52 citations · 116 across the 16 of their papers we have counts for
6 papers · 1 filter
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models
Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba +2
We study the problem of inferring user intent from noninvasive electroencephalography (EEG) to restore communication for people with severe speech and physical impairments (SSPI).…
Pregrasp Object Material Classification by a Novel Gripper Design with Integrated Spectroscopy
Nathaniel Hanson, Tarik Kelestemur, Deniz Erdogmus +1
Robots benefit from being able to classify objects they interact with or manipulate based on their material properties. This capability ensures fine manipulation of complex objects…
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices
Nasim Soltani, Hai Cheng, Mauro Belgiovine +10
Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are used for communication links in many current and emerging Internet of Things (IoT) applications, including the…
Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI
Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus +1
Fetal brain segmentation is an important first step for slice-level motion correction and slice-to-volume reconstruction in fetal MRI. Fast and accurate segmentation of the fetal b…
Online multi-resolution fusion of space-borne multispectral images
Haoqing Li, Bhavia Duvviri, Ricardo Borsoi +4
Satellite imaging has a central role in monitoring, detecting and estimating the intensity of key natural phenomena. One important feature of satellite images is the trade-off betw…
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering
Tales Imbiriba, Ahmet Demirkaya, Jindřich Duník +3
In this paper we present a hybrid neural network augmented physics-based modeling (APBM) framework for Bayesian nonlinear latent space estimation. The proposed APBM strategy allows…