Keigo Kimura

According to our database1, Keigo Kimura authored at least 15 papers between 2008 and 2019.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Data Transfer Methods for Information-Centric Networking-Based Wireless Sensor Network Platform.
Proceedings of the 33rd International Conference on Information Networking, 2019

2017
READER: Robust Semi-Supervised Multi-Label Dimension Reduction.
IEICE Trans. Inf. Syst., 2017

MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification.
CoRR, 2017

2016
A column-wise update algorithm for nonnegative matrix factorization in Bregman divergence with an orthogonal constraint.
Mach. Learn., 2016

Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Multi-label classification with meta-label-specific features.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Locality in multi-label classification problems.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Simultaneous visualization of samples, features and multi-labels.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Fast random k-labELsets for large-scale multi-label classification.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Scalable Clustering-Based Local Multi-Label Classification Method.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Variable Selection for Efficient Nonnegative Tensor Factorization.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2011
Topic graph based transfer learning via generalized KL divergence based NMF.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Non-negative Matrix Factorization with sparse features.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2008
High-resolution DPWM generator for digitally controlled DC-DC converters.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008


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