Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
Abstract: Band selection, aiming at screening representative spectral bands and eliminating redundant information, has long been a popular topic in hyperspectral imagery (HSI) processing, and has ...
A sophisticated voice AI assistant that brings the Matrix aesthetic to conversational AI. Built with Python and powered by ElevenLabs' cutting-edge Conversational AI API, this application delivers ...
CoreInfer is an MLP-free adaptive sparse activation inference method based on sentence-level prediction, achieve a 10.33x speedup compared to the Transformers implementation. The overview framework of ...
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