Fusion and Sense Making of Heterogeneous Sensor Network and Other Sources

Abstract

PI Team has proposed to utilize an adaptive multimodal fusion framework that uses both training data and web resources for scene classification, the experimental results on the benchmark datasets show that the proposed text-aided scene classification framework could significantly improve classification performance. Experimental results also show that the adaptive multimodal fusion mechanism can effectively individualize reliability-dependent weighting modulation for every new observation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 16, 2017
Accession Number
AD1032112

Entities

People

  • Kezhi Mao
  • Zhongxiang Shen

Organizations

  • Nanyang Technological University

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence Software
  • Bayesian Networks
  • Computer Languages
  • Data Mining
  • Databases
  • Detectors
  • Dimensionality Reduction
  • Feature Extraction
  • Image Classification
  • Information Science
  • Machine Learning
  • Ontologies
  • Reliability
  • Sensor Networks
  • Supervised Machine Learning

Readers

  • Neural Network Machine Learning.