• 176 Citations
  • 7 h-Index
19962018
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Fingerprint Dive into the research topics where Hirotaka Niitsuma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Triangulation Engineering & Materials Science
Maximum likelihood Engineering & Materials Science
Stereo vision Engineering & Materials Science
Cameras Engineering & Materials Science
Neural networks Engineering & Materials Science
Homography Mathematics
Context free grammars Engineering & Materials Science
Gauss-Newton Mathematics

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Research Output 1996 2018

  • 176 Citations
  • 7 h-Index
  • 31 Article
  • 10 Conference contribution

Context-Free Grammars including Left Recursion using Recursive miniKanren

Niitsuma, H., Jan 1 2018, In : Computacion y Sistemas. 22, 4, p. 1395-1402 8 p.

Research output: Contribution to journalArticle

Context free grammars
Macros
Logic programming
Computer programming languages
Data structures

Japanese sentiment analysis using simple alignment sentence classification

Niitsuma, H., Kubota, D. & Ohta, M., Sep 25 2018, MEDES 2018 - 10th International Conference on Management of Digital EcoSystems. Association for Computing Machinery, Inc, p. 126-131 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Neural networks
Processing

Prototype system for visualizing review text using evaluative expression dictionaries

Tanimoto, Y., Niitsuma, H. & Ohta, M., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8709 LNCS. p. 662-665 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8709 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Glossaries
Prototype
Online systems
Attribute
Interactive Systems

Image processing using miniKanren

Niitsuma, H., 2013, In : arXiv:1403.3964 [cs.CV].

Research output: Contribution to journalArticle

11 Citations (Scopus)

Optimal computation of 3-D similarity: Gauss-Newton vs. Gauss-Helmert

Kanatani, K. & Niitsuma, H., Dec 2012, In : Computational Statistics and Data Analysis. 56, 12, p. 4470-4483 14 p.

Research output: Contribution to journalArticle

Gauss-Newton
Stereo vision
Gauss
3D
Global positioning system