Abstract: Low-rank tensor completion (LRTC) has shown promise in processing incomplete visual data, yet it often overlooks the inherent local smooth structures in images and videos. Recent advances in ...

Abstract: Considering multidimensional structure of the multi-exposure images, a new Tensor product and Tensor-singular value decomposition based Multi-Exposure image Fusion (TT-MEF) method is ...

Altera Corporation introduced new programmable hardware and software for embedded developers working on edge applications. The new offerings include Agilex FPGAs, Quartus Prime Pro software, and FPGA ...

Large language models (LLMs) have become central to natural language processing (NLP), excelling in tasks such as text generation, comprehension, and reasoning. However, their ability to handle longer ...

Department of Applied Mathematics, Palestine Technical University-Kadoorie, Tulkarem, Palestine. Graphs serve as powerful mathematical tools for modeling complex systems and relationships in various ...

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As we all know (or should know) by now, Google’s Tensor chipsets aren’t meant to break any benchmark records. It’s not about speed with Tensor but more about designing to meet Google’s use cases for ...

A good intelligent learning model is the key to complete recognition of scene information and accurate recognition of specific targets in intelligent unmanned system. This study proposes a new ...