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G. Devi

dblp:42/1886 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Theoretical computer science
1 paper
Algorithms and data structures · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
high-dimensional data visualization
0.212016
Conceptualizing Curse of Dimensionality with Parallel Coordinates · AAAI 2016
Visualization and visual analytics › high-dimensional data visualization
parallel coordinates
0.212016
Conceptualizing Curse of Dimensionality with Parallel Coordinates · AAAI 2016
Algorithms and data structures › similarity search › nearest neighbor search
curse of dimensionality
0.112016
Conceptualizing Curse of Dimensionality with Parallel Coordinates · AAAI 2016

Methods — techniques the papers use, named apart from their topics

parallel coordinates · 0.5
YearPublicationVenuePosition
2016 Conceptualizing Curse of Dimensionality with Parallel Coordinates
abstract
We report on a novel use of parallel coordinates as a pedagogical tool for illustrating the non-intuitive properties of high dimensional spaces with special emphasis on the phenomenon of Curse of Dimensionality. Also, we have collated what we believe to be a representative sample of diverse approaches that exist in literature to conceptualize the Curse of Dimensionality. We envisage that the paper will have pedagogical value in structuring the way Curse of Dimensionality is presented in classrooms and associated lab sessions.
G. Devi, Charu Chauhan, Sutanu Chakraborti
AAAI1