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Found 6 papers, 1 papers with code
One-Shot Initial Orbit Determination in Low-Earth Orbit
Due to the importance of satellites for society and the exponential increase in the number of objects in orbit, it is important to accurately determine the state (e. g., position and velocity) of these Resident Space Objects (RSOs) at any time and in a timely manner.
Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata
Our research focuses on medical referrals and aims to predict recommendations in different specialties of physicians for both new patients and those with a consultation history.
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
We propose a shape fitting/registration method based on a Gaussian Processes formulation, suitable for shapes with extensive regions of missing data.
Ranking with Confidence for Large Scale Comparison Data
In this work, we leverage a generative data model considering comparison noise to develop a fast, precise, and informative ranking algorithm from pairwise comparisons that produces a measure of confidence on each comparison.
Range and Bearing Data Fusion for Precise Convex Network Localization
Hybrid localization in GNSS-challenged environments using measured ranges and angles is becoming increasingly popular, in particular with the advent of multimodal communication systems.
From noisy point clouds to complete ear shapes: unsupervised pipeline
Ears are a particularly difficult region of the human face to model, not only due to the non-rigid deformations existing between shapes but also to the challenges in processing the retrieved data.
