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Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction.

, , , , и . ACPR, стр. 430-435. IEEE Computer Society, (2017)

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Hironobu Sakuma

 

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Recognition of Listener's Nodding by LSTM Based on Movement of Facial Keypoints and Speech Intonation., , , и . HCI (34), том 1033 из Communications in Computer and Information Science, стр. 154-160. Springer, (2019)Robust object tracking using a context based on the relation of object and background., и . ICASSP, стр. 1788-1792. IEEE, (2013)Facial point detection using convolutional neural network transferred from a heterogeneous task., , , и . ICIP, стр. 2725-2729. IEEE, (2015)Embedding Human Knowledge in Deep Neural Network via Attention Map., , , , , , и . CoRR, (2019)A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model., , , и . MVA, стр. 19-22. (2000)Coarse-to-Fine Deep Orientation Estimator for Local Image Matching., , , и . ACPR (1), том 12046 из Lecture Notes in Computer Science, стр. 378-390. Springer, (2019)Classifier Introducing Transition Likelihood Model Based on Quantization Residual., , и . ACPR, стр. 272-277. IEEE, (2013)Acquisition of 3D gaze information from eyeball movements using inside-out camera., и . AH, стр. 6. ACM, (2011)Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction., , , , и . ACPR, стр. 430-435. IEEE Computer Society, (2017)Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles., , , , и . IV, стр. 1026-1032. IEEE, (2022)