A swapping-based refinement of orthogonal matching pursuit strategies
Signal Processing - Sparse approximations in signal and image processing
Texture classification using sparse frame-based representations
EURASIP Journal on Applied Signal Processing
A Fast Fuzzy Neural Modelling Method for Nonlinear Dynamic Systems
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Topology- and error-driven extension of scalar functions from surfaces to volumes
ACM Transactions on Graphics (TOG)
Sparse approximation and the pursuit of meaningful signal models with interference adaptation
IEEE Transactions on Audio, Speech, and Language Processing
Particle swarm optimization aided orthogonal forward regression for unified data modeling
IEEE Transactions on Evolutionary Computation
Probability density estimation with tunable kernels using orthogonal forward regression
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Two-stage extreme learning machine for regression
Neurocomputing
SIAM Journal on Scientific Computing
Real-Time construction of neural networks
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
A two-stage algorithm for identification of nonlinear dynamic systems
Automatica (Journal of IFAC)
Modelling the MAPK signalling pathway using a two-stage identification algorithm
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Surface- and volume-based techniques for shape modeling and analysis
SIGGRAPH Asia 2013 Courses
| Hi-index | 35.69 |
An efficient implementation of the orthogonal least squares algorithm for subset model selection is derived. Computational complexity of the algorithm is examined and the result shows that this new fast orthogonal least squares algorithm significantly reduces computational requirements