Shogo Nagasaka

发表

Double articulation analyzer for unsegmented human motion using Pitman-Yor language model and infinite hidden Markov model

Tadahiro Taniguchi, Shogo Nagasaka, T. Taniguchi, 2011, 2011 IEEE/SICE International Symposium on System Integration (SII).

Direct word discovery from speech signals based on hierarchical Dirichlet process-hidden language model and deep sparse autoencoder

Tadahiro Taniguchi, Shogo Nagasaka, Ryo Nakashima, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Contextual scene segmentation of driving behavior based on double articulation analyzer

Tadahiro Taniguchi, Kentarou Hitomi, Takashi Bando, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Drive video summarization based on double articulation structure of driving behavior

Tadahiro Taniguchi, Takashi Bando, Shogo Nagasaka, 2012, ACM Multimedia.

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.

Prediction of Next Contextual Changing Point of Driving Behavior Using Unsupervised Bayesian Double Articulation Analyzer

Tadahiro Taniguchi, Kentarou Hitomi, Takashi Bando, 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

Generating contextual description from driving behavioral data

Tadahiro Taniguchi, Takashi Bando, Shogo Nagasaka, 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition From Continuous Speech Signals

Tadahiro Taniguchi, Shogo Nagasaka, Ryo Nakashima, 2015, IEEE Transactions on Cognitive and Developmental Systems.

Semiotic prediction of driving behavior using unsupervised double articulation analyzer

Tadahiro Taniguchi, Kentarou Hitomi, Naiwala P. Chandrasiri, 2012, 2012 IEEE Intelligent Vehicles Symposium.

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 concept and word learning using phoneme sequences with errors

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

Sequence Prediction of Driving Behavior Using Double Articulation Analyzer

Tadahiro Taniguchi, Kentarou Hitomi, Naiwala P. Chandrasiri, 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Encouraging User Interaction of Social Network through Tweet Recommendation Using Community Structure

Tadahiro Taniguchi, Shogo Nagasaka, Toshiaki Takano, 2013 .

Encouraging User Interaction of Social Network through Tweet Recommendation Using Community Structure

Tadahiro Taniguchi, Shogo Nagasaka, Toshiaki Takano, 2013, 2013 Conference on Technologies and Applications of Artificial Intelligence.

Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points

Tadahiro Taniguchi, Kentarou Hitomi, Takashi Bando, 2015, IEEE Transactions on Intelligent Transportation Systems.

Automatic drive annotation via multimodal latent topic model

Tadahiro Taniguchi, Takashi Bando, Shogo Nagasaka, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Finding Meaningful Robust Chunks from Driving Behavior Based on Double Articulation Analyzer

Tadahiro Taniguchi, Kentarou Hitomi, Takashi Bando, 2013 .

Double articulation analyzer with deep sparse autoencoder for unsupervised word discovery from speech signals

Tadahiro Taniguchi, Hailong Liu, Shogo Nagasaka, 2016, Adv. Robotics.

Unsupervised drive topic finding from driving behavioral data

Tadahiro Taniguchi, Takashi Bando, Shogo Nagasaka, 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).