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Joint Clustering and Classification for Multiple Instance Learning.

, , and . BMVC, page 71.1-71.12. BMVA Press, (2015)

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A Unified Bayesian Framework for Sparse Non-negative Matrix Factorization, , , , , and . (2016)cite arxiv:1604.02181v1.pdfComment: Submitted to IEEE Transactions on Signal Processing.Improved Noise Characterization for Relative Impulse Response Estimation., , , and . ICASSP, page 411-415. IEEE, (2018)A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem., , , , , and . Signal Process., (2018)Robust Non-negative Block Sparse Coding for Acoustic Novelty Detection., , and . DCASE, page 74-78. (2019)Personalized PercepNet: Real-Time, Low-Complexity Target Voice Separation and Enhancement., , , , and . Interspeech, page 1124-1128. ISCA, (2021)A Framework for Unified Real-Time Personalized and Non-Personalized Speech Enhancement., , , , , and . ICASSP, page 1-5. IEEE, (2023)A hybrid evolutionary direct search technique for solving Optimal Control problems., , , , and . HIS, page 125-130. IEEE, (2010)A fitness-based adaptation scheme for control parameters in differential evolution., , , , and . GECCO (Companion), page 2075-2076. ACM, (2010)Type I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures., and . CoRR, (2015)Type I and Type II Bayesian Methods for Sparse Signal Recovery Using Scale Mixtures., and . IEEE Trans. Signal Process., 64 (13): 3418-3428 (2016)