8 citations · 15 across the 5 of their papers we have counts for
6 papers
Synthetic Image Data for Deep Learning
Jason W. Anderson, Marcin Ziolkowski, Ken Kennedy +1
Realistic synthetic image data rendered from 3D models can be used to augment image sets and train image classification semantic segmentation models. In this work, we explore how h…
Proactive Query Expansion for Streaming Data Using External Source
Farah Alshanik, Amy Apon, Yuheng Du +2
Query expansion is the process of reformulating the original query by adding relevant words. Choosing which terms to add in order to improve the performance of the query expansion…
Accelerating Text Mining Using Domain-Specific Stop Word Lists
Farah Alshanik, Amy Apon, Alexander Herzog +2
Text preprocessing is an essential step in text mining. Removing words that can negatively impact the quality of prediction algorithms or are not informative enough is a crucial st…
Vision-based Pedestrian Alert Safety System (PASS) for Signalized Intersections
Mhafuzul Islam, Mizanur Rahman, Mashrur Chowdhury +3
Although Vehicle-to-Pedestrian (V2P) communication can significantly improve pedestrian safety at a signalized intersection, this safety is hindered as pedestrians often do not car…
Multi-class Twitter Data Categorization and Geocoding with a Novel Computing Framework
Sakib Mahmud Khan, Mashrur Chowdhury, Linh B. Ngo +1
This study details the progress in transportation data analysis with a novel computing framework in keeping with the continuous evolution of the computing technology. The computing…
Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)
Chris Gropp, Alexander Herzog, Ilya Safro +2
Topic modeling, a method for extracting the underlying themes from a collection of documents, is an increasingly important component of the design of intelligent systems enabling t…