Geometric optimization methods for adaptive filtering

Optimization Criteria and Geometric Algorithms for Motion and Structure Estimation

International Journal of Computer Vision

The Geometry of the Newton Method on Non-Compact Lie Groups

Journal of Global Optimization

Gradient Adaptive Algorithms for Contrast-Based Blind Deconvolution

Journal of VLSI Signal Processing Systems

Contravariant adaptation on structured matrix spaces

Signal Processing

Structure and Motion from Line Segments in Multiple Images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Kantorovich's theorem on Newton's method in Riemannian Manifolds

Journal of Complexity

Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution

Journal of VLSI Signal Processing Systems

Uniqueness of the singular points of vector fields on Riemannian manifolds under the γ-condition

Journal of Complexity

On the Geometry of Rolling and Interpolation Curves on Sn, SOn, and Grassmann Manifolds

Journal of Dynamical and Control Systems

Newton's method for sections on Riemannian manifolds: Generalized covariant α-theory

Journal of Complexity

Natural Conjugate Gradient in Variational Inference

Neural Information Processing

Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds

IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning

Smale's point estimate theory for Newton's method on Lie groups

Journal of Complexity

Conjugate gradient algorithm for optimization under unitary matrix constraint

Signal Processing

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

Neurocomputing

Relations between bundle-adjustment and epipolar-geometry-based approaches, and their applications to efficient structure from motion

Real-Time Imaging

Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds

Information Processing and Management: an International Journal

Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes

The Journal of Machine Learning Research

Projection-like Retractions on Matrix Manifolds

SIAM Journal on Optimization