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Recognizing driving postures by combined features of contourlet transform and edge orientation histogram, and random subspace classifier ensembles.

, , , , and . J. Intell. Fuzzy Syst., 27 (4): 2011-2021 (2014)

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Infrared Detection of Small-Moving Targets Using Spatial Local Vector Difference and Temporal Sample Consensus Measures., , , , and . IEEE Access, (2022)Classification of Vehicle Make by Combined Features and Random Subspace Ensemble., and . ICIG, page 920-925. IEEE Computer Society, (2011)Erratum to: Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers., , , , and . Neural Comput. Appl., 22 (Supplement-1): 185 (2013)Vehicle detection in urban traffic scenes using the Pixel-Based Adaptive Segmenter with Confidence Measurement., , , and . J. Intell. Fuzzy Syst., 31 (3): 1609-1620 (2016)Recognizing driving postures by combined features of contourlet transform and edge orientation histogram, and random subspace classifier ensembles., , , , and . J. Intell. Fuzzy Syst., 27 (4): 2011-2021 (2014)Classification of driver fatigue expressions by combined curvelet features and gabor features, and random subspace ensembles of support vector machines., , , and . J. Intell. Fuzzy Syst., 26 (1): 91-100 (2014)Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers., , , , and . Neural Comput. Appl., 22 (Supplement-1): 175-184 (2013)Classification of vehicle types using fused deep convolutional neural networks., , , , , , , , and . J. Intell. Fuzzy Syst., 42 (6): 5125-5137 (2022)