Hideitsu Hino

According to our database1, Hideitsu Hino authored at least 65 papers between 2009 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Toward Distribution Estimation under Local Differential Privacy with Small Samples.
PoPETs, 2018

EEG dipole source localization with information criteria for multiple particle filters.
Neural Networks, 2018

Estimation of neural connections from partially observed neural spikes.
Neural Networks, 2018

Classification of volcanic ash particles using a convolutional neural network and probability.
CoRR, 2018

Information Geometric Perspective of Modal Linear Regression.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Geometrical Formulation of the Nonnegative Matrix Factorization.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces.
IEEE Trans. Information Forensics and Security, 2017

Local Intrinsic Dimension Estimation by Generalized Linear Modeling.
Neural Computation, 2017

Double sparsity for multi-frame super resolution.
Neurocomputing, 2017

2016
Nonparametric e-Mixture Estimation.
Neural Computation, 2016

Protein Fold Classification Using Large Margin Combination of Distance Metrics.
IEICE Transactions, 2016

Doubly sparse structure in image super resolution.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Spotting fingerspelled words from sign language video by temporally regularized canonical component analysis.
Proceedings of the IEEE International Conference on Identity, 2016

Non-parametric e-mixture of Density Functions.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Change-point detection in a sequence of bags-of-data.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

3D Object Recognition with Enhanced Grassmann Discriminant Analysis.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
Entropy Power Inequality for Learning Optimal Combination of Kernel Functions.
Signal Processing Systems, 2015

Change-Point Detection in a Sequence of Bags-of-Data.
IEEE Trans. Knowl. Data Eng., 2015

Multi-frame image super resolution based on sparse coding.
Neural Networks, 2015

Non-parametric entropy estimators based on simple linear regression.
Computational Statistics & Data Analysis, 2015

Double Sparse Multi-Frame Image Super Resolution.
CoRR, 2015

Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface.
Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015

Patchworking Multiple Pairwise Distances for Learning with Distance Matrices.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Linear Discriminant Analysis with Adherent Regularization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
Intrinsic Graph Structure Estimation Using Graph Laplacian.
Neural Computation, 2014

A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator.
Neural Computation, 2014

Sparse Coding Approach for Multi-Frame Image Super Resolution.
CoRR, 2014

Sensing Visual Attention by Sequential Patterns.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Kernel Method to Extract Common Features Based on Mutual Information.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

An Algorithm for Directed Graph Estimation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

A Non-parametric Maximum Entropy Clustering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households.
IEEE Trans. Smart Grid, 2013

Information estimators for weighted observations.
Neural Networks, 2013

Learning Ancestral Atom via Sparse Coding.
J. Sel. Topics Signal Processing, 2013

Entropy-based sliced inverse regression.
Computational Statistics & Data Analysis, 2013

Supervised covariance selection for linear discriminant analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Gaussian multiple kernel learning with entropy power inequality.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Pairwise Similarity for Line Extraction from Distorted Images.
Proceedings of the Computer Analysis of Images and Patterns, 2013

Combination of Multiple Distance Measures for Protein Fold Classification.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012
Multiple Kernel Learning with Gaussianity Measures.
Neural Computation, 2012

New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices
CoRR, 2012

A Tree Search Approach to Sparse Coding.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Sliced inverse regression with conditional entropy minimization.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

An improved entropy-based multiple kernel learning.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Robust Hypersurface Fitting Based on Random Sampling Approximations.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
An Estimation of Generalized Bradley-Terry Models Based on the em Algorithm.
Neural Computation, 2011

New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices.
Proceedings of the UAI 2011, 2011

Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization.
Proceedings of the INTERSPEECH 2011, 2011

A Measure of Credibility of Solar Power Prediction.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Extraction of Basic Patterns of Household Energy Consumption.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Calibration of radially symmetric distortion based on linearity in the calibrated image.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Speaker recognition using multiple kernel learning based on conditional entropy minimization.
Proceedings of the IEEE International Conference on Acoustics, 2011

A Computationally Efficient Information Estimator for Weighted Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning.
Neural Computation, 2010

A Grouped Ranking Model for Item Preference Parameter.
Neural Computation, 2010

Self-Calibration of Radially Symmetric Distortion by Model Selection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Multiple Kernel Learning by Conditional Entropy Minimization.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Item Preference Parameters from Grouped Ranking Observations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

An Information Theoretic Perspective of the Sparse Coding.
Proceedings of the Advances in Neural Networks, 2009

Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Calibration of Radially Symmetric Distortion by Fitting Principal Component.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009


  Loading...