6 citations · 13 across the 5 of their papers we have counts for
6 papers
Identifying Information from Observations with Uncertainty and Novelty
Derek S. Prijatelj, Timothy J. Ireland, Walter J. Scheirer
A machine that learns a task from observations must encounter and process uncertainty and novelty, especially when it is to maintain performance when observing new information and…
Human Activity Recognition in an Open World
Derek S. Prijatelj, Samuel Grieggs, Jin Huang +6
Managing novelty in perception-based human activity recognition (HAR) is critical in realistic settings to improve task performance over time and ensure solution generalization out…
Measuring Human Perception to Improve Open Set Recognition
Jin Huang, Derek Prijatelj, Justin Dulay +1
The human ability to recognize when an object belongs or does not belong to a particular vision task outperforms all open set recognition algorithms. Human perception as measured b…
Handwriting Recognition with Novelty
Derek S. Prijatelj, Samuel Grieggs, Futoshi Yumoto +2
This paper introduces an agent-centric approach to handle novelty in the visual recognition domain of handwriting recognition (HWR). An ideal transcription agent would rival or sur…
A Unifying Framework for Formal Theories of Novelty:Framework, Examples and Discussion
T. E. Boult, P. A. Grabowicz, D. S. Prijatelj +11
Managing inputs that are novel, unknown, or out-of-distribution is critical as an agent moves from the lab to the open world. Novelty-related problems include being tolerant to nov…
A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition Tasks
Derek S. Prijatelj, Mel McCurrie, Walter J. Scheirer
An interesting development in automatic visual recognition has been the emergence of tasks where it is not possible to assign objective labels to images, yet still feasible to coll…