University of Illinois Urbana-Champaign

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Showing 1–30 of 30 items
Thumbnail for Algorithmic Linear Dimension Reduction in the l1 Norm for Sparse Vectors
Algorithmic Linear Dimension Reduction in the l1 Norm for Sparse Vectors
Gilbert, A.C.; Strauss, M.J.; Tropp, J.A.; Vershynin, R.

Thumbnail for The Study of Efficient Sparse Signal Reconstruction Algorithms for Compressive Sensing and the Application for Magnetic Resonance Imaging
The Study of Efficient Sparse Signal Reconstruction Algorithms for Compressive Sensing and the Application for Magnetic Resonance Imaging
Gunawan, Aldi Indra; Lee, Kiryung

Thumbnail for Exploiting sparsity for machine learning in big data
Exploiting sparsity for machine learning in big data
Zhu, Rongda

Thumbnail for Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit
Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit
Ganesh, Arvind; Wright, John; Li, Xiaodong; Candes, Emmanuel J.; Ma, Yi

Thumbnail for Information-theoretic limitations of distributed information processing
Information-theoretic limitations of distributed information processing
Xu, Aolin

Thumbnail for Error Correction for High-Dimensional Data via Convex Programming
Error Correction for High-Dimensional Data via Convex Programming
Wright, John N.

Thumbnail for Recognition via Sparse Representation: Robustness, Occlusion, and Feature Selection
Recognition via Sparse Representation: Robustness, Occlusion, and Feature Selection
Wright, John; Yang, Allen; Ganesh, Arvind; Ma, Yi

Thumbnail for Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
Wright, John; Ganesh, Arvind; Rao, Shankar; Ma, Yi

Thumbnail for Applications of low-rank matrix recovery methods in computer vision
Applications of low-rank matrix recovery methods in computer vision
Balasubramanian, Arvind

Thumbnail for Efficient and guaranteed algorithms for sparse inverse problems
Efficient and guaranteed algorithms for sparse inverse problems
Lee, Kiryung

Thumbnail for Information-theoretic bounds in learning algorithms
Information-theoretic bounds in learning algorithms
Bu, Yuheng

Thumbnail for Search and optimization with randomness in computational economics: equilibria, pricing, and decisions
Search and optimization with randomness in computational economics: equilibria, pricing, and decisions
Boodaghians, Shant

Thumbnail for Robust and reliable decision-making systems and algorithms
Robust and reliable decision-making systems and algorithms
Donmez, Mehmet Ali

Thumbnail for Statistical methods for binomial and Gaussian sequences
Statistical methods for binomial and Gaussian sequences
Biscarri, William

Thumbnail for Harnessing Sparse and Low-Dimensional Structures for Robust Clustering of Imagery Data
Harnessing Sparse and Low-Dimensional Structures for Robust Clustering of Imagery Data
Rao, Shankar Ramamohan

Thumbnail for Statistical inference in networks: fundamental limits and efficient algorithms
Statistical inference in networks: fundamental limits and efficient algorithms
Xu, Jiaming

Thumbnail for Approximate likelihood for dependent networks and hyperlink predictions
Approximate likelihood for dependent networks and hyperlink predictions
Yuan, Yubai

Thumbnail for Poincar�� inequalities in noncommutative Lp spaces
Poincar�� inequalities in noncommutative Lp spaces
Zeng, Qiang

Thumbnail for Measurement-based tools for power system monitoring and operations
Measurement-based tools for power system monitoring and operations
Chen, Yu

Thumbnail for Task-specific and interpretable feature learning
Task-specific and interpretable feature learning
Wang, Zhangyang

Thumbnail for Low-rank estimation and embedding learning: theory and applications
Low-rank estimation and embedding learning: theory and applications
Gui, Huan

Thumbnail for Statistical analysis of networks with community structure and bootstrap methods for big data
Statistical analysis of networks with community structure and bootstrap methods for big data
Sengupta, Srijan

Thumbnail for Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery
Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery
Li, Yanjun

Thumbnail for Parameterized sequential decision making problems
Parameterized sequential decision making problems
Srivastava, Amber

Thumbnail for Defending distributed systems against adversarial attacks: consensus, consensus-based learning, and statistical learning
Defending distributed systems against adversarial attacks: consensus, consensus-based learning, and statistical learning
Su, Lili

Thumbnail for High-dimensional change point detection for mean and location parameters
High-dimensional change point detection for mean and location parameters
Yu, Mengjia

Thumbnail for Analyzing intentions from big data traces of human activities
Analyzing intentions from big data traces of human activities
Zhang, Aston

Thumbnail for Constrained imaging: denoising and sparse sampling
Constrained imaging: denoising and sparse sampling
Haldar, Justin P.

Thumbnail for Computational Experience with Linear Optimization and Related Problems
Computational Experience with Linear Optimization and Related Problems
Elble, Joseph M.

Thumbnail for Social computation: Fundamental limits and efficient algorithms
Social computation: Fundamental limits and efficient algorithms
Khetan, Ashish Kumar