feature Selection A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction,

Reference 2

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This paper cites Feature selection in image anal- ysis: a survey,.

Bi-Sparse Unsupervised Feature Selection Feature selection in image anal- ysis: a survey,

Reference 3

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This paper cites Unsupervised feature selection via nonnegative spectral analysis and redundancy control,.

Bi-Sparse Unsupervised Feature Selection Unsupervised feature selection via nonnegative spectral analysis and redundancy control,

Reference 4

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This paper cites Bi-level spectral feature selection,.

Bi-Sparse Unsupervised Feature Selection Bi-level spectral feature selection,

Reference 5

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Observation b2c27034-28ae-4831-811a-6258e8e6ddd4 · outbound

This paper cites Supervised, unsupervised, and semi-supervised feature selection: A review on gene selection,.

Bi-Sparse Unsupervised Feature Selection Supervised, unsupervised, and semi-supervised feature selection: A review on gene selection,

Reference 6

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Observation 09a8ce4d-cb71-44bf-85dd-178334a6dc98 · outbound

This paper cites Unsupervised feature selection algorithm for multiclass cancer classification of gene expression RNA-Seq data,.

Bi-Sparse Unsupervised Feature Selection Unsupervised feature selection algorithm for multiclass cancer classification of gene expression RNA-Seq data,

Reference 7

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This paper cites A review of machine learning methods of feature selection and classification for autism spectrum disorder,.

Bi-Sparse Unsupervised Feature Selection A review of machine learning methods of feature selection and classification for autism spectrum disorder,

Reference 8

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Observation df57e691-98e8-453e-9229-ffe3abfcbc31 · outbound

This paper cites Feature selection in machine learning: A new perspective,.

Bi-Sparse Unsupervised Feature Selection Feature selection in machine learning: A new perspective,

Reference 9

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Observation 49fff592-11f2-4804-9997-061d5977a717 · outbound

This paper cites Feature selection for unsupervised learning,.

Bi-Sparse Unsupervised Feature Selection Feature selection for unsupervised learning,

Reference 10

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Observation 9ee61838-e3ff-41a6-bdd7-be21784a81f6 · outbound

This paper cites Unsupervised feature learning with emergent data-driven prototypicality,.

Bi-Sparse Unsupervised Feature Selection Unsupervised feature learning with emergent data-driven prototypicality,

Reference 11

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Observation 66d8c7bb-9ea8-4f4e-89e1-77470a61eadd · outbound

This paper cites A review of unsupervised feature selection methods,.

Bi-Sparse Unsupervised Feature Selection A review of unsupervised feature selection methods,

Reference 12

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This paper cites Unsupervised discriminative feature selection via contrastive graph learning,.

Bi-Sparse Unsupervised Feature Selection Unsupervised discriminative feature selection via contrastive graph learning,

Reference 13

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Observation 9bdea0f0-58e0-45df-94f2-16d7013870bf · outbound

This paper cites Unsupervised adaptive feature selection with binary hashing,.

Bi-Sparse Unsupervised Feature Selection Unsupervised adaptive feature selection with binary hashing,

Reference 14

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Observation dd42d7b6-4fbb-4175-896a-054120d0e3e9 · outbound

This paper cites Feature selection: A data perspective,.

Bi-Sparse Unsupervised Feature Selection Feature selection: A data perspective,

Reference 15

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This paper cites Laplacian score for feature selection,.

Bi-Sparse Unsupervised Feature Selection Laplacian score for feature selection,

Reference 16

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Observation 32da9a2e-d169-4687-8178-ceba55572e69 · outbound

This paper cites Unsupervised feature selection for multi- cluster data,.

Bi-Sparse Unsupervised Feature Selection Unsupervised feature selection for multi- cluster data,

Reference 17

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This paper cites ℓ2,1-norm regularized discriminative feature selection for unsupervised learning,.

Bi-Sparse Unsupervised Feature Selection ℓ2,1-norm regularized discriminative feature selection for unsupervised learning,

Reference 18

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Observation d1d1a16d-2117-4924-81fb-59957ca56f04 · outbound

This paper cites Unsupervised feature selection with structured graph optimization,.

Bi-Sparse Unsupervised Feature Selection Unsupervised feature selection with structured graph optimization,

Reference 19

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Observation 8377eeab-4e60-4ac9-9a76-9ae7f21fd4c7 · outbound

This paper cites Robust neighborhood em- bedding for unsupervised feature selection,.

Bi-Sparse Unsupervised Feature Selection Robust neighborhood em- bedding for unsupervised feature selection,

Reference 20

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This paper cites Precise feature selection via non- convex regularized graph embedding and self-representation for unsuper- vised learning,.

Bi-Sparse Unsupervised Feature Selection Precise feature selection via non- convex regularized graph embedding and self-representation for unsuper- vised learning,

Reference 21

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This paper cites Principal component analysis,.

Bi-Sparse Unsupervised Feature Selection Principal component analysis,

Reference 22

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Observation 61acaec7-422f-43d9-a1f7-2ea2200b53a1 · outbound

This paper cites A selective overview of sparse principal component analysis,.

Bi-Sparse Unsupervised Feature Selection A selective overview of sparse principal component analysis,

Reference 23

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Observation 0ef73b88-7a57-47a4-a9da-53548d74cdb3 · outbound

This paper cites Sparse PCA via ℓ2,p-norm regularization for unsupervised feature selection,.

Bi-Sparse Unsupervised Feature Selection Sparse PCA via ℓ2,p-norm regularization for unsupervised feature selection,

Reference 24

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This paper cites A comprehensive survey on regularization strategies in machine learning,.

Bi-Sparse Unsupervised Feature Selection A comprehensive survey on regularization strategies in machine learning,

Reference 25

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Observation 6b5c1e60-84da-4346-a1a1-7b1108f1c9c5 · outbound

This paper cites Learning feature-sparse principal subspace,.

Bi-Sparse Unsupervised Feature Selection Learning feature-sparse principal subspace,

Reference 26

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This paper cites Struc- tured sparsity optimization with non-convex surrogates of ℓ2,0-norm: A unified algorithmic framework,.

Bi-Sparse Unsupervised Feature Selection Struc- tured sparsity optimization with non-convex surrogates of ℓ2,0-norm: A unified algorithmic framework,

Reference 27

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Observation 00b908f0-4f37-42bb-8d96-57a6862a15a3 · outbound

This paper cites Fast Sparse PCA via Positive Semidefinite Projection for Unsupervised Feature Selection.

Bi-Sparse Unsupervised Feature Selection Fast Sparse PCA via Positive Semidefinite Projection for Unsupervised Feature Selection

Reference 28

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This paper cites Prin- cipal component analysis with fuzzy elastic net for feature selection,.

Bi-Sparse Unsupervised Feature Selection Prin- cipal component analysis with fuzzy elastic net for feature selection,

Reference 29

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Observation aa77b850-1f9a-4c82-bd11-354b120f9d86 · outbound

This paper cites Group sparse optimization via ℓp,q regularization,.

Bi-Sparse Unsupervised Feature Selection Group sparse optimization via ℓp,q regularization,

Reference 30

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Observation dbd39699-3e42-4637-9edd-6c64a2f15dd2 · outbound

This paper cites Double sparse- representation feature selection algorithm for classification,.

Bi-Sparse Unsupervised Feature Selection Double sparse- representation feature selection algorithm for classification,

Reference 31

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Observation 79ef546e-1e76-4efe-adc4-f49822f4d664 · outbound

This paper cites Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning,.

Bi-Sparse Unsupervised Feature Selection Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning,

Reference 32

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This paper cites Multi-view clustering and feature learning via structured sparsity,.

Bi-Sparse Unsupervised Feature Selection Multi-view clustering and feature learning via structured sparsity,

Reference 33

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This paper cites Double sparsity: Learning sparse dictionaries for sparse signal approximation,.

Bi-Sparse Unsupervised Feature Selection Double sparsity: Learning sparse dictionaries for sparse signal approximation,

Reference 34

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Observation 82c25713-11a5-4892-a436-df8926ecc0d6 · outbound

This paper cites Double-sparsity recovery for adc- distorted compressive sensing,.

Bi-Sparse Unsupervised Feature Selection Double-sparsity recovery for adc- distorted compressive sensing,

Reference 35

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Observation 56fbe1eb-670e-4ce8-b0df-4a13b57fb2e1 · outbound

This paper cites DSTPCA: Double-sparse constrained tensor principal component analysis method for feature selection,.

Bi-Sparse Unsupervised Feature Selection DSTPCA: Double-sparse constrained tensor principal component analysis method for feature selection,

Reference 36

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This paper cites Micro-doppler effects removed sparse aperture isar imaging via low-rank and double sparsity constrained ADMM and linearized ADMM,.

Bi-Sparse Unsupervised Feature Selection Micro-doppler effects removed sparse aperture isar imaging via low-rank and double sparsity constrained ADMM and linearized ADMM,

Reference 37

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This paper cites Clustering-guided sparse structural learning for unsupervised feature selection,.

Bi-Sparse Unsupervised Feature Selection Clustering-guided sparse structural learning for unsupervised feature selection,

Reference 38

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This paper cites Non-convex optimization for machine learning,.

Bi-Sparse Unsupervised Feature Selection Non-convex optimization for machine learning,

Reference 39

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Observation 668d80f3-1b82-4b6d-a0fe-e0b3b068003c · outbound

This paper cites Sparse SVM for sufficient data reduction,.

Bi-Sparse Unsupervised Feature Selection Sparse SVM for sufficient data reduction,

Reference 40

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This paper cites A new insight on augmented lagrangian method with applications in machine learning,.

Bi-Sparse Unsupervised Feature Selection A new insight on augmented lagrangian method with applications in machine learning,

Reference 41

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This paper cites Absil, R.

Bi-Sparse Unsupervised Feature Selection Absil, R

Reference 42

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This paper cites Revisiting $L_q(0\leq q<1)$ Norm Regularized Optimization.

Bi-Sparse Unsupervised Feature Selection Revisiting $L_q(0\leq q<1)$ Norm Regularized Optimization

Reference 43

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This paper cites Beck, First-order Methods in Optimization.

Bi-Sparse Unsupervised Feature Selection Beck, First-order Methods in Optimization

Reference 44

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This paper cites L1/2 regularization: A thresholding representation theory and a fast solver,.

Bi-Sparse Unsupervised Feature Selection L1/2 regularization: A thresholding representation theory and a fast solver,

Reference 45

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Observation f4cee5cf-bf52-482f-b7c4-6e836653b526 · outbound

This paper cites Fast image deconvolution using closed- form thresholding formulas of Lq (q = 1 2 , 2 3 ) regularization,.

Bi-Sparse Unsupervised Feature Selection Fast image deconvolution using closed- form thresholding formulas of Lq (q = 1 2 , 2 3 ) regularization,

Reference 46

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This paper cites Efficient and robust sparse linear discriminant analysis for data classification,.

Bi-Sparse Unsupervised Feature Selection Efficient and robust sparse linear discriminant analysis for data classification,

Reference 47

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Observation 311569b2-f3b1-437d-a4f7-4eaff2b2186d · outbound

This paper cites Proximal alternating linearized minimization for nonconvex and nonsmooth problems,.

Bi-Sparse Unsupervised Feature Selection Proximal alternating linearized minimization for nonconvex and nonsmooth problems,

Reference 48

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Observation 1f9f083b-7c0e-4d88-b3d7-4dbaf5f60791 · outbound

This paper cites Learning feature sparse principal subspace,.

Bi-Sparse Unsupervised Feature Selection Learning feature sparse principal subspace,

Reference 49

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Observation 7cc46734-1b49-4e54-845d-d158dad97714 · outbound

This paper cites Orientation-Aware Sparse Tensor PCA for Efficient Unsupervised Feature Selection.

Bi-Sparse Unsupervised Feature Selection Orientation-Aware Sparse Tensor PCA for Efficient Unsupervised Feature Selection

Reference 50

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This paper cites Subspace Newton method for sparse group ℓ0 optimization problem,.

Bi-Sparse Unsupervised Feature Selection Subspace Newton method for sparse group ℓ0 optimization problem,

Reference 51

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Observation 53044df1-42ed-45ed-9946-a77d73f35253 · outbound

This paper cites Physics-inspired com- pressive sensing: Beyond deep unrolling,.

Bi-Sparse Unsupervised Feature Selection Physics-inspired com- pressive sensing: Beyond deep unrolling,

Reference 52

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