Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...
a single-threaded CPU compressor an OpenMP-backed multi-threaded compressor a SYCL-based GPU compressor (currently hipSYCL + NVIDIA only) a CUDA-based GPU compressor All variants generate and decode ...
Abstract: Visual information varying over time is typically captured by cameras that acquire data via images (frames) equally spaced in time. Using a different approach, Neuromorphic Vision Sensors ...
Abstract: Data subset selection is a crucial task in deploying machine learning algorithms under strict constraints regarding memory and computation resources. Despite extensive research in this area, ...