Search Results for author: Ido Nevat

Found 4 papers, 1 papers with code

Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations

1 code implementation7 Apr 2022 Shunan Sheng, Qikun Xiang, Ido Nevat, Ariel Neufeld

Firstly, we develop algorithms to perform approximate Likelihood Ratio Tests on the time-series observations, compressing them to a single bit for both point sensors and integral sensors.

Time Series Time Series Analysis

Cost-aware Feature Selection for IoT Device Classification

no code implementations2 Sep 2020 Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, Mohan Gurusamy

In this work, we take a more realistic approach, and argue that feature extraction has a cost, and the costs are different for different features.

BIG-bench Machine Learning Classification +4

Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks

no code implementations16 Aug 2019 Qikun Xiang, Ido Nevat, Gareth W. Peters

Spatial regression of random fields based on potentially biased sensing information is proposed in this paper.

Computational Efficiency

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