Karin Schnass

Q: What Schools Are Affiliated With Karin Schnass

Karin Schnass is affiliated with the following schools: University of Innsbruck, École Polytechnique Fédérale de Lausanne, University of Vienna

Karin Schnass's AcademicInfluence.com Rankings

Karin Schnass

Mathematics

#6458

World Rank

#8935

Historical Rank

Group Theory

#473

World Rank

#548

Historical Rank

Algebra

#767

World Rank

#999

Historical Rank

Measure Theory

#4973

World Rank

#5854

Historical Rank

mathematics Degrees

Karin Schnass

Computer Science

#10977

World Rank

#11580

Historical Rank

Theoretical Computer Science

#151

World Rank

#151

Historical Rank

computer-science Degrees

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Mathematics
Computer Science

Karin Schnass's Degrees

PhD Mathematics University of Vienna

Why Is Karin Schnass Influential?

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According to Wikipedia, Karin Schnass is an Austrian mathematician and computer scientist known for her research on sparse dictionary learning. She is a professor of mathematics at the University of Innsbruck. Education and career Schnass was born in Klosterneuburg. She earned a master's degree in mathematics at the University of Vienna in 2004, with a thesis surveying Gabor multipliers supervised by Hans Georg Feichtinger. She completed her Ph.D. in communication and information sciences at the École Polytechnique Fédérale de Lausanne in 2009. Her dissertation was Sparsity & Dictionaries – Algorithms & Design, and her doctoral advisor was Pierre Vandergheynst.

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Karin Schnass's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Compressed Sensing and Redundant Dictionaries (2007) (573)
Atoms of All Channels, Unite! Average Case Analysis of Multi-Channel Sparse Recovery Using Greedy Algorithms (2008) (206)
Dictionary Identification—Sparse Matrix-Factorization via $\ell_1$ -Minimization (2009) (140)
Dictionary Preconditioning for Greedy Algorithms (2008) (131)
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions (2010) (95)
Average Performance Analysis for Thresholding (2007) (70)
On the Identifiability of Overcomplete Dictionaries via the Minimisation Principle Underlying K-SVD (2013) (68)
Local identification of overcomplete dictionaries (2014) (44)
Convergence radius and sample complexity of ITKM algorithms for dictionary learning (2015) (40)
Average Case Analysis of Multichannel Thresholding (2007) (26)
Dictionary identifiability from few training samples (2008) (24)
Dictionary Identification - Sparse Matrix-Factorisation via ℓ _ 1 -Minimisation (2020) (23)
Average Performance of Orthogonal Matching Pursuit (OMP) for Sparse Approximation (2018) (20)
Some recovery conditions for basis learning by L1-minimization (2008) (19)
Compressed learning of high-dimensional sparse functions (2011) (15)
Fast dictionary learning from incomplete data (2017) (11)
A Personal Introduction to Theoretical Dictionary Learning (2015) (10)
Dictionary learning from incomplete data for efficient image restoration (2017) (8)
A union of incoherent spaces model for classification (2010) (7)
Dictionary learning - from local towards global and adaptive (2018) (7)
Dictionary Learning from Incomplete Data (2017) (5)
Dictionary learning based dimensionality reduction for classification (2008) (5)
Submatrices with NonUniformly Selected Random Supports and Insights into Sparse Approximation (2020) (5)
Basis Identification from Random Sparse Samples (2009) (5)
Online and Stable Learning of Analysis Operators (2017) (4)
Gabor Multipliers A Self-Contained Survey (2004) (4)
Average Performance of OMP and Thresholding Under Dictionary Mismatch (2022) (3)
Compressed Dictionary Learning (2018) (3)
Classification via Incoherent Subspaces (2010) (3)
Distributed Sensing of Noisy Signals by Thresholding of Redundant Expansions (2006) (2)
Average case analysis of multichannel sparse approximations using p-thresholding (2007) (2)
Corrections to "Average Performance of Orthogonal Matching Pursuit (OMP) for Sparse Approximation" (2019) (1)
Multichannel Thresholding with Sensing Dictionaries (2007) (1)
Non-asymptotic bounds for inclusion probabilities in rejective sampling (2022) (1)
Sparsity & [and] dictionaries - algorithms & [and] design (2009) (0)
Average case analysis of multichannel sparse approximations using p-thresholding - art. no. 67011X (2007) (0)
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions (2012) (0)
Rejecta Mathematica Vol. 2, No. 1 (2011) (0)
Sparsity & Dictionaries - Algorithms & Design (2009) (0)
Fast dictionary learning from incomplete data (2018) (0)
A good reason for using OMP: average case results (2019) (0)
Dictionary Identiﬁcation Results for K-SVD with Sparsity Parameter 1 (2013) (0)
Convergence of alternating minimisation algorithms for dictionary learning (2023) (0)
Dictionary Identiﬁcation Sparse Matrix-Factorisation via (cid:96) 1 -Minimisation (2011) (0)
Compressed Dictionary Learning (2020) (0)
Relaxed contractivity conditions for dictionary learning via Iterative Thresholding and K residual Means (2019) (0)
Sequential Learning of Analysis Operators (2017) (0)

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What Schools Are Affiliated With Karin Schnass?

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Karin Schnass's Degrees

Why Is Karin Schnass Influential?

Karin Schnass's Published Works

Published Works

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What Schools Are Affiliated With Karin Schnass?

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Karin Schnass's AcademicInfluence.com Rankings