Hiroshi Ninomiya

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 19

Top Topics

Function Approximation

Speech Recognition

Top Venues

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

Publications

Miho Akiyama, Hiroshi Ninomiya, Takuya Saito
Method to Achieve High Speed and High Recognition Rate of Goal from Long Distance for CanSat. J. Robotics Mechatronics 35 (1) (2023)
Ryo Yamatomi, Shahrzad Mahboubi, Hiroshi Ninomiya
Generative Model of Suitable Meme Sentences for Images Using AutoEncoder. PRICAI (1) (2022)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai
Accelerating Symmetric Rank-1 Quasi-Newton Method with Nesterov's Gradient for Training Neural Networks. Algorithms 15 (1) (2022)
S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai
On the Practical Robustness of the Nesterov's Accelerated Quasi-Newton Method. AAAI (2022)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai
A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract). AAAI (2022)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai
A modified limited memory Nesterov's accelerated quasi-Newton. CoRR (2021)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai
A Neural Network Approach to Analog Circuit Design Optimization using Nesterov's Accelerated Quasi-Newton Method. ISCAS (2020)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai
A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning. CoRR (2020)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai
A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient. ECML/PKDD (1) (2019)
Sota Yasuda, Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai
A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method. CoRR (2019)
Sota Yasuda, Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai
A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method. ICMLA (2019)
Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai
Momentum Acceleration of Quasi-Newton Training for Neural Networks. PRICAI (2) (2019)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai
A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient. CoRR (2019)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai
An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs. CoRR (2019)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai
Implementation of a modified Nesterov's Accelerated quasi-Newton Method on Tensorflow. CoRR (2019)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai
Implementation of a Modified Nesterov's Accelerated Quasi-Newton Method on Tensorflow. ICMLA (2018)
Shahrzad Mahboubi, Hiroshi Ninomiya
A Novel quasi-Newton with Momentum Training for Microwave Circuit Models using Neural Networks. ICECS (2018)
Hiroshi Ninomiya, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Norimasa Kobori, Yusuke Nakano
Deep Manifold Embedding for 3D Object Pose Estimation. VISIGRAPP (5: VISAPP) (2017)
Satoshi Tamura, Hiroshi Ninomiya, Norihide Kitaoka, Shin Osuga, Yurie Iribe, Kazuya Takeda, Satoru Hayamizu
Investigation of DNN-Based Audio-Visual Speech Recognition. IEICE Trans. Inf. Syst. (10) (2016)
Satoshi Tamura, Hiroshi Ninomiya, Norihide Kitaoka, Shin Osuga, Yurie Iribe, Kazuya Takeda, Satoru Hayamizu
Audio-visual speech recognition using deep bottleneck features and high-performance lipreading. APSIPA (2015)
Hiroshi Ninomiya, Norihide Kitaoka, Satoshi Tamura, Yurie Iribe, Kazuya Takeda
Integration of deep bottleneck features for audio-visual speech recognition. INTERSPEECH (2015)
Hiroshi Ninomiya, Manabu Kobayashi, Yasuyuki Miura, Shigeyoshi Watanabe
Reconfigurable Circuit Design Based on Arithmetic Logic Unit Using Double-Gate CNTFETs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2) (2014)
Manabu Kobayashi, Hiroshi Ninomiya, Yasuyuki Miura, Shigeyoshi Watanabe
-Term Boolean Functions Based on Double-Gate CNTFETs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (5) (2014)
Hiroshi Ninomiya
Dynamic sample size selection based quasi-Newton training for highly nonlinear function approximation using multilayer neural networks. IJCNN (2013)
Manabu Kobayashi, Hiroshi Ninomiya, Shigeyoshi Watanabe
Circuit Design of Reconfigurable Logic Based on Double-Gate CNTFETs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (7) (2013)
Hiroshi Ninomiya, Manabu Kobayashi, Shigeyoshi Watanabe
Reduced Reconfigurable Logic Circuit Design Based on Double Gate CNTFETs Using Ambipolar Binary Decision Diagram. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (1) (2013)
Manabu Kobayashi, Hiroshi Ninomiya, Toshiyasu Matsushima, Shigeichi Hirasawa
An error probability estimation of the document classification using Markov model. ISITA (2012)
Hiroshi Ninomiya
Robust Training of Multilayer Neural Networks Using Parameterized Online Quasi-Newton Algorithm. ICMLA (1) (2011)
Hiroshi Ninomiya
Parameterized online quasi-Newton training for high-nonlinearity function approximation using multilayer neural networks. IJCNN (2011)
Hiroshi Ninomiya
An Improved Online quasi-Newton method for robust training and its application to microwave neural network models. IJCNN (2010)
Hiroshi Ninomiya
A hybrid global/local optimization technique for robust training of microwave neural network models. IEEE Congress on Evolutionary Computation (2009)
Hiroshi Ninomiya, Qi-Jun Zhang
Particle with ability of local search swarm optimization: PALSO for training of feedforward neural networks. IJCNN (2008)
Hiroshi Ninomiya, Kimihiko Numayama, Hideki Asai
Two-staged Tabu Search for Floorplan Problem Using O-Tree Representation. IEEE Congress on Evolutionary Computation (2006)
Hirokazu Yamagishi, Hiroshi Ninomiya, Hideki Asai
Three dimensional module packing by simulated annealing. Congress on Evolutionary Computation (2005)
Teru Yoneyama, Hideki Asai, Hiroshi Ninomiya
Design Method of Limit Cycle Generator by Hysteresis Neural Networks. IJCNN (3) (2000)
Hiroshi Ninomiya, Naoki Kinoshita
A new learning algorithm without explicit error backpropagation. IJCNN (1999)
Teru Yoneyama, Hiroshi Ninomiya, Hideki Asai
Design method of neural networks for limit cycle generator. IJCNN (1999)
Atsushi Kamo, Hiroshi Ninomiya, Teru Yoneyama, Hideki Asai
Neural network simulator for spatiotemporal pattern analysis. ICECS (1998)
Hiroyuki Yamamoto, Takeshi Nakayama, Hiroshi Ninomiya, Hideki Asai
Application of neuro-based optimization algorithm to three dimensional cylindric puzzles. ICNN (1997)
Hideki Asai, Takeshi Nakayama, Hiroshi Ninomiya
Tiling algorithm with fitting violation function for analog neural array. ICNN (1996)
Takeshi Kamio, Hiroshi Ninomiya, Hideki Asai
Design and implementation of neuro-based discrete Walsh transform processor. ICNN (1996)
Hiroshi Ninomiya, Hideki Asai
Orthogonalized Steepest Descent Method for Solving Nonlinear Equations. ISCAS (1995)
Takeshi Kamio, Hiroshi Ninomiya, Hideki Asai
Convergence of Hopfield Neural Network for Orthogonal Transformation. ISCAS (1995)
Hideki Asai, Katsuaki Onodera, Takeshi Kamio, Hiroshi Ninomiya
A study of Hopfield neural networks with external noises. ICNN (1995)
Hiroshi Ninomiya, Kazumichi Sato, Takeshi Nakayama, Hideki Asai
Neural network approach to traveling salesman problem based on hierarchical city adjacency. ICNN (1995)