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Integrating Multiscale Deformable Part Models and Convolutional Networks for Pedestrian Detection.

, , and . VEHITS, page 515-521. SCITEPRESS, (2020)

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Multi-Trajectory Prediction of Pedestrian Based on Deep Neural Network Architecture., , and . ICKII, page 492-496. IEEE, (2023)Image Quality Assessment for Map-Merge Quality Evaluation., , , and . ICCE, page 1-6. IEEE, (2024)An ensemble approach to activity recognition based on binary sensor readings., and . Healthcom, page 1-5. IEEE, (2017)Swimming Activity Recognition Based on Slow Intelligence Systems., and . SEKE, page 273-276. Knowledge Systems Institute Graduate School, (2013)Impact of Perception Errors in Vision-Based Detection and Tracking Pipelines on Pedestrian Trajectory Prediction in Autonomous Driving Systems., , , , and . Sensors, 24 (15): 5066 (August 2024)Foreign Is Not Unfamiliar. A Translation Impact Study Involving Taiwan Subjects, , and . Meta, 54 (2): 342--356 (2009)A Double Layer Dementia Diagnosis System Using Machine Learning Techniques., and . EANN, volume 311 of Communications in Computer and Information Science, page 402-412. Springer, (2012)Intelligent ontological agent for diabetic food recommendation., , , and . FUZZ-IEEE, page 1803-1810. IEEE, (2008)Integrating Multiscale Deformable Part Models and Convolutional Networks for Pedestrian Detection., , and . VEHITS, page 515-521. SCITEPRESS, (2020)A Novel Multi-agent Framework for the Design of Home Automation., and . ITNG, page 277-281. IEEE Computer Society, (2007)