Deep learning classification models require large amounts of labeled training data to perform properly, but the production of reference data for most Earth observation applications is a labor intensive, costly process.In that sense, transfer learning is an option to mitigate the demand for labeled data.In many remote sensing applications, however,
Recently, the regularized coding-based classification methods (e.g.SRC and CRC) show a great potential for pattern classification.However, most existing coding methods assume that the representation residuals are uncorrelated.In real-world applications, this assumption does not hold.In this paper, we take account of the correlations of the represen
Abstract Rodents continuously move their heads and whiskers in a coordinated manner while perceiving objects through whisker-touch.Studies in head-fixed rodents showed that the ventroposterior medial (VPM) and posterior medial (POm) thalamic nuclei code for whisker kinematics, with POm involvement reduced in awake animals.To examine VPM and POm inv
Patients with type 1 diabetes must continually decide how much insulin to inject before each meal to maintain blood glucose levels within a healthy range.Recent research has worked on a solution for this burden, showing the potential of reinforcement learning as an emerging approach for the task of g35 coupe fender controlling blood glucose levels.