Shigeru Katagiri

3.5k citations
137 papers · 2.4k indexed · 1 hit paper · h-index 22

Shigeru Katagiri

128 papers receiving 2.1k citations

Hit Papers

Discriminative learning for minimum error classification ...5271992202620032014100200300400500

Peers

Shigeru Katagiri
Comparison fields: 5 of 126
  • Signal Processing 1.3k
  • Artificial Intelligence 1.8k
  • Computer Vision and Pattern Recognition 544
  • Media Technology 54
  • Experimental and Cognitive Psychology 72
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George Saon United States
Dong Yu United States
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Shigeru Katagiri relative to George Saon United States George Saon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shigeru Katagiri

Since Specialization
Citations

This map shows the geographic impact of Shigeru Katagiri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shigeru Katagiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Katagiri more than expected).

Fields of papers citing papers by Shigeru Katagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shigeru Katagiri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shigeru Katagiri. The network helps show where Shigeru Katagiri may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shigeru Katagiri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shigeru Katagiri Line = papers co-authored together Shigeru Katagiri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2
Study on Maximum Bayes Boundary-ness Training for Pattern Classification
20200
3
A Classification-Uncertainty-Based Criterion for Classification Boundary Selection
20181
4 201711
5 20124
6 20129
7
Comparison between Minimum Classification Error Training and Support Vector Machine in Prototype-based Classifier Design
20100
8
Large Geometric Margin Minimum Classification Error Training for Kernel-based High Dimensional Space
20101
9
Minimum Classification Error Training with Automatic Control of Loss Smoothness
20102
10 20092
11
Geometric Margin Control for Minimum Error Classification
20091
12 20081
13 20064
14
Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives
200168
15
Subspace Method for Minimum Error Pattern Recognition
19973
16
A Minimum Error Approach to Spotting-Based Pattern Recognition
19956
17
A Telephone-based recognition system adaptively trained using Minimum Classification Error/Generalized Probablistic Descent(MCE/GPD)
19951
18 19944
19
A generalized probabilistic descent method
199032
20 19861

About Shigeru Katagiri

Shigeru Katagiri is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 137 papers that have together received 2.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (67 papers), Speech and Audio Processing (57 papers), Neural Networks and Applications (37 papers), Music and Audio Processing (34 papers), Face and Expression Recognition (19 papers), Natural Language Processing Techniques (13 papers), Machine Learning and Data Classification (13 papers) and Speech and dialogue systems (10 papers). The work is most often cited by research in Signal Processing (1.3k citations), Artificial Intelligence (1.8k citations) and Computer Vision and Pattern Recognition (544 citations). Shigeru Katagiri has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include B.-H. Juang, Erik McDermott, Biing‐Hwang Juang, Alain Biem, Chin‐Hui Lee, Kazuya Takeda, Yoshinori Sagisaka, Hisao Kuwabara, Atsushi Nakamura and Miho Ohsaki. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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