Tsuyoshi Kato

According to our database1, Tsuyoshi Kato
  • authored at least 40 papers between 2000 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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Links

On csauthors.net:

Bibliography

2017
Mutual Kernel Matrix Completion.
IEICE Transactions, 2017

Stochastic Dykstra Algorithms for Distance Metric Learning with Covariance Descriptors.
IEICE Transactions, 2017

Sign-Constrained Regularized Loss Minimization.
CoRR, 2017

Mutual Kernel Matrix Completion.
CoRR, 2017

2016
Using Bregmann Divergence Regularized Machine for Comparison of Molecular Local Structures.
IEICE Transactions, 2016

Adaptive Local Thresholding for Co-Localization Detection in Multi-Channel Fluorescence Microscopic Images.
IEICE Transactions, 2016

Stochastic Dykstra Algorithms for Metric Learning on Positive Semi-Definite Cone.
CoRR, 2016

Stochastic Dykstra Algorithms for Metric Learning with Positive Definite Covariance Descriptors.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
EzCatDB: the enzyme reaction database, 2015 update.
Nucleic Acids Research, 2015

Mahalanobis Encodings for Visual Categorization.
IPSJ Trans. Computer Vision and Applications, 2015

New Descriptor for Glomerulus Detection in Kidney Microscopy Image.
CoRR, 2015

Segmental HOG: new descriptor for glomerulus detection in kidney microscopy image.
BMC Bioinformatics, 2015

2014
Fuzzy Multiple Subspace Fitting for Anomaly Detection.
IEICE Transactions, 2014

Mean Polynomial Kernel and Its Application to Vector Sequence Recognition.
IEICE Transactions, 2014

2013
A Discriminative Metric Learning Algorithm for Face Recognition.
IPSJ Trans. Computer Vision and Applications, 2013

Mean polynomial kernel for face membership authentication.
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

2012
Statistical Estimation for CAPM with Long-Memory Dependence.
ADS, 2012

2011
Transfer Learning for cytochrome P450 Isozyme Selectivity Prediction.
J. Bioinformatics and Computational Biology, 2011

Computationally Efficient Multi-task Learning with Least-squares Probabilistic Classifiers.
IPSJ Trans. Computer Vision and Applications, 2011

Discriminative structural approaches for enzyme active-site prediction.
BMC Bioinformatics, 2011

2010
Conic Programming for Multitask Learning.
IEEE Trans. Knowl. Data Eng., 2010

Geometric Representations of Interacting Maps.
Int. J. Math. Mathematical Sciences, 2010

A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference.
IJKDB, 2010

Metric learning for enzyme active-site search.
Bioinformatics, 2010

Parametric Templates: A New Enzyme Active-Site Prediction Algorithm.
Proceedings of the ICDMW 2010, 2010

An Accurate Prediction Method for Protein Structural Class from Signal Patterns of NMR Spectra in the Absence of Chemical Shift Assignments.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009
Robust Label Propagation on Multiple Networks.
IEEE Trans. Neural Networks, 2009

Recent Advances and Trends in Large-Scale Kernel Methods.
IEICE Transactions, 2009

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach.
Bioinformatics, 2009

Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
Proceedings of the SIAM International Conference on Data Mining, 2009

2008
Integration of Multiple Networks for Robust Label Propagation.
Proceedings of the SIAM International Conference on Data Mining, 2008

2007
Capacitive Sensing of Electrocardiographic Potential Through Cloth From the Dorsal Surface of the Body in a Supine Position: A Preliminary Study.
IEEE Trans. Biomed. Engineering, 2007

Classification of heterogeneous microarray data by maximum entropy kernel.
BMC Bioinformatics, 2007

Multi-Task Learning via Conic Programming.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Network-based de-noising improves prediction from microarray data.
BMC Bioinformatics, 2006

2005
Selective integration of multiple biological data for supervised network inference.
Bioinformatics, 2005

Operator Dynamics in Molecular Biology.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
A New Variational Framework for Rigid-Body Alignment.
Proceedings of the Structural, 2004

2002
Asymmetric Gaussian and Its Application to Pattern Recognition.
Proceedings of the Structural, 2002

2000
Precise Hand-printed Character Recognition Using Elastic Models via Nonlinear Transformation.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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