Yu Kitano

According to our database1, Yu Kitano authored at least 10 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
People-Flow Estimation from Footstep Sounds: A Feasibility Study via Simulation Using Large-Scale Pedestrian Trajectories.
Proceedings of the IEEE International Conference on Big Data, 2025

2020
Machine-learning-based People-flow Simulation for Facility Layout Planning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
OD-network-based Pedestrian-path Prediction for People-flow Simulation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2016
Automatic Label Data Abstraction Based on Information Entropy (Application Paper).
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

2012
Lightweight Web Application Framework and Its Application - Helping Improve Community Bus Timetables after Japan Earthquake.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 2, Wroclaw, Poland, 28 June, 2012

2010
Flexible Harmonic Temporal Structure for Modeling Musical Instrument.
Proceedings of the Entertainment Computing - ICEC 2010, 9th International Conference, 2010

Monophonic Instrument Sound Segregation by Clustering NMF Components Based on Basis Similarity and Gain Disjointness.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Musical instrument identification based on harmonic temporal timbre features.
Proceedings of the ISCA Workshop on Statistical And Perceptual Audition, 2010

A sparse component model of source signals and its application to blind source separation.
Proceedings of the IEEE International Conference on Acoustics, 2010

Nonnegative Matrix Factorization with Markov-Chained Bases for Modeling Time-Varying Patterns in Music Spectrograms.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010


  Loading...