A Two-Stage Hierarchical One-Class Classification Structure for HFSWR Ship-Target Detection
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Western University, London, Canada
2. Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada
Funder
Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Program
NSERC Alliance Program
NSERC Collaborative Research and Training Experience (CREATE) Building Trust in Connected and Autonomous Vehicles (TrustCAV) Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10271361.pdf?arnumber=10271361
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1. LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification
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4. Multilayer one-class extreme learning machine
5. Adaptive detection mode with threshold control as a function of spatially sampled clutter-level estimates;finn;RCA Rev,1968
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