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RIKEN Center for Advanced Intelligence Project

Japan

95 papers here2.8k citations across 95
fields
  • cs.LG18
  • cs.CV15
  • stat.ML12
  • cs.CL4
  • cs.HC4
  • cs.SD4
  • astro-ph.CO3
  • cond-mat.dis-nn3
ROR 03ckxwf91OpenAlex

affiliations via OpenAlex

output
20162026
most citedMore Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

1.4k citations

researchers with a paper here
  • Kazuyoshi Yoshii2 profiles6 · h 31
  • Masashi Sugiyama2 profiles6 · h 88
  • N. Yokoya5 · h 61
  • Yoshiaki Bando2 profiles5 · h 17
  • Jun Sakuma2 profiles4 · h 23
  • Mathieu Fontaine4 · h 9
  • Aditya Nugraha3 · h 3
  • D. Carlo3 · h 6
  • D. Hong3 · h 69
  • Hidetoshi Shimodaira3 · h 23
  • Kouhei Sekiguchi2 profiles3 · h 11
  • M. Otake-Matsuura3 · h 12
collaborating institutions
  • The University of TokyoJP27 papers
  • Kyoto UniversityJP17 papers
  • University of TsukubaJP9 papers
  • Tokyo Institute of TechnologyJP7 papers
  • Centre National de la Recherche ScientifiqueFR5 papers
  • National Institute of Advanced Industrial Science and TechnologyJP5 papers
  • Institut polytechnique de GrenobleFR4 papers
  • Keio UniversityJP4 papers
  • Laboratoire Traitement et Communication de l’InformationFR4 papers
  • The University of OsakaJP4 papers
  • Université Grenoble AlpesFR4 papers
  • Chiba UniversityJP3 papers
Showing 2019 · cs.SDShow all

1 paper · 2 filters

cs.SD2019★ 3 cited

Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices

Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando +1

This paper describes a versatile method that accelerates multichannel source separation methods based on full-rank spatial modeling. A popular approach to multichannel source separ…

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