Convolutional Neural Networks based Denoising for Indoor Localization

We proposed a zoning based localization approach in a belief functions framework using WiFi fingerprints.. Different types of modeling were considered, namely the parametric

Zoning-based Localization in Indoor Sensor Networks Using Belief Functions Theory.. Daniel Alshamaa, Farah Mourad-Chehade,

Recall that our core intuition is that the spectrum-based fault localization algorithm misses causal information about the propagation of a fault in the program. Using our

(2013) turn their attention to improving the shallow semantic component, lexi- cal semantics, by performing semantic matching based on a latent word-alignment structure (cf.. Chang

This chapter proposed a novel distributed multi-robot localization framework. The proposed approach is based on distributed target tracking frameworks and integrates a state

The Unitor system is based on the Convolu- tional Neural Network (CNN) architecture for text classification proposed in (Kim, 2014), and further extended in (Croce et al., 2016)..

This paper describes a convolutional neural network based deep learn- ing approach for bird song classification that was used in an audio record-based bird identification challenge,

Chaumont, ”Camera Model Identification Based Machine Learning Approach With High Order Statistics Features”, in EUSIPCO’2016, 24th European Signal Processing Conference 2016,