Manolis C. Tsakiris

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Assistant Professor at ShanghaiTech University

Homomorphic Sensing of Subspace Arrangements

Homomorphic sensing is a recent algebraic-geometric framework that studi...
06/09/2020 ∙ by Liangzu Peng, et al. ∙ 0 ∙ share

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An exposition to the finiteness of fibers in matrix completion via Plücker coordinates

Matrix completion is a popular paradigm in machine learning and data sci...
04/26/2020 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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Linear Regression without Correspondences via Concave Minimization

Linear regression without correspondences concerns the recovery of a sig...
03/17/2020 ∙ by Liangzu Peng, et al. ∙ 0 ∙ share

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Finiteness of fibers in matrix completion via Plücker coordinates

Let Ω⊆{1,...,m}×{1,...,n}. We consider fibers of coordinate projections ...
02/12/2020 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications

The problem of finding the sparsest vector (direction) in a low dimensio...
01/20/2020 ∙ by Qing Qu, et al. ∙ 46 ∙ share

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Homomorphic Sensing

A recent line of research termed unlabeled sensing and shuffled linear r...
01/23/2019 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms

Recent methods for learning a linear subspace from data corrupted by out...
12/24/2018 ∙ by Zhihui Zhu, et al. ∙ 6 ∙ share

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Eigenspace conditions for homomorphic sensing

Given two endomorphisms τ_1,τ_2 of C^m with m > 2n and a general n-dimen...
12/05/2018 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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An Algebraic-Geometric Approach to Shuffled Linear Regression

Shuffled linear regression is the problem of performing a linear regress...
10/12/2018 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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Theoretical Analysis of Sparse Subspace Clustering with Missing Entries

Sparse Subspace Clustering (SSC) is a popular unsupervised machine learn...
01/01/2018 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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Hyperplane Clustering Via Dual Principal Component Pursuit

We extend the theoretical analysis of a recently proposed single subspac...
06/06/2017 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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Filtrated Spectral Algebraic Subspace Clustering

Algebraic Subspace Clustering (ASC) is a simple and elegant method based...
10/15/2015 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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Dual Principal Component Pursuit

We consider the problem of outlier rejection in single subspace learning...
10/15/2015 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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Filtrated Algebraic Subspace Clustering

Subspace clustering is the problem of clustering data that lie close to ...
06/20/2015 ∙ by Manolis C. Tsakiris, et al. ∙ 0 ∙ share

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Manolis C. Tsakiris

Featured Co-authors

Rene Vidal

Xiao Li

Yuanming Shi

John Wright

Zhihui Zhu

Yifan Wang

Daniel P. Robinson

Qing Qu

Laurent Kneip

Liangzu Peng

Daniel Q. Naiman

Homomorphic Sensing of Subspace Arrangements

An exposition to the finiteness of fibers in matrix completion via Plücker coordinates

Linear Regression without Correspondences via Concave Minimization

Finiteness of fibers in matrix completion via Plücker coordinates

Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications

Homomorphic Sensing

Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms

Eigenspace conditions for homomorphic sensing

An Algebraic-Geometric Approach to Shuffled Linear Regression

Theoretical Analysis of Sparse Subspace Clustering with Missing Entries

Hyperplane Clustering Via Dual Principal Component Pursuit

Filtrated Spectral Algebraic Subspace Clustering

Dual Principal Component Pursuit

Filtrated Algebraic Subspace Clustering