Abstract: The advancements in deep learning, and one of its important applications, are surveillance applications, where a lot of emphasis is placed on the object detection task, where the accuracy ...

parameters and train model. After train how to test model with new inputs (noises) to generate simulated EEG. Furethermore, show some analysis based on uncovered neural states from the model.

Abstract: For hyperspectral subpixel target detection tasks, conventional mixing model (CMM) is one of the most intensively used models. Despite the flexibility of CMM in terms of mixing coefficient, ...

MapAnything is an open-source research framework for universal metric 3D reconstruction. At its core is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...