ABSTRACT: This is the first paper to be written on the theory of structural learning. The first section outlines the overall concept; the second section proposes the logical universe as the ...
FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 17 state-of-the-art ...
Abstract: This letter develops a sparse representation-based multiview incremental learning (SRMIL) algorithm for SAR vehicle target recognition, which consists of a learning class-adversarial ...
Objective: This study aimed to investigate the role of cerebellar magnetic resonance imaging (MRI) features in identifying mild cognitive impairment (MCI). Methods: This retrospective multicenter ...
ABSTRACT: The Matrix Element Method (MEM) is a widely used algorithm in experimental and theoretical high-energy physics (HEP) analyses. The MEM is based on the Lagrangian method to assess the ...
Research Center for Safety Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan Environment, Health & Safety Office, Nagoya University ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
SparseDrive is a Sparse-Centric paradigm for end-to-end autonomous driving. We explore the sparse scene representation for end-to-end autonomous driving and propose a Sparse-Centric paradigm named ...
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