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Scan window based pedestrian recognition methods improvement by search space and scale reduction.

, and . Intelligent Vehicles Symposium, page 529-534. IEEE, (2014)

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Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning., , , , , and . ICCP, page 491-497. IEEE, (2019)Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images., , , , , , , and . Sensors, 20 (11): 3085 (2020)A comparative study of pedestrian detection methods using classical Haar and HoG features versus bag of words model computed from Haar and HoG features., and . ICCP, page 299-306. IEEE, (2011)The influence of hubness on nearest-neighbor methods in object recognition., , , and . ICCP, page 367-374. IEEE, (2011)Pedestrian detection in infrared images using HOG, LBP, gradient magnitude and intensity feature channels., and . ITSC, page 1669-1674. IEEE, (2014)Pedestrian detection in traffic scenes using multi-attitude classifiers., and . ITSC, page 1077-1082. IEEE, (2013)A Deep Learning Approach For Pedestrian Segmentation In Infrared Images., , , and . ICCP, page 253-258. IEEE, (2018)Scan window based pedestrian recognition methods improvement by search space and scale reduction., and . Intelligent Vehicles Symposium, page 529-534. IEEE, (2014)Hepatocellular Carcinoma Recognition from Ultrasound Images by Fusing Convolutional Neural Networks at Decision Level., , , , , and . TSP, page 238-243. IEEE, (2023)Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors., , , , and . ICCP, page 385-392. IEEE, (2015)