Muneki Yasuda - researchr alias

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Viewing Publication 1 - 16 from 16

2022

Hierarchical Gaussian Markov Random Field for Image DenoisingYuki Monma, Kan Aro, Muneki Yasuda. ieicetd, 105(3):689-699, 2022. [doi]

2021

A Generalization of Spatial Monte Carlo IntegrationMuneki Yasuda, Kei Uchizawa. neco, 33(4):1037-1062, 2021. [doi]

2020

Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic LayerYuri Kanno, Muneki Yasuda. icpr 2021: 7655-7660 [doi]

Changing Tendency Analysis of Sleep Quality on the Basis of Temperature and Respiratory Frequency Using a Neural Network ModelMinami Tsuchiya, Seung-Il Cho, Atsushi Tanaka, Muneki Yasuda, Tomochika Harada, Michio Yokoyama. ijflis, 20(2):87-95, 2020. [doi]

2019

Bayesian Image Denoising with Multiple Noisy ImagesShun Kataoka, Muneki Yasuda. rss, 13(2):267-280, 2019. [doi]

Sublinear Computational Time Modeling by Momentum-Space Renormalization Group Theory in Statistical Machine Learning ProceduresKazuyuki Tanaka, Masayuki Ohzeki, Muneki Yasuda. rss, 13(2):281-306, 2019. [doi]

Restricted Boltzmann Machine with Multivalued Hidden VariablesYuuki Yokoyama, Tomu Katsumata, Muneki Yasuda. rss, 13(2):253-266, 2019. [doi]

2018

Estimation System of Blood Pressure Variation with Photoplethysmography Signals Using Multiple Regression Analysis and Neural NetworkSeung-Il Cho, Takumi Negishi, Minami Tsuchiya, Muneki Yasuda, Michio Yokoyama. ijflis, 18(4):229-236, 2018. [doi]

Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration MethodMuneki Yasuda. algorithms, 11(4):42, 2018. [doi]

Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random FieldMuneki Yasuda, Junpei Watanabe, Shun Kataoka, Kazuyuki Tanaka. ieicet, 101-D(6):1629-1639, 2018. [doi]

2016

Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann MachinesMuneki Yasuda. aistats 2016: 582-590 [doi]

2014

Effective Mean-Field Inference Method for Nonnegative Boltzmann MachinesMuneki Yasuda. icpr 2014: 3600-3605 [doi]

2012

Composite likelihood estimation for restricted Boltzmann machinesMuneki Yasuda, Shun Kataoka, Yuji Waizumi, Kazuyuki Tanaka. icpr 2012: 2234-2237 [doi]

2009

Approximate Learning Algorithm in Boltzmann MachinesMuneki Yasuda, Kazuyuki Tanaka. neco, 21(11):3130-3178, 2009. [doi]

2008

Statistical Inferences by Gaussian Markov Random Fields on Complex NetworksKazuyuki Tanaka, Takafumi Usui, Muneki Yasuda. cimca 2008: 214-219 [doi]

Approximate Learning Algorithm for Restricted Boltzmann MachinesMuneki Yasuda, Kazuyuki Tanaka. cimca 2008: 692-697 [doi]

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