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Mark D. Plumbley: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Samer A. Abdallah, Mark D. Plumbley
    Application of Geometric Dependency Analysis to the Separation of Convolved Mixtures. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:540-547 [Conf]
  2. Maria G. Jafari, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies
    Sparse Coding for Convolutive Blind Audio Source Separation. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:132-139 [Conf]
  3. Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley
    Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:295-302 [Conf]
  4. Emmanuel Vincent, Mark D. Plumbley
    Single-Channel Mixture Decomposition Using Bayesian Harmonic Models. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:722-730 [Conf]
  5. Mark D. Plumbley
    Optimization Using Fourier Expansion over a Geodesic for Non-negative ICA. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:49-56 [Conf]
  6. Mark D. Plumbley
    Lie Group Methods for Optimization with Orthogonality Constraints. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:1245-1252 [Conf]
  7. Mark D. Plumbley
    Recovery of Sparse Representations by Polytope Faces Pursuit. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:206-213 [Conf]
  8. Ian Johnson, Mark D. Plumbley
    On-Line Connectionist Q-Learning Produces Unreliable Performance with A Synonym Finding Task. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:451-458 [Conf]
  9. Samer M. Abdallah, Mark D. Plumbley
    Polyphonic transcription by non-negative sparse coding of power spectra. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2004, pp:- [Conf]
  10. Paul Brossier, Juan Pablo Bello, Mark D. Plumbley
    Fast labelling of notes in music signals. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2004, pp:- [Conf]
  11. Matthew Davies, Mark D. Plumbley
    Causal Tempo Tracking of Audio. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2004, pp:- [Conf]
  12. Mark D. Plumbley, Samer A. Abdallah, Juan Pablo Bello, Mike E. Davies, Giuliano Monti, Mark B. Sandler
    Automatic Music Transcription and Audio Source Separation. [Citation Graph (0, 0)][DBLP]
    Cybernetics and Systems, 2002, v:33, n:6, pp:603-627 [Journal]
  13. Mark D. Plumbley
    Geometrical methods for non-negative ICA: Manifolds, Lie groups and toral subalgebras. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:67, n:, pp:161-197 [Journal]
  14. G. E. Robbins, Mark D. Plumbley, John C. Hughes, Frank Fallside, Richard W. Prager
    Generation and Adaptation of Neural Networks by Evolutionary Techniques (GANNET). [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1993, v:1, n:1, pp:23-31 [Journal]
  15. Erkki Oja, Mark D. Plumbley
    Blind Separation of Positive Sources by Globally Convergent Gradient Search. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:9, pp:1811-1825 [Journal]
  16. Mark D. Plumbley
    Efficient information transfer and anti-Hebbian neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:6, pp:823-833 [Journal]
  17. Mark D. Plumbley
    Lyapunov functions for convergence of principal component algorithms. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:1, pp:11-23 [Journal]
  18. Mark D. Plumbley, Samer A. Abdallah, Thomas Blumensath, Michael E. Davies
    Sparse representations of polyphonic music. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2006, v:86, n:3, pp:417-431 [Journal]
  19. Andrew Nesbit, Mark D. Plumbley, Mike E. Davies
    Audio source separation with a signal-adaptive local cosine transform. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:8, pp:1848-1858 [Journal]
  20. Emmanuel Vincent, Rémi Gribonval, Mark D. Plumbley
    Oracle estimators for the benchmarking of source separation algorithms. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:8, pp:1933-1950 [Journal]

  21. Dictionary Learning for L1-Exact Sparse Coding. [Citation Graph (, )][DBLP]

  22. A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation. [Citation Graph (, )][DBLP]

  23. The Role of High Frequencies in Convolutive Blind Source Separation of Speech Signals. [Citation Graph (, )][DBLP]

  24. SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms. [Citation Graph (, )][DBLP]

  25. Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis. [Citation Graph (, )][DBLP]

  26. Extension of Sparse, Adaptive Signal Decompositions to Semi-blind Audio Source Separation. [Citation Graph (, )][DBLP]

  27. Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix. [Citation Graph (, )][DBLP]

  28. Oracle estimation of adaptive cosine packet transforms for underdetermined audio source separation. [Citation Graph (, )][DBLP]

  29. Using phase linearity in frequency-domain ICA to tackle the permutation problem. [Citation Graph (, )][DBLP]

  30. Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation. [Citation Graph (, )][DBLP]

  31. Information dynamics: patterns of expectation and surprise in the perception of music. [Citation Graph (, )][DBLP]

  32. Polar Polytopes and Recovery of Sparse Representations [Citation Graph (, )][DBLP]

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