Search Results for author:
Found 11 papers, 2 papers with code
Quantum Theory and Application of Contextual Optimal Transport
In cases where paired data measurements ($\mu$, $\nu$) are coupled to a context variable $p_i$ , one may aspire to learn a global transportation map that can be parameterized through a potentially unseen con-text.
Enabling the Evaluation of Driver Physiology Via Vehicle Dynamics
Driving is a daily routine for many individuals across the globe.
A recommender for the management of chronic pain in patients undergoing spinal cord stimulation
Spinal cord stimulation (SCS) is a therapeutic approach used for the management of chronic pain.
Spatial Positioning Token (SPToken) for Smart Parking
In this paper, we describe an approach to guide drivers searching for a parking space (PS).
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks
In addition, to compensate for decrease of observer's performance due to the presence of unknown destabilizing forcing, the network is designed to estimate the contribution of the unknown forcing implicitly from the data over the course of training.
A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source Implementation
With a video data source, such as multispectral video acquired during administration of fluorescent tracers, extraction of time-resolved data typically requires the compensation of motion.
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
In some cases, the environment is not influenced by the actions of the RL agent, in which case the problem can be modeled as a contextual multi-armed bandit and lightweight myopic algorithms can be employed.
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures
Intra-operative identification of malignant versus benign or healthy tissue is a major challenge in fluorescence guided cancer surgery.
Spatial Positioning Token (SPToken) for Smart Mobility
We introduce a permissioned distributed ledger technology (DLT) design for crowdsourced smart mobility applications.
Cryptography and Security
Bayesian Classifier for Route Prediction with Markov Chains
We present here a general framework and a specific algorithm for predicting the destination, route, or more generally a pattern, of an ongoing journey, building on the recent work of [Y. Lassoued, J. Monteil, Y. Gu, G. Russo, R. Shorten, and M. Mevissen, "Hidden Markov model for route and destination prediction," in IEEE International Conference on Intelligent Transportation Systems, 2017].
Where computer vision can aid physics: dynamic cloud motion forecasting from satellite images
The prediction phase consists of utilizing a linear transport equation, which describes the propagation of COD images in the fluid flow predicted by NSE, to estimate the future motion of the COD images.
