Online deep intelligence for Wi-Fi indoor localization

ISWC 2015
Pages: 29 - 32
Published: Sep 7, 2015
Abstract
Indoor localization based on Wi-Fi is crucial for many practical applications. However, considered the highly dynamic indoor environment, Wi-Fi indoor localization system cannot maintain the high performance for longtime. To address this challenge, we propose a novel online deep learning approach OSDELM, which guarantees the running time of localization system from two aspects: discriminative feature, and updated model. Specifically, deep...
Paper Details
Title
Online deep intelligence for Wi-Fi indoor localization
Published Date
Sep 7, 2015
Journal
Pages
29 - 32
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.