CoHOG: A Light-Weight, Compute-Efficient, and Training-Free Visual Place Recognition Technique for Changing Environments
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2969917
Abstract: This letter presents a novel, compute-efficient and training-free approach based on Histogram-of-Oriented-Gradients (HOG) descriptor for achieving state-of-the-art performance-per-compute-unit in Visual Place Recognition (VPR). The inspiration for this approach (namely CoHOG) is based on the convolutional… read more here.
Keywords: place recognition; place; training free; efficient training ... See more keywords
Wireless Training-Free Keystroke Inference Attack and Defense
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2022.3147721
Abstract: Existing research work has identified a new class of attacks that can eavesdrop on the keystrokes in a non-invasive way without infecting the target computer to install malware. The common idea is that pressing a… read more here.
Keywords: wireless training; training free; free keystroke; defense ... See more keywords
Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3069436
Abstract: Energy consumption is an important issue for resource-constrained wireless neural recording applications with limited data bandwidth. Compressed sensing (CS) is a promising framework for addressing this challenge because it can compress data in an energy-efficient… read more here.
Keywords: neural action; deep generative; training free; action potentials ... See more keywords
A Training-Free Infant Spontaneous Movement Assessment Method for Cerebral Palsy Prediction Based on Videos
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3255639
Abstract: objective: Early diagnosis of infant cerebral palsy (CP) is very important for infant health. In this paper, we present a novel training-free method to quantify infant spontaneous movements for predicting CP. Methods: Unlike other classification… read more here.
Keywords: training free; infant spontaneous; method; spontaneous movement ... See more keywords