Sparse large-margin nearest neighbor embedding via greedy dyad functional optimization
Sign Up to like & getrecommendations! Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01472-x
Abstract: We consider the sparse subspace learning problem where the intrinsic subspace is assumed to be low-dimensional and formed by sparse basis vectors. Confined to a few sparse bases, projecting data to the learned subspace essentially… read more here.
Keywords: large margin; sparse; subspace; functional optimization ... See more keywords
Comparison of Hip and Lumbopelvic Performance Between Chronic Low Back Pain Patients Suited for the Functional Optimization Approach and Healthy Controls.
Sign Up to like & getrecommendations! Published in 2019 at "Spine"
DOI: 10.1097/brs.0000000000003198
Abstract: STUDY DESIGN Cross-sectional study. OBJECTIVE We explored the differences between chronic low back pain (CLBP) patients suited for the functional optimization approach and healthy controls in isometric hip-strength and lumbar-endurance tests and determined classificatory cutoff… read more here.
Keywords: healthy controls; optimization approach; suited functional; clbp patients ... See more keywords