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Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection.

, , , , , and . INTERSPEECH, page 3279-3283. ISCA, (2018)

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Model-based compression of nonstationary landmark shape sequences., and . ICIP, page 1168-1171. IEEE, (2008)Urban Sound & Sight: Dataset And Benchmark For Audio-Visual Urban Scene Understanding., , , , , , , , , and 1 other author(s). ICASSP, page 141-145. IEEE, (2022)Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection., , , , , and . INTERSPEECH, page 3279-3283. ISCA, (2018)Improving egocentric vision of daily activities., , and . ICIP, page 2562-2566. IEEE, (2015)Tracking sparse signal sequences from nonlinear/non-Gaussian measurements and applications in illumination-motion tracking., , and . ICASSP, page 6615-6619. IEEE, (2013)Detecting Parkinsons' symptoms in uncontrolled home environments: A multiple instance learning approach., , , and . EMBC, page 3688-3691. IEEE, (2012)CMU-UCR-BOSCH @ TRECVID 2017: VIDEO TO TEXT RETRIEVAL., , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2017)Quantitative measurement of motor symptoms in Parkinson's disease: A study with full-body motion capture data., , , , , , and . EMBC, page 6789-6792. IEEE, (2011)Very Deep Convolutional Neural Networks for Raw Waveforms., , , , and . CoRR, (2016)Synthetic Aperture Acoustic Imaging with Deep Generative Model Based Source Distribution Prior., and . ICASSP, page 1420-1424. IEEE, (2021)