Pursuit Reinforcement Competitive Learning: PRCL based Online Clustering with Tracking Algorithm and its Application to Image Retrieval

Arai, Kohei

doi:10.14569/ijarai.2016.050902

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…On the other hand, Question Answering for collaborative learning with answer quality prediction is created [18]. Meanwhile, Pursuit Reinforcement Competitive Learning: PRCL-based online clustering with tracking algorithm and its application to image retrieval is proposed [19] together with PRCL-based on-line clustering with learning automata [20].…”

Section: B Related Research Workmentioning

confidence: 99%

Method of Budding Detection with YOLO-based Approach for Determination of the Best Time to Plucking Tealeaves

Arai,

Kawaguchi

2024

ijacsa

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Method of budding detection with YOLO (You OnlyLook Once) for determination of the best time to plucking tealeaves is proposed. In order to get the best quality and quantity of tealeaves, it is very important to determine the best time to plucking date. It is most likely that the number of days elapsed after the budding of the tealeaves are the most effective for determine the best plucking day. Therefore, method for detect the budding is getting much important. In this paper, YOLO-based object detection is proposed. Hyperparameter of the YOLO has to be optimized. Also, a comparative study is conducted for the resolution of the cameras used for acquisition of tealeaves from a point of view for learning performance of YOLO. Through experiments, it is found that the proposed method for detection of budding is effective in terms of learning performance for getting the best quality and quantity of tealeaves harvested.

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Section: B Related Research Workmentioning

confidence: 99%

Method of Budding Detection with YOLO-based Approach for Determination of the Best Time to Plucking Tealeaves

Arai,

Kawaguchi

2024

ijacsa

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“…PRCL can be used as online clustering method. Image search application is discussed [26]. Another application is, then introduced for evacuation simulation.…”

Section: Introductionmentioning

confidence: 99%

Pursuit Reinforcement Competitive Learning: PRCL based Online Clustering with Learning Automata

Arai¹

2016

ijarai

Self Cite

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Abstract-A new online clustering method based on not only reinforcement and competitive learning but also pursuit algorithm (Pursuit Reinforcement Competitive Learning: PRCL) as well as learning automata is proposed for reaching a relatively stable clustering solution in comparatively short time duration. UCI repository data which are widely used for evaluation of clustering performance in usual is used for a comparative study among the existing conventional online clustering methods of Reinforcement Guided Competitive Learning: RGCL, Sustained RGCL: SRGCL, Vector Quantization, and the proposed PRCL. The results show that the clustering accuracy of the proposed method is superior to the conventional methods. More importantly, it is found that the proposed PRCL is much faster than the conventional methods. The proposed method is then applied to the evacuation simulation study. It is found that the proposed method is much faster than the conventional method of vector quatization to find the most appropriate evacuation route. Due to the fact that the proposed PRCL method allows finding the most appropriate evacuation route, collisions among peoples who have to evacuate for the proposed method is much less than that of vector quatization.

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Image Retrieval Method Based on Back-Projection

Arai

2019

Advances in Intelligent Systems and Computing

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Pursuit Reinforcement Competitive Learning: PRCL based Online Clustering with Tracking Algorithm and its Application to Image Retrieval

Cited by 4 publications

References 17 publications

Method of Budding Detection with YOLO-based Approach for Determination of the Best Time to Plucking Tealeaves

Method of Budding Detection with YOLO-based Approach for Determination of the Best Time to Plucking Tealeaves

Pursuit Reinforcement Competitive Learning: PRCL based Online Clustering with Learning Automata

Image Retrieval Method Based on Back-Projection

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