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Title: Deep Interactive Learning with Sharkzor

Sharkzor is a web application for machine-learning assisted image sort and summary. Deep learning algorithms are leveraged to infer, augment, and automate the user’s mental model. Initially, images upmore »loaded by the user are spread out on a canvas. The user then interacts with the images to impute their mental model into the applications algorithmic underpinnings. Methods of interaction within Sharkzor’s user interface and user experience support three primary user tasks: triage, organize and automate. The user triages the large pile of overlapping images by moving images of interest into proximity. The user then organizes said images into meaningful groups. After interacting with the images and groups, deep learning helps to automate the user’s interactions. The loop of interaction, automation, and response by the user allows the system to quickly make sense of large amounts of data.« less
Title: Deep Interactive Learning with Sharkzor
Publication Date: 2017-10-16
OSTI Identifier: 1402064
Resource Type: Multimedia
Research Org: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org: USDOE
Subject: 97 MATHEMATICS AND COMPUTING ; SHARKZOR ; MACHINE-LEARNING ; ALGORITHMS ; IMAGES ; TRIAGE ; ORGANIZE ; AUTOMATE ; N-SHOT LEARNING
Country of Publication: United States
Language: English
Run Time: 00:01:41
System Entry Date: 2018-05-08