Results 211 to 220 of about 18,794 (253)

Review of Recent Advances in Implantable Brain-Computer Interfaces for the Restoration of Motor Function in Patients With Paralysis. [PDF]

Med Sci Monit
Yang D, Liu X, Hu J, Zhang W.
europepmc   +1 more source

Topological signatures differentiating episodic and chronic phenotypes in migraine without aura: a multi-scale analysis revealing divergent network profiles. [PDF]

J Headache Pain
Lin C, Dai C, Hu Y, Zhang X, Tao Z, Liu X, Li X, Xu T, Ye M, Cao Y, Chen K, Liu K, Liu X, Fu F, Li Y.   +14 more
europepmc   +1 more source

Neural manifolds that orchestrate walking and stopping

Komi S, Kaur J, Winther A, Bonfils MCA, Houser GA, Sørensen R, Li G, Sobriel K, Berg RW.   +8 more
europepmc   +1 more source

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Unsupervised Image Matching Based on Manifold Alignment

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
This paper challenges the issue of automatic matching between two image sets with similar intrinsic structures and different appearances, especially when there is no prior correspondence. An unsupervised manifold alignment framework is proposed to establish correspondence between data sets by a mapping function in the mutual embedding space.
Yuru Pei, Hongbin Zha
exaly   +3 more sources

Multi-view manifold learning with locality alignment

Pattern Recognition, 2018
Abstract Manifold learning aims to discover the low dimensional space where the input high dimensional data are embedded by preserving the geometric structure. Unfortunately, almost all the existing manifold learning methods were proposed under single view scenario, and they cannot be straightforwardly applied to multiple feature sets.
Xinge You, Shujian Yu, Chang Xu
exaly   +2 more sources

Semi-supervised manifold alignment with few correspondences

Neurocomputing, 2017
In recent years, manifold alignment methods have aroused a great of interest in the machine learning community which construct a common latent space shared by multiple input data sets. In a semi-supervised problem, it is assumed that some predetermined correspondences are available to us.
Jing Wang
exaly   +2 more sources

Extending generalized unsupervised manifold alignment

Science China Information Sciences, 2022
Xiaoyi Yin, Zhen Cui, Hong Chang
exaly   +2 more sources

Feature matching based on unsupervised manifold alignment

Machine Vision and Applications, 2013
Feature-based methods for image registration frequently encounter the correspondence problem. In this paper, we formulate feature-based image registration as a manifold alignment problem, and present a novel matching method for finding the correspondences among different images containing the same object.
Weidong Yan, Lulu Pan, Tian Zheng
exaly   +2 more sources