K. Hiramatsu

Understanding Community Structure in Layered Neural Networks

Kunio Kashino, Chihiro Watanabe, Kaoru Hiramatsu, 2018, Neurocomputing.

Generative adversarial network-based postfilter for statistical parametric speech synthesis

Hirokazu Kameoka, Kunio Kashino, Takuhiro Kaneko, 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks

Kunio Kashino, Takuhiro Kaneko, Kaoru Hiramatsu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Generative Adversarial Image Synthesis with Decision Tree Latent Controller

Kunio Kashino, Takuhiro Kaneko, Kaoru Hiramatsu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

A simple probabilistic analysis of sensor data fluctuations in the real world

Takashi Hattori, Takeshi Okadome, Kaoru Hiramatsu, 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).

Toward Acquiring Situations in Sensor Networked Environments

Kaoru Hiramatsu, Y. Yanagisawa, T. Okadome, 2006 .

Project pervasive association : Toward acquiring situations in sensor networked environments

Takashi Hattori, Takeshi Okadome, Yutaka Yanagisawa, 2006 .

Finding Small Changes using Sensor Networks

T. Okadome, T. Hattori, Tatsumi Yamada, 2005 .

Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks

Kunio Kashino, Takuhiro Kaneko, Kaoru Hiramatsu, 2016, ACM Multimedia.

Ichigen-San: An Ontology-Based Information Retrieval System

Bijan Parsia, Evren Sirin, Takashi Hattori, 2006, APWeb.

Modular representation of layered neural networks

Kunio Kashino, Chihiro Watanabe, Kaoru Hiramatsu, 2017, Neural Networks.

Contrast-accumulated histogram equalization for image enhancement

Kunio Kashino, Xinhao Liu, Xiaomeng Wu, 2017, 2017 IEEE International Conference on Image Processing (ICIP).