On 17th November 2017, Mr. Yuta Arima (Ph.D. candidate), Department of Electrical Engineering and Information Systems, elected as one of eight finalists in the selection of the Best Student Paper award from ICONIP 2017.
I was elected as one of eight finalists in the selection of the best award from many student papers in ICONIP which is one of the three major international conferences of neural networks.
<About awarded research>
Paper: “Improvement of Texture Clustering Performance in Complex-valued SOM by using Complex-valued Auto-encoder for Millimeter-wave Coherent Imaging”
This paper shows that a complex-valued auto-encoder is extremely useful in extracting features appropriately even under the influence of interference and it works effectively for the complex-valued self-organizing map classification in the millimeter-wave coherent imaging system.
I am honored and appreciated to be elected as a candidate for a best student paper award at a great international conference. I did not reach the prize, but I would like to be encouraged this to make further efforts further.