Search Results - "Miwa, Shotaro"

Core–Shell–Corona Micelles from a Polyether-Based Triblock Terpolymer: Investigation of the pH-Dependent Micellar Structure by Miwa, Shotaro, Takahashi, Rintaro, Rössel, Carsten, Matsumoto, Sakiko, Fujii, Shota, Lee, Ji Ha, Schacher, Felix H, Sakurai, Kazuo

“…Core–shell-corona micelles featuring a pH-responsive shell have been characterized in dilute aqueous solution at different pH values (4–8) by using dynamic…”
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Robust Face Detection Using One-Class Estimation and Real AdaBoost by Miwa, Shotaro, Hirai, Takashi, Sumi, Kazuhiko

“…SUMMARY We propose a robust face detection algorithm using one‐class estimation and Real AdaBoost. Inspired by the first practical face detection algorithm by…”
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Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation by Taghian, Mehran, Miwa, Shotaro, Mitsuka, Yoshihiro, Günther, Johannes, Golestan, Shadan, Zaiane, Osmar

“…A key component to the recent success of reinforcement learning is the introduction of neural networks for representation learning. Doing so allows for solving…”
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Interpretable Navigation Agents Using Attention-Augmented Memory by Qu, Jia, Miwa, Shotaro, Domae, Yukiyasu

“…Deep reinforcement learning (DRL) has achieved remarkable success in various domains, from games to complex tasks. In several DRL applications, the agents must…”
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Addressing the Impact of Message-Passing Topology in GNN RL by Suzuki, Kei, Miwa, Shotaro

“…Graph Neural Network Reinforcement Learning (GNN RL) has been widely used in robotic control applications. In designing GNN RL for robots, while kinematic…”
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Context-based robust face detection algorithm for surveillance cameras by Miwa, Shotaro, Kage, Hiroshi, Sumi, Kazuhiko

“…This paper describes a context‐based robust face detection algorithm for surveillance cameras. Different from familiar faces captured by digital cameras, faces…”
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Learning Landmark-Oriented Subgoals for Visual Navigation Using Trajectory Memory by Qu, Jia, Miwa, Shotaro, Domae, Yukiyasu

“…In many deep reinforcement learning (DRL) applications, agents must perform complex and long-horizon tasks that are still challenging in DRL because of…”
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Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms by Schoepp, Sheila, Taghian, Mehran, Miwa, Shotaro, Mitsuka, Yoshihiro, Golestan, Shadan, Zaïane, Osmar

“…Industry is rapidly moving towards fully autonomous and interconnected systems that can detect and adapt to changing conditions, including machine hardware…”
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Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model by Saito, Issei, Nakamura, Tomoaki, Hatta, Toshiyuki, Fujita, Wataru, Watanabe, Shintaro, Miwa, Shotaro

“…Evolving consumer demands and market trends have led to businesses increasingly embracing a production approach that prioritizes flexibility and customization…”
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Unsupervised Work Behavior Analysis Using Hierarchical Probabilistic Segmentation by Saito, Issei, Nakamura, Tomoaki, Hatta, Toshiyuki, Fujita, Wataru, Watanabe, Shintaro, Miwa, Shotaro

“…Workers' behavior should be analyzed to improve their efficiency and that of cell production systems. However, traditional approaches and supervised learning…”
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