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Recursive/Iterative Unique Projection-Aggregation Decoding of Reed-Muller Codes [PDF]
, 2023 We describe recursive unique projection-aggregation (RUPA) decoding and iterative unique projection-aggregation (IUPA) decoding of Reed-Muller (RM) codes, which remove non-unique projections from the recursive projection-aggregation (RPA) and iterative ...
Alexios Balatsoukas-Stimming
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Accelerated norm-optimal iterative learning control algorithms using successive projection
International Journal of Control, 2009 This article proposes a novel technique for accelerating the convergence of the previously published norm-optimal iterative learning control (NOILC) methodology. The basis of the results is a formal proof of an observation made by D.H. Owens, namely that
Bing Chu, David H Owens
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Iterative Projection Approximation Algorithms for PCA
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006In this paper we introduce a new error measure, integrated reconstruction error (IRE), the minimization of which leads to principal eigenvectors (without rotational ambiguity) of the data covariance matrix. Then we present iterative algorithms for the IRE minimization, through the projection approximation.
Seungjin Choi +2 more
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An iterative algorithm for the projective registration of free form surfaces
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002In this paper we present a novel image registration algorithm combining the iterative closest point algorithm with focus of expansion theory for 3D-2D projective registration of free-form surfaces. A pure translational camera configuration is used, which is a widely adopted constraint to structural estimation.
Yonghuai Liu, Marcos A. Rodrigues 0001
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Iterative Project Quasi-Newton Algorithm for Training RBM
Proceedings of the AAAI Conference on Artificial Intelligence, 2016The restricted Boltzmann machine (RBM) has been used as building blocks for many successful deep learning models, e.g., deep belief networks (DBN) and deep Boltzmann machine (DBM) etc. The training of RBM can be extremely slow in pathological regions.
Shuai Mi +5 more
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Belief Propagation, Dykstra's Algorithm, and Iterated Information Projections
IEEE Transactions on Information Theory, 2010Belief propagation is shown to be an instance of a hybrid between two projection algorithms in the convex programming literature: Dykstra's algorithm with cyclic Bregman projections and an alternating Bregman projections algorithm. Via this connection, new results concerning the convergence and performance of belief propagation can be proven by ...
John MacLaren Walsh, Phillip A. Regalia
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An iteratively approximated gradient projection algorithm for sparse signal reconstruction
Applied Mathematics and Computation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhongyi Liu, Zhihui Wei, Wenyu Sun
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Sparse Signal Recovery Using Iterative Proximal Projection
IEEE Transactions on Signal Processing, 2018 International audience—This paper is concerned with designing efficient algorithms for recovering sparse signals from noisy underdeter-mined measurements. More precisely, we consider minimization of a non-smooth and non-convex sparsity promoting function
Fateme Ghayem +2 more
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Iterative algorithm for optimal fiducials under weak perspective projection
International Journal of Imaging Systems and Technology, 2009AbstractIn previous work, we designed space fiducials with the aim of making camera pose determination as noise‐insensitive as possible. These fiducials turned out to be sets of points that formed concentric regular polyhedra. Here, we apply an idea of Dementhon and Davis and test and analyze an iterative linear algorithm in conjunction with our ...
Alfred M. Bruckstein +2 more
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Performance evaluation of iterative tomography algorithms for incomplete projection data
Applied Optics, 2004Projection data obtained through optical techniques for tomographic measurements, such as interferometry for refractive-index-based measurements, are often incomplete. This is due to limitations in the optical system, data storage, and alignment and vignette issues.
Debasish, Mishra +3 more
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