12 citations · 34 across the 7 of their papers we have counts for
7 papers
Synthetic Data and Hierarchical Object Detection in Overhead Imagery
Nathan Clement, Alan Schoen, Arnold Boedihardjo +1
The performance of neural network models is often limited by the availability of big data sets. To treat this problem, we survey and develop novel synthetic data generation and aug…
Robust Regression via Online Feature Selection under Adversarial Data Corruption
Xuchao Zhang, Shuo Lei, Liang Zhao +2
The presence of data corruption in user-generated streaming data, such as social media, motivates a new fundamental problem that learns reliable regression coefficient when feature…
Multimodal Storytelling via Generative Adversarial Imitation Learning
Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo +2
Deriving event storylines is an effective summarization method to succinctly organize extensive information, which can significantly alleviate the pain of information overload. The…
Online and Distributed Robust Regressions under Adversarial Data Corruption
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo +1
In today's era of big data, robust least-squares regression becomes a more challenging problem when considering the adversarial corruption along with explosive growth of datasets.…
Analyzing Evolving Stories in News Articles
Roberto Camacho Barranco, Arnold P. Boedihardjo, M. Shahriar Hossain
There is an overwhelming number of news articles published every day around the globe. Following the evolution of a news-story is a difficult task given that there is no such mecha…
Evidence of spatial embedding in the IPv4 router-level Internet network
Joshua Parker, Arnold Boedihardjo
Much interest has been taken in understanding the global routing structure of the Internet, both to model and protect the current structures and to modify the structure to improve…
Computing Similarity between a Pair of Trajectories
Swaminathan Sankararaman, Pankaj K. Agarwal, Thomas Mølhave +1
With recent advances in sensing and tracking technology, trajectory data is becoming increasingly pervasive and analysis of trajectory data is becoming exceedingly important. A fun…