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Linear discriminant analysis for the small sample size problem: an overview.

A. Sharma, und K. Paliwal. Int. J. Machine Learning & Cybernetics, 6 (3): 443-454 (2015)

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Grzegorz K. Karch

Dipl.-Ing. Thomas Kuestner

Scan time reduction in DWI of the pancreas using simultaneous multislice technique with different acceleration factors: how fast can we go?J. Taron, P. Martirosian, T. Küstner, M. Notohamiprodjo, J. Weiß, A. Othman, K. Nikolaou, und C. Schraml. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Scan time reduction in DWI of the pancreas using simultaneous multislice technique with different acceleration factors: how fast can we go?J. Taron, P. Martirosian, T. Küstner, M. Notohamiprodjo, J. Weiß, A. Othman, K. Nikolaou, und C. Schraml. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)The use of a generalized reconstruction by inversion of coupled systems (GRICS) approach for generic respiratory motion correction in PET/MR imagingH. Fayad, F. Odille, H. Schmidt, C. Würslin, T. Küstner, J. Felblinger, und D. Visvikis. Physics in medicine and biology, 60 (6): 2529-46 (März 2015)In-vivo MR-derived non-rigid motion correction of simultaneously acquired PETT. Küstner, C. Würslin, S. Gatidis, P. Martirosian, N. Schwenzer, B. Yang, und H. Schmidt. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Toronto, Canada, (Juni 2015)

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A two-stage linear discriminant analysis for face-recognition.A. Sharma, und K. Paliwal. Pattern Recognition Letters, 33 (9): 1157-1162 (2012)Quadtree-based classification in subband image coding.F. Golchin, und K. Paliwal. Digital Signal Processing, 13 (4): 656-668 (2003)Intrusion detection using text processing techniques with a kernel based similarity measure.A. Sharma, A. Pujari, und K. Paliwal. Computers & Security, 26 (7-8): 488-495 (2007)Use of speech presence uncertainty with MMSE spectral energy estimation for robust automatic speech recognition.A. Stark, und K. Paliwal. Speech Communication, 53 (1): 51-61 (2011)Further intelligibility results from human listening tests using the short-time phase spectrum.L. Alsteris, und K. Paliwal. Speech Communication, 48 (6): 727-736 (2006)Improving objective intelligibility prediction by combining correlation and coherence based methods with a measure based on the negative distortion ratio.A. Gomez, B. Schwerin, und K. Paliwal. Speech Communication, 54 (3): 503-515 (2012)Scalable distributed speech recognition using Gaussian mixture model-based block quantisation.S. So, und K. Paliwal. Speech Communication, 48 (6): 746-758 (2006)Special issue on Speech Enhancement.P. Loizou, I. Cohen, S. Gannot, und K. Paliwal. Speech Communication, 49 (7-8): 527-529 (2007)Cepstrum derived from differentiated power spectrum for robust speech recognition.J. Chen, K. Paliwal, und S. Nakamura. Speech Communication, 41 (2-3): 469-484 (2003)Polynomial features for robust face authentication.C. Sanderson, und K. Paliwal. ICIP (3), Seite 997-1000. (2002)