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Tatsuya Shinada

dblp:167/3479 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

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
Geometric modeling and processing · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › shape modeling
3d modeling		 0.212015
3D node localization from node-to-node distance information using cross-entropy method · VR 2015
Mathematical optimization › stochastic optimization
cross-entropy method		 0.112015
3D node localization from node-to-node distance information using cross-entropy method · VR 2015

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

parallel sample evaluation · 0.4cross-entropy method · 0.4
YearPublicationVenuePosition
2015 3D node localization from node-to-node distance information using cross-entropy method
abstract
This paper proposes a 3D node localization method that uses cross-entropy method for the 3D modeling system. The proposed localization method statistically estimates the most probable positions overcoming measurement errors through iterative sample generation and evaluation. The generated samples are evaluated in parallel, and then a significant speedup can be obtained. We also demonstrate that the iterative sample generation and evaluation performed in parallel are highly compatible with interactive node movement.
Shohei Ukawa, Tatsuya Shinada, Masanori Hashimoto, Yuichi Itoh, Takao Onoye
 VR2