From the 1 of 3 linked papers with an AI index.
4 papers
Dynamic Online Processor-Native Inference for State Estimation
Orestis Kaparounakis
The paper introduces a processor‑native Bayesian filtering method that tracks uncertainty deterministically, offering fixed latency and bounded memory while achieving large speedup…
Approximating Analytically-Intractable Likelihood Densities with Deterministic Arithmetic for Optimal Particle Filtering
Orestis Kaparounakis, Yunqi Zhang, Phillip Stanley-Marbell
Particle filtering algorithms have enabled practical solutions to problems in autonomous robotics (self-driving cars, UAVs, warehouse robots), target tracking, and econometrics, wi…
Digital Methods to Quantify Sensor Output Uncertainty in Real Time
Orestis Kaparounakis, Phillip Stanley-Marbell
Modern data-driven applications that make real-time decisions increasingly depend on advanced sensors which use pre-stored calibration data. In such applications, accurate characte…
Simulated Eyeblink Artifact Removal with ICA: Effect of Measurement Uncertainty
Jennie Couchman, Orestis Kaparounakis, Chatura Samarakoon +1
Independent Component Analysis (ICA) is commonly-used in electroencephalogram (EEG) signal processing to remove non-cerebral artifacts from cerebral data. Despite the ubiquity of I…