Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Hayden, David"'
Autor:
Hayden, David S.
Scientific analysis of motion and social interaction can identify animal models of human disease by relating genetics or neural activity to behavior. However, experiments are often limited in scope because they require vast quantities of expert annot
Externí odkaz:
https://hdl.handle.net/1721.1/138961
Robust data association is critical for analysis of long-term motion trajectories in complex scenes. In its absence, trajectory precision suffers due to periods of kinematic ambiguity degrading the quality of follow-on analysis. Common optimization-b
Externí odkaz:
http://arxiv.org/abs/2011.07101
Autor:
Hayden, David
Publikováno v:
The Georgia Review, 2020 Oct 01. 74(3), 586-589.
Externí odkaz:
https://www.jstor.org/stable/26933932
Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
41
Cataloged from PDF version of thesis.
Includes bibliographical references (pag
41
Cataloged from PDF version of thesis.
Includes bibliographical references (pag
Externí odkaz:
http://hdl.handle.net/1721.1/91089
The problem of identifying sparse solutions for the link structure and dynamics of an unknown linear, time-invariant network is posed as finding sparse solutions x to Ax=b. If the sensing matrix A satisfies a rank condition, this problem has a unique
Externí odkaz:
http://arxiv.org/abs/1411.4095
Autor:
HAYDEN, DAVID
Publikováno v:
Agni, 2019 Jan 01(89), 210-212.
Externí odkaz:
https://www.jstor.org/stable/45119726
This paper considers the problem of inferring an unknown network of dynamical systems driven by unknown, intrinsic, noise inputs. Equivalently we seek to identify direct causal dependencies among manifest variables only from observations of these var
Externí odkaz:
http://arxiv.org/abs/1310.0375