Tomoaki Nakamura

Masahide Kaneko, Tomoaki Nakamura, Takayuki Nagai, 2018, 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Ensemble-of-Concept Models for Unsupervised Formation of Multiple Categories

Tomoaki Nakamura, Takayuki Nagai, T. Nagai, 2018, IEEE Transactions on Cognitive and Developmental Systems.

Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models

Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, 2016, Adv. Robotics.

Symbol emergence in robotics: a survey

Tomoaki Nakamura, Takayuki Nagai, Tetsuya Ogata, 2015, Adv. Robotics.

Integrated concept of objects and human motions based on multi-layered multimodal LDA

Tomoaki Nakamura, Takayuki Nagai, Kasumi Abe, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Multimodal categorization by hierarchical dirichlet process

Tomoaki Nakamura, Takayuki Nagai, Naoto Iwahashi, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Grounding of word meanings in multimodal concepts using LDA

Tomoaki Nakamura, Takayuki Nagai, Naoto Iwahashi, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Formation of hierarchical object concept using hierarchical latent Dirichlet allocation

Yoshiki Ando, Tomoaki Nakamura, Takaya Araki, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Multimodal Object Categorization Based on Hierarchical Dirichlet Process by a Robot

Tomoaki Nakamura, Takaya Araki, Naoto Iwahashi, 2013 .

Formation of Hierarchical Concepts using Hierarchical Multimodal LDA by Robots

Yoshiki Ando, Tomoaki Nakamura, Takaya Araki, 2013 .

Unsupervised decomposition of natural monkey behavior into a sequence of motion motifs

Tomoaki Nakamura, T. Minamimoto, D. Mochihashi, 2023, bioRxiv.

R A F T Unsupervised decomposition and description of nonhuman primate behavior

Tomoaki Nakamura, T. Minamimoto, D. Mochihashi, 2023 .

HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model

Tomoaki Nakamura, Wataru Takano, Daichi Mochihashi, 2019, Front. Robot. AI.

High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes

Tomoaki Nakamura, Wataru Takano, Masatoshi Nagano, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process

Masahide Kaneko, Tomoaki Nakamura, Takayuki Nagai, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes

Masahide Kaneko, Tomoaki Nakamura, Takayuki Nagai, 2017, Front. Neurorobot..

Analysis of in- and out-group differences between Western and East-Asian facial expression recognition

Masahide Kaneko, Tomoaki Nakamura, Gibran Benitez-Garcia, 2017, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA).

Methodical Analysis of Western-Caucasian and East-Asian Basic Facial Expressions of Emotions Based on Specific Facial Regions

Masahide Kaneko, Gibran Benitez-Garcia, Tomoaki Nakamura, 2017 .

Generation of Gestures During Presentation for Humanoid Robots

Tomoaki Nakamura, Takayuki Nagai, Takenori Hara, 2018, 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Facial Expression Recognition Based on Local Fourier Coefficients and Facial Fourier Descriptors

Masahide Kaneko, Gibran Benitez-Garcia, Tomoaki Nakamura, 2017 .

Multicultural Facial Expression Recognition Based on Differences of Western-Caucasian and East-Asian Facial Expressions of Emotions

Masahide Kaneko, Tomoaki Nakamura, Gibran Benitez-Garcia, 2018, IEICE Trans. Inf. Syst..

Neuro-SERKET: Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models

Masahiro Suzuki, T. Nagai, T. Taniguchi, 2019, New Generation Computing.

SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model

Tomoaki Nakamura, Takayuki Nagai, Tadahiro Taniguchi, 2017, Front. Neurorobot..

Online Algorithm for Robots to Learn Object Concepts and Language Model

Tomoaki Nakamura, Takayuki Nagai, Joe Nishihara, 2017, IEEE Transactions on Cognitive and Developmental Systems.

Online joint learning of object concepts and language model using multimodal hierarchical Dirichlet process

Tomoaki Nakamura, Takayuki Nagai, Tatsuya Aoki, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Concept formation by robots using an infinite mixture of models

Masahide Kaneko, Yoshiki Ando, Tomoaki Nakamura, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Long-term learning of concept and word by robots: Interactive learning framework and preliminary results

Tomoaki Nakamura, Takaya Araki, Takayuki Nagai, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Bag of multimodal hierarchical dirichlet processes: Model of complex conceptual structure for intelligent robots

Tomoaki Nakamura, Takayuki Nagai, Naoto Iwahashi, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Online learning of concepts and words using multimodal LDA and hierarchical Pitman-Yor Language Model

Tomoaki Nakamura, Takaya Araki, Takayuki Nagai, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Bag of multimodal LDA models for concept formation

Tomoaki Nakamura, Takayuki Nagai, Naoto Iwahashi, 2011, 2011 IEEE International Conference on Robotics and Automation.

Grounding of Word Meanings in Latent Dirichlet Allocation-Based Multimodal Concepts

Tomoaki Nakamura, Takaya Araki, Takayuki Nagai, 2011, Adv. Robotics.

Who Said That? The Crossmodal Matching Identity for Inferring Unfamiliar Faces from Voices

Tomoaki Nakamura, Takayuki Nagai, A. EscotoSoteloE., 2012, 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems.

Online Object Categorization Using Multimodal Information Autonomously Acquired by a Mobile Robot

Tomoaki Nakamura, Takaya Araki, Takayuki Nagai, 2012, Adv. Robotics.

Visual Recognition System for Cleaning Tasks by Humanoid Robots

Tomoaki Nakamura, Takaya Araki, Muhammad Attamimi, 2013 .

Robot Concept Acquisition Based on Interaction Between Probabilistic and Deep Generative Models

Takayuki Nagai, Tadahiro Taniguchi, Ryo Kuniyasu, 2021, Frontiers in Computer Science.

Mutual learning of an object concept and language model based on MLDA and NPYLM

Tomoaki Nakamura, Takayuki Nagai, Naoto Iwahashi, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Multimodal object categorization by a robot

Tomoaki Nakamura, Takayuki Nagai, Naoto Iwahashi, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Real-time 3D visual sensor for robust object recognition

Tomoaki Nakamura, Takayuki Nagai, Mikio Nakano, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots

T. Taniguchi, Tomoaki Nakamura, Akira Taniguchi, 2021, ArXiv.

Playmate robots that can act according to a child's mental state

Tomoaki Nakamura, Takayuki Nagai, Takashi Omori, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Serket: An Architecture for Constructing Large Scale Machine Learning Models

Tomoaki Nakamura, Masatoshi Nagano, 2022, Journal of the Robotics Society of Japan.

Object concept modeling based on the relationship among appearance, usage and functions

Tomoaki Nakamura, Takayuki Nagai, T. Nagai, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

2021 Special Issue on AI and Brain Science: AI-powered Brain Science A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots

T. Taniguchi, Tomoaki Nakamura, Neural Networks, 2022 .