Abstract: Subsampled blind deconvolution is the recovery of two unknown signals from samples of their convolution. To overcome the ill-posedness of this problem, solutions based on priors tailored to ...

Abstract: Due to the complex sea clutter environment and target features, the conventional statistical theory-based methods cannot achieve high performance in maritime target detection tasks.

Deconvolution as a research area focuses on developing and analyzing mathematical and computational methods to invert convolution operations, typically to recover latent signals, images, or ...

We get creative with an effects chain inspired by Jon Hopkins, and a heavy dose of felt piano ...

For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

In daily life and communication, people usually recognize the emotions of people around them through facial expressions, voice dialogues, body language and other external behavioral signals, so as to ...

# Import the libraries we need to use in this lab # Using the following line code to install the torchvision library # !conda install -y torchvision # PyTorch Library import torch # PyTorch Neural ...

The key to more powerful plugins may be the graphics processor that you already have in your computer ...

The sensor payload (thermopile + VL53L8CX ToF) is carried by a rigid pan-tilt assembly driven by two NEMA 17 stepper motors ...