Search Results - "Orihara, Ryohei"

Computed tomography image reconstruction using stacked U-Net by Mizusawa, Satoru, Sei, Yuichi, Orihara, Ryohei, Ohsuga, Akihiko

“…[Display omitted] •A model of CT reconstruction was constructed using stacked U-Net.•Use ImageNet, an open dataset of non-medical images, as training…”
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A Comprehensive Big-Data-Based Monitoring System for Yield Enhancement in Semiconductor Manufacturing by Nakata, Kouta, Orihara, Ryohei, Mizuoka, Yoshiaki, Takagi, Kentaro

“…In this paper, we focus on yield analysis task where engineers identify the cause of failure from wafer failure map patterns and manufacturing histories. We…”
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“Never fry carrots without chopping” Generating Cooking Recipes from Cooking Videos Using Deep Learning Considering Previous Process by Fujii, Tatsuki, Sei, Yuichi, Tahara, Yasuyuki, Orihara, Ryohei, Ohsuga, Akihiko

“…Research on deep-training captioning models that modify the natural-language contents of images and moving images has produced considerable results and…”
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Do You Like Sclera? Sclera-region Detection and Colorization for Anime Character Line Drawings by Aizawa, Masashi, Sei, Yuichi, Tahara, Yasuyuki, Orihara, Ryohei, Ohsuga, Akihiko

“…Colorizing line drawings requires special skill, experience, and knowledge. Artists also spend a great deal of time and effort creating art. Given this…”
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Applications of AI Technologies in Flash Memory Business by Orihara, Ryohei

“…In semiconductor manufacturing, major issues include automation of the operation, expansion of the production scale, and cost reduction and competitiveness…”
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A comprehensive "big-data-based" monitoring system for yield enhancement in semiconductor man ufacturing by Nakata, Kouta, Orihara, Ryohei, Mizuoka, Yoshiaki, Takagi, Kentaro

“…In this work, we focus on yield analysis task where engineers identify the cause of failure from wafer failure map patterns and manufacturing histories. We…”
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Hollowed-Out Icon Colorization with Controllable Diffusion Model by Miyauchi, Koki, Orihara, Ryohei, Sei, Yuichi, Tahara, Yasuyuki, Ohsuga, Akihiko

“…Icons are indispensable elements for websites and smartphone applications. In design support, some methods utilizing deep learning for the coloring of…”
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Analysis of Conditional Image Generation Methods Using Color Palettes in Animal Personification Task by Xu, Jianglin, Orihara, Ryohei, Sei, Yuichi, Tahara, Yasuyuki, Ohsuga, Akihiko

“…With the advent of large-scale pre-trained open-source diffusion models, image generation is now easily accessible to non-researchers. However, although…”
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Fake News Detection with Generated Comments for News Articles by Yanagi, Yuta, Orihara, Ryohei, Sei, Yuichi, Tahara, Yasuyuki, Ohsuga, Akihiko

“…Recently, fake news is shared via social networks and makes wrong rumors more diffusible. This problem is serious because the wrong rumor sometimes make social…”
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Versatile Automatic Piano Reduction Generation System by Deep Learning by Hoshi, Yuki, Orihara, Ryohei, Sei, Yuichi, Tahara, Yasuyuki, Ohsuga, Akihiko

“…Piano reduction is a sheet music that is arranged for piano performance while retaining as much information as possible on a song composed of multiple parts,…”
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Prosody Transfer from a Small Amount of Voice using Fine Tuning by Tokushima, Taiga, Orihara, Ryohei, Sei, Yuichi, Tahara, Yasuyuki, Ohsuga, Akihiko

“…Text-to-Speech(TTS) is a technology that generates corresponding speech from textual input. A large amount of audio data is needed to build a TTS model…”
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Why Do Users Choose a Hotel over Others? Review Analysis Using Interpretation Method of Machine Learning Models by Onogawa, Takayuki, Orihara, Ryohei, Sei, Yuichi, Tahara, Yasuyuki, Ohsuga, Akihiko

“…To date, existing research has attempted to extract user opinions relating to products and services by differentiating the products and services through their…”
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Model Smoothing Using Virtual Adversarial Training for Speech Emotion Estimation by Kuwahara, Toyoaki, Sei, Yuichi, Tahara, Yasuyuki, Orihara, Ryohei, Ohsuga, Akihiko

“…Emotion estimation by speech increase precision through the development of deep learning. However, most of the emotion estimation using deep learning involves…”
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Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks by Imai, Shota, Sei, Yuichi, Tahara, Yasuyuki, Orihara, Ryohei, Ohsuga, Akihiko

“…In deep reinforcement learning, it is difficult to converge when the exploration is insufficient or a reward is sparse. Besides, on specific tasks, the amount…”
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Do You Like the Sclera?: Sclera-Region Detection in Line Drawings for Automated Colorization by Aizawa, Masashi, Sei, Yuichi, Tahara, Yasuyuki, Orihara, Ryohei, Ohsuga, Akihiko

“…Colorizing line drawings requires special skill, experience, and knowledge. Artists also spend a lot of time and effort creating artwork. Recently, given this…”
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"Never fry carrots without cutting." Cooking Recipe Generation from Videos Using Deep Learning Considering Previous Process by FUJII, Tatsuki, SEI, Yuichi, TAHARA, Yasuyuki, ORIHARA, Ryohei, OHSUGA, Akihiko

“…Research on captioning that modifies the contents of images and moving images with natural language using deep training has had considerable results and…”
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Approximation of Time-Consuming Simulation Based on Generative Adversarial Network by Orihara, Ryohei, Narasaki, Ryota, Yoshinaga, Yuma, Morioka, Yasuhiro, Kokojima, Yoshiyuki

“…A simulation model often has parameters to be calibrated through evaluation against data obtained by experiments. The process could be prohibitively expensive…”
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Classification Model Learning for Bulletin Board Site Analysis Based on Unbalanced Textual Examples by Sakurai, S., Orihara, R.

“…This paper proposes a method that acquires a more appropriate classification model for label extraction. The model can extract specific labels from articles…”
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Classification of Bloggers Using Social Annotations by Sakurai, S., Tsutsui, H., Orihara, R.

“…This paper proposes a method that classifies bloggers according to their interests. The method calculates three kinds of similarities. That is, the method…”
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Sequential pattern mining based on a new criteria and attribute constraints by Sakurai, S., Kitahara, Y., Orihara, R.

“…This paper proposes the sequential interestingness as a new evaluation criterion that evaluates a sequential pattern corresponding to the interests of…”
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