Leveraging high-order integrators and a memory-efficient adjoint method for backpropagation, this library is particularly well-suited for problems in physics, control theory, and for implementing ...
The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...
Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...
Objective Lupus nephritis (LN) is a prevalent renal manifestation in patients with SLE, with kidney biopsy remaining the gold ...
Abstract: We present an optimization-based method for the joint estimation of system parameters and noise covariances of linear time-variant systems. Given measured data, this method maximizes the ...
Abstract: This letter presents a novel coordinate-wise event-triggered control mechanism for stabilizing and ensuring positivity of continuous-time linear systems with time delay. By explicitly ...