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Deep sparse feature selection for computer aided endoscopy diagnosis.

, , , , , and . Pattern Recognit., 48 (3): 907-917 (2015)

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Deep Learning-Based Online Small Signal Stability Assessment of Power Systems with Renewable Generation., and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 216-221. IEEE, (2018)Session 25 - 20 Gb/s transmitters and receivers., and . CICC, page 1. IEEE, (2015)A 90-dB SNR 2.5-MHz output-rate ADC using cascaded multibit delta-sigma modulation at 8× oversampling ratio., , , , , , and . IEEE J. Solid State Circuits, 35 (12): 1820-1828 (2000)FDM: fast dense matching based on sparse matching., , and . Signal Image Video Process., 14 (2): 295-303 (2020)Deep sparse feature selection for computer aided endoscopy diagnosis., , , , , and . Pattern Recognit., 48 (3): 907-917 (2015)Towards Developing Computer Vision Algorithms and Architectures for Real-world Applications.. Arizona State University, Tempe, USA, (2018)base-search.net (ftarizonastateun:item:51662).Considerations of the Paradigms of Urban Design Teaching Application about Big Data., , , and . ISBDAI, page 48-52. ACM, (2018)A Bayesian Approach to Residential Property Valuation Based on Built Environment and House Characteristics., , , , , , and . IEEE BigData, page 1455-1464. IEEE, (2018)Discovering dynamic patterns of urban space via semi-nonnegative matrix factorization., , , and . IEEE BigData, page 3447-3453. IEEE Computer Society, (2017)Structural state assessment based on similarity degree of membership cloud., , and . FSKD, page 1133-1137. IEEE, (2010)