Abstract. We discuss a framework for knowledge management based on ontolog- ical techniques. The central notion we study, called knowledge object, ...
The paper comprises two parts. In the first part it gives an introduction to knowledge objects, their elements and some basic properties. In the second part, it ...
We discuss a framework for knowledge management based on ontological techniques. The central notion we study, called knowledge object, is provided as a ...
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Jan 25, 2023 · Humans can label and categorize objects in a visual scene with high accuracy and speed, a capacity well characterized with studies using static ...
Missing: Knowledge | Show results with:Knowledge
Disentangled Representation Learning Definition - DeepAI
deepai.org › disentangled-representation-...
Disentangled representation is an unsupervised learning technique that breaks down, or disentangles, each feature into separate, lower dimension variables.
Disentangling Knowledge Objects. S. Borgo, and G. Pozza. FOMI, volume 198 of Frontiers in Artificial Intelligence and Applications, page 90-101. IOS Press ...
We study the Knowledge-Based visual question-answering problem, for which given a question, the models need to ground it into the visual modality to find the ...
Missing: Objects. | Show results with:Objects.
We propose a two-branch level-wise disentangle framework, which disentangles the constitutes of objects into basic commonality and hierarchical individuality ...
Jul 9, 2023 · In this work, we propose a new paradigm in which QA models are trained to disentangle the two sources of knowledge. Us- ing counterfactual data ...
Missing: Objects. | Show results with:Objects.
Jul 16, 2020 · This approach highlights knowledge and data in terms of processes rather than stable objects or assets. Further, we suggest that considering ...