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Efficient object recognition method based on hierarchical representation.

, , , , and . ROBIO, page 358-363. IEEE, (2013)

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Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases., , , , , and . I2MTC, page 1-5. IEEE, (2016)Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis., , , , , and . Neurocomputing, (2018)Health Status Identification of Connecting Rod Bearing Based on Support Vector Machine., , , , and . CCTA (4), volume 347 of IFIP Advances in Information and Communication Technology, page 206-214. Springer, (2010)Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis., , , , and . IEEE Trans. Instrumentation and Measurement, 68 (2): 450-461 (2019)Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis., , , , and . IEEE Trans. Instrumentation and Measurement, 68 (8): 2819-2829 (2019)A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings., , , and . IEEE Trans. Automation Science and Engineering, 15 (4): 1563-1572 (2018)Efficient object recognition method based on hierarchical representation., , , , and . ROBIO, page 358-363. IEEE, (2013)Adaptive discrete curve evolution for shape recognition., , , , and . ROBIO, page 481-486. IEEE, (2014)A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions., , , , and . IEEE Access, (2019)Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings., , , , and . IEEE Access, (2019)