IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Line Detection Algorithms Based on Combinatorial Optimization
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Successive Projection Graph Matching
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Biological image restoration in optical-sectioning microscopy using prototype image constraints
Real-Time Imaging - Special issue: Imaging in bioinformatics part II
A POCS-Based Graph Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithm of the radar imaging by using the wideband signals with the distorted signal phases
EURASIP Journal on Applied Signal Processing
An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A Deep Monotone Approximation Operator Based on the Best Quadratic Lower Bound of Convex Functions
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Super-resolution image reconstruction using the generalized isotropic multi-level logistic model
Proceedings of the 2009 ACM symposium on Applied Computing
Iterative compensation schemes for multimedia content authentication
Journal of Visual Communication and Image Representation
IEEE Transactions on Signal Processing
An adaptive projected subgradient approach to learning in diffusion networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Optimal spread spectrum watermark embedding via a multistep feasibility formulation
IEEE Transactions on Image Processing
Compensated Signature Embedding for Multimedia Content Authentication
Journal of Data and Information Quality (JDIQ)
Signal processing in dual domain by adaptive projected subgradient method
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
A smoothness constraint set based on local statistics of BDCT coefficients for image postprocessing
Image and Vision Computing
Adaptive constrained learning in reproducing Kernel Hilbert spaces: the robust beamforming case
IEEE Transactions on Signal Processing
Parametric dictionary design for sparse coding
IEEE Transactions on Signal Processing
A quadratic programming based cluster correspondence projection algorithm for fast point matching
Computer Vision and Image Understanding
Adaptive filter algorithms for accelerated discrete-time consensus
IEEE Transactions on Signal Processing
Distributed multiagent learning with a broadcast adaptive subgradient method
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Theory and Use of the EM Algorithm
Foundations and Trends in Signal Processing
Fixed point optimization algorithm and its application to network bandwidth allocation
Journal of Computational and Applied Mathematics
Computational Optimization and Applications
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Minimum symbol error probability MIMO design under the per-antenna power constraint
Journal of Electrical and Computer Engineering
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From the Publisher:Written by two leading authorities in the field, this self-contained volume provides a tutorial on projection methods and how to apply them in science and engineering. It details effective problem-solving strategies, and explores key applications in communication and signal processing, neural networks and pattern recognition, and optics and image processing. This book reviews the fundamentals of vector space theory, covers principles and applications of vector space projections in general, and projections onto convex sets in particular, provides real-world examples solvable on PCs and modest workstations, features more than 100 illustrations, and includes end-of-chapter exercises and references. This useful reference for practicing engineers, scientists, and educators can also be used for graduate-level study in science, mathematics, and engineering. Portions of the book have been used as material in short courses on applications of vector space projections.