Hiroshi Ninomiya

According to our database, Hiroshi Ninomiya authored at least 42 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Method to Achieve High Speed and High Recognition Rate of Goal from Long Distance for CanSat.

Miho Akiyama, Hiroshi Ninomiya, Takuya Saito

J. Robotics Mechatronics, February, 2023

2022

Accelerating Symmetric Rank-1 Quasi-Newton Method with Nesterov's Gradient for Training Neural Networks.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Algorithms, 2022

Generative Model of Suitable Meme Sentences for Images Using AutoEncoder.

Ryo Yamatomi, Shahrzad Mahboubi, Hiroshi Ninomiya

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract).

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

On the Practical Robustness of the Nesterov's Accelerated Quasi-Newton Method.

S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A modified limited memory Nesterov's accelerated quasi-Newton.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

CoRR, 2021

2020

A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

CoRR, 2020

A Neural Network Approach to Analog Circuit Design Optimization using Nesterov's Accelerated Quasi-Newton Method.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai

CoRR, 2019

Momentum Acceleration of Quasi-Newton Training for Neural Networks.

Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method.

Sota Yasuda, Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Implementation of a Modified Nesterov's Accelerated Quasi-Newton Method on Tensorflow.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

A Novel quasi-Newton with Momentum Training for Microwave Circuit Models using Neural Networks.

Shahrzad Mahboubi, Hiroshi Ninomiya

Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018

2017

Deep Manifold Embedding for 3D Object Pose Estimation.

Hiroshi Ninomiya, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Norimasa Kobori, Yusuke Nakano

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

2016

Investigation of DNN-Based Audio-Visual Speech Recognition.

Satoshi Tamura, Hiroshi Ninomiya, Norihide Kitaoka, Shin Osuga, Yurie Iribe, Kazuya Takeda, Satoru Hayamizu

IEICE Trans. Inf. Syst., 2016

2015

Integration of deep bottleneck features for audio-visual speech recognition.

Hiroshi Ninomiya, Norihide Kitaoka, Satoshi Tamura, Yurie Iribe, Kazuya Takeda

Proceedings of the INTERSPEECH 2015, 2015

Audio-visual speech recognition using deep bottleneck features and high-performance lipreading.

Satoshi Tamura, Hiroshi Ninomiya, Norihide Kitaoka, Shin Osuga, Yurie Iribe, Kazuya Takeda, Satoru Hayamizu

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014

Reconfigurable Circuit Design Based on Arithmetic Logic Unit Using Double-Gate CNTFETs.

Hiroshi Ninomiya, Manabu Kobayashi, Yasuyuki Miura, Shigeyoshi Watanabe

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

Reconfigurable Dynamic Logic Circuit Generating <i>t</i>-Term Boolean Functions Based on Double-Gate CNTFETs.

Manabu Kobayashi, Hiroshi Ninomiya, Yasuyuki Miura, Shigeyoshi Watanabe

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

2013

Reduced Reconfigurable Logic Circuit Design Based on Double Gate CNTFETs Using Ambipolar Binary Decision Diagram.

Hiroshi Ninomiya, Manabu Kobayashi, Shigeyoshi Watanabe

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013

Circuit Design of Reconfigurable Logic Based on Double-Gate CNTFETs.

Manabu Kobayashi, Hiroshi Ninomiya, Shigeyoshi Watanabe

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013

Dynamic sample size selection based quasi-Newton training for highly nonlinear function approximation using multilayer neural networks.

Hiroshi Ninomiya

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

An error probability estimation of the document classification using Markov model.

Manabu Kobayashi, Hiroshi Ninomiya, Toshiyasu Matsushima, Shigeichi Hirasawa

Proceedings of the International Symposium on Information Theory and its Applications, 2012

2011

Parameterized online quasi-Newton training for high-nonlinearity function approximation using multilayer neural networks.

Hiroshi Ninomiya

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Robust Training of Multilayer Neural Networks Using Parameterized Online Quasi-Newton Algorithm.

Hiroshi Ninomiya

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

An Improved Online quasi-Newton method for robust training and its application to microwave neural network models.

Hiroshi Ninomiya

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

A hybrid global/local optimization technique for robust training of microwave neural network models.

Hiroshi Ninomiya

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Particle with ability of local search swarm optimization: PALSO for training of feedforward neural networks.

Hiroshi Ninomiya, Qi-Jun Zhang

Proceedings of the International Joint Conference on Neural Networks, 2008

2006

Two-staged Tabu Search for Floorplan Problem Using O-Tree Representation.

Hiroshi Ninomiya, Kimihiko Numayama, Hideki Asai

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Three dimensional module packing by simulated annealing.

Hirokazu Yamagishi, Hiroshi Ninomiya, Hideki Asai

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2000

Design Method of Limit Cycle Generator by Hysteresis Neural Networks.

Teru Yoneyama, Hideki Asai, Hiroshi Ninomiya

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Design method of neural networks for limit cycle generator.

Teru Yoneyama, Hiroshi Ninomiya, Hideki Asai

Proceedings of the International Joint Conference Neural Networks, 1999

A new learning algorithm without explicit error backpropagation.

Hiroshi Ninomiya, Naoki Kinoshita

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Neural network simulator for spatiotemporal pattern analysis.

Atsushi Kamo, Hiroshi Ninomiya, Teru Yoneyama, Hideki Asai

Proceedings of the 5th IEEE International Conference on Electronics, Circuits and Systems, 1998

1997

Application of neuro-based optimization algorithm to three dimensional cylindric puzzles.

Hiroyuki Yamamoto, Takeshi Nakayama, Hiroshi Ninomiya, Hideki Asai

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Design and implementation of neuro-based discrete Walsh transform processor.

Takeshi Kamio, Hiroshi Ninomiya, Hideki Asai

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Tiling algorithm with fitting violation function for analog neural array.

Hideki Asai, Takeshi Nakayama, Hiroshi Ninomiya

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995

Orthogonalized Steepest Descent Method for Solving Nonlinear Equations.

Hiroshi Ninomiya, Hideki Asai

Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Convergence of Hopfield Neural Network for Orthogonal Transformation.

Takeshi Kamio, Hiroshi Ninomiya, Hideki Asai

Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Neural network approach to traveling salesman problem based on hierarchical city adjacency.

Hiroshi Ninomiya, Kazumichi Sato, Takeshi Nakayama, Hideki Asai

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

A study of Hopfield neural networks with external noises.

Hideki Asai, Katsuaki Onodera, Takeshi Kamio, Hiroshi Ninomiya

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995