A game theoretic approach to expander-based compressive sensing

No abstract is available for this paper.

• Publication year

  2011

• Venue

  IEEE International Symposium on Information Theory. Proceedings

• Publication date

  2011-10-03

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1109/ISIT.2011.6034169
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Introductory Lectures on Convex Optimization - A Basic Course

  2014influential reference
• The convex optimization approach to regret minimization

  2011cited by this paper
• Compressive sensing meets game theory

  2011cited by this paper
• Sparse Recovery Using Sparse Matrices

  2010cited by this paper
• Efficient and Robust Compressed Sensing Using Optimized Expander Graphs

  2009cited by this paper
• Sequential Sparse Matching Pursuit

  2009influential reference
• Combining geometry and combinatorics: A unified approach to sparse signal recovery

  2008cited by this paper
• Compressed sensing

  2006cited by this paper
• 11-magic : Recovery of sparse signals via convex programming

  2005cited by this paper
• Stable signal recovery from incomplete and inaccurate measurements

  2005cited by this paper
• Parallel Optimization: Theory, Algorithms and Applications

  2000cited by this paper
• Adaptive game playing using multiplicative weights

  1999cited by this paper
• General Convergence Results for Linear Discriminant Updates

  1997cited by this paper

• Distributed Event-triggered Nash Equilibrium Seeking Algorithm With Quantization Communication

  2025cites this paper
• Distributed Continuous-Time Strategy-Updating Rules for Noncooperative Games With Discrete-Time Communication

  2021cites this paper
• Fast Single-Image Super-Resolution Via Tangent Space Learning of High-Resolution-Patch Manifold

  2017cites this paper
• Key frame extraction scheme based on sliding window and features

  2017cites this paper
• A Key Frame Selection Algorithm Based on Sliding Window and Image Features

  2016cites this paper
• Real-Time Bid Prediction using Thompson Sampling-Based Expert Selection

  2015cites this paper
• Single Image Super Resolution via Manifold Approximation

  2014cites this paper
• Compressive sensing using the modified entropy functional

  2014cites this paper
• Key Frame Extraction from Videos-A Survey

  2013cites this paper
• Key frame extraction from consumer videos using epitome

  2012cites this paper
• Deterministic Compressed Sensing

  2011cites this paper
• Tractable relaxations and efficient algorithmic techniques for large-scale optimization

  2011cites this paper