CVPR 2014 Video Spotlights
TechTalks from event: CVPR 2014 Video Spotlights
Orals 3C : Medical & Biological Image Analysis
-
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity ReconstructionIn this paper, we propose a novel algorithm for structured sparsity reconstruction. This algorithm is based on the iterative reweighted least squares (IRLS) framework, and accelerated by the preconditioned conjugate gradient method. The convergence rate of the proposed algorithm is almost the same as that of the traditional IRLS algorithms, that is, exponentially fast. Moreover, with the devised preconditioner, the computational cost for each iteration is significantly less than that of traditional IRLS algorithms, which makes it feasible for large scale problems. Besides the fast convergence, this algorithm can be flexibly applied to standard sparsity, group sparsity, and overlapping group sparsity problems. Experiments are conducted on a practical application compressive sensing magnetic resonance imaging. Results demonstrate that the proposed algorithm achieves superior performance over 9 state-of-the-art algorithms in terms of both accuracy and computational cost.
- All Sessions
- Orals 1A : Matching & Reconstruction
- Orals 1B : Segmentation & Grouping
- Posters 1A : Recognition, Segmentation, Stereo & SFM
- Orals 1C : Statistical Methods & Learning I
- Orals 1D : Action Recognition
- Posters 1B : 3D Vision, Action Recognition, Recognition, Statistical Methods & Learning
- Orals 2A : Motion & Tracking
- Orals 2B : Discrete Optimization
- Posters 2A : Motion & Tracking, Optimization, Statistical Methods & Learning, Stereo & SFM
- Posters 2B : Face & Gesture, Recognition
- Orals 3A : Physics-Based Vision & Shape-from-X
- Orals 3B : Video: Events, Activities & Surveillance
- Posters 3A : Physics-Based Vision, Recognition, Video: Events, Activities & Surveillance
- Orals 3C : Medical & Biological Image Analysis
- Orals 3D : Low-Level Vision & Image Processing
- Posters 3B : Biologically Inspired Vision, Low-Level Vision, Medical & Biological Image Analysis, Segmentation
- Orals 4A : Computational Photography: Sensing and Display
- Orals 4B : Recognition: Detection, Categorization, Classification
- Posters 4A : Computational Photography, Motion & Tracking, Recognition
- Orals 4C : 3D Geometry & Shape
- Orals 4F : View Synthesis & Other Applications
- Posters 4B : 3D Vision, Document Analysis, Optimization Methods, Shape, Vision for Graphics, Web & Vision Systems
- Orals 2F : Convolutional Neural Networks