18 citations · 20 across the 3 of their papers we have counts for
4 papers
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection
JT Turner, Adam Page, Tinoosh Mohsenin +1
Ubiquitous bio-sensing for personalized health monitoring is slowly becoming a reality with the increasing availability of small, diverse, robust, high fidelity sensors. This oncom…
SPARCNN: SPAtially Related Convolutional Neural Networks
JT Turner, Kalyan Moy Gupta, David Aha
The ability to accurately detect and classify objects at varying pixel sizes in cluttered scenes is crucial to many Navy applications. However, detection performance of existing st…
Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features
JT Turner, Kalyan Gupta, Brendan Morris +1
Although recent advances in regional Convolutional Neural Networks (CNNs) enable them to outperform conventional techniques on standard object detection and classification tasks, t…
Convolutional Architecture Exploration for Action Recognition and Image Classification
J. T. Turner, David Aha, Leslie Smith +1
Convolutional Architecture for Fast Feature Encoding (CAFFE) [11] is a software package for the training, classifying, and feature extraction of images. The UCF Sports Action datas…