Miguel A. Carreira-Perpinan: Papers

Journals

• Carreira-Perpinan, M. A.: "Reconstruction of sequential data with density models and continuity constraints". Submitted.

• Carreira-Perpinan, M. A., Lister, R. J., and Goodhill, G. J.: "A computational model for the development of multiple maps in primary visual cortex". Submitted.

• Carreira-Perpinan, M. A. and Goodhill, G. J.: "Generalized elastic nets". Submitted.

• Carreira-Perpinan, M. A. and Goodhill, G. J. (2004): "The influence of lateral connections on the structure of cortical maps". J. Neurophysiology (in press).

• Carreira-Perpinan, M. A. and Goodhill, G. J. (2002): "Are visual cortex maps optimized for coverage?". Neural Computation 14(7):1545-1560.
  [external link] [paper preprint]

• Carreira-Perpinan, M. A. (2000): "Mode-finding for mixtures of Gaussian distributions". IEEE Trans. on Pattern Analysis and Machine Intelligence 22(11):1318-1323.
  [external link] [paper preprint] [© IEEE] [extended technical report version] [Matlab implementation]

• Carreira-Perpinan, M. A. and Renals, S. (1999): "Practical identifiability of finite mixtures of multivariate Bernoulli distributions". Neural Computation 12(1):141-152.
  [external link] [paper preprint] [Matlab implementation]

• Carreira-Perpinan, M. A. and Renals, S. (1998): "Dimensionality reduction of electropalatographic data using latent variable models". Speech Communication 26(4):259-282.
  [external link] [paper preprint] [supplementary information]

Conference Proceedings

• He, X., Zemel, R. S., and Carreira-Perpinan, M. A. (2004): "Multiscale conditional random fields for image labelling". IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2004), pp. 695-702, Washington, DC, 27 June - 2 July 2004.
  [external link] [paper preprint] [© IEEE]

• Carreira-Perpinan, M. A. and Williams, C. K. I. (2003): "On the number of modes of a Gaussian mixture" (2003). Scale-Space Methods in Computer Vision, pp. 625-640, Lecture Notes in Computer Science vol. 2695, Springer-Verlag.
  [external link] [paper preprint] [© Springer-Verlag] [extended technical report version] [supplementary information]

• Carreira-Perpinan, M. A. and Goodhill, G. J. (2001): "The effect of variable elastic topologies on the structure of ocular dominance and orientation maps". Society for Neuroscience abstracts, 27, 475.21.
  [external link] [poster] [supplementary information]

• Carreira-Perpinan, M. A. (2000): "Reconstruction of sequential data with probabilistic models and continuity constraints". Advances in Neural Information Processing Systems 12 (NIPS'99), pp. 414-420.
  [external link] [paper preprint] [slides]

• Carreira-Perpinan, M. A. and Renals, S. (1999): "A latent variable modelling approach to the acoustic-to-articulatory mapping problem". Proc. of the 14th International Congress of Phonetic Sciences (ICPhS'99), pp. 2013-2016, San Francisco, USA, 1-7 August 1999.
  [external link] [paper preprint] [slides]

• Carreira-Perpinan, M. A. (1999): "One-to-many mappings, continuity constraints and latent variable models". Proc. of the 1999 IEE Colloquium on Applied Statistical Pattern Recognition, Birmingham, UK.
  [external link] [paper preprint] [slides]

• Carreira-Perpinan, M. A. and Renals, S. (1998): "Experimental evaluation of latent variable models for dimensionality reduction". Proc. of the 1998 IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing (NNSP98), pp. 165-173, Cambridge, UK.
  [external link] [paper preprint] [© IEEE] [slides]

• Carreira-Perpinan, M. A. (1994): "The modelling of the thermal subsystem in spacecraft real-time simulators". Proc. of the 3rd Workshop on Simulators for European Space Programmes, pp. 69-78, ESA/ESTEC, Noordwijk, The Netherlands.
  [abstract] [paper] [slides]

Book Chapters

• Carreira-Perpinan, M. A. and Goodhill, G. J. (2002): "Development of columnar structures in primary visual cortex". Invited chapter in Computational Neuroanatomy: Principles and Methods (G. A. Ascoli, ed.), Humana Press, pp. 337-357.
  [external link] [paper preprint]
  This contains a review of data and models for visual cortical maps, with an emphasis on the elastic net.

• Goodhill, G. J. and Carreira-Perpinan, M. A. (2002): "Cortical Columns". Invited article in the Encyclopedia of Cognitive Science (L. Nadel, ed.), Macmillan, vol. 1, pp. 845-851.
  [external link] [paper preprint]
  This contains a review of columnar systems in the cortex, in particular in the visual cortex (maps of ocular dominance, orientation, etc.).

Theses

• Carreira-Perpinan, M. A. (2001): Continuous latent variable models for dimensionality reduction and sequential data reconstruction. PhD thesis, University of Sheffield, UK.
  [abstract] [paper PDF] [paper PS] [list of all references (.tar.gz, BibTeX)]
  The following chapters, available separately, contain tutorial material:

  • Chapter 2: The continuous latent variable modelling formalism.
    This contains a review of continuous latent variable models: probabilistic principal component analysis (PCA), factor analysis, the generative topographic mapping (GTM), independent component analysis (ICA), mixtures of latent variable models, etc. It also deals with issues such as parameter estimation, identifiability, interpretability, visualisation, and dimensionality reduction with continuous latent variable models.
    [paper PDF] [paper PS]
  • Chapter 4: Dimensionality reduction.
    This contains a review of dimensionality reduction with nonprobabilistic methods (probabilistic methods, i.e., latent variable models, are reviewed in chapter 2): nonlinear autoassociators, kernel PCA, principal curves, vector quantisation, multidimensional scaling, Isomap, LLE, etc. It also reviews issues such as the curse of dimensionality and the intrinsic dimensionality.
    [paper PDF] [paper PS]
  • Chapter 6: Inverse problems and mapping inversion.
    This contains a review of inverse problem theory and its methods (Bayesian and nonprobabilistic), and its relation with latent variable models.
    [paper PDF] [paper PS]
  • Chapter 10 (partially): The acoustic-to-articulatory mapping problem.
    This contains a review of the acoustic-to-articulatory mapping problem of speech research (the recovery of the acoustic waveform given the vocal tract configuration), emphasising its potential role in improving automatic speech recognition.
    [paper PDF] [paper PS]

• Carreira-Perpinan, M. A. (1995): Compression neural networks and feature extraction: Application to human recognition from ear images (in Spanish). MSc thesis, Technical University of Madrid, Spain.
  [abstract] [paper] [slides] [database of ear images]

Technical Reports

• Carreira-Perpinan, M. A. and Williams, C. K. I. (2003): An isotropic Gaussian mixture can have more modes than components. Technical report EDI-INF-RR-0185, School of Informatics, University of Edinburgh, UK.
  [external link] [paper] [supplementary information]

• Carreira-Perpinan, M. A. and Williams, C. K. I. (2003): On the number of modes of a Gaussian mixture. Technical report EDI-INF-RR-0159, School of Informatics, University of Edinburgh, UK.
  [external link] [paper] [supplementary information]

• Carreira-Perpinan, M. A. (1999): Mode-finding for mixtures of Gaussian distributions (revised August 4, 2000). Technical report CS-99-03, Dept. of Computer Science, University of Sheffield, UK.
  [external link] [paper] [supplementary information]

• Carreira-Perpinan, M. A. (1997): Density networks for dimension reduction of continuous data: Analytical solutions. Technical report CS-97-09, Dept. of Computer Science, University of Sheffield, UK.
  [external link] [paper]

• Carreira-Perpinan, M. A. (1996): A review of dimension reduction techniques. Technical report CS-96-09, Dept. of Computer Science, University of Sheffield, UK.
  [external link] [paper]
  Note: this document is out of date. A much more extensive review is provided in chapter 4 of my PhD thesis.

• Carreira-Perpinan, M. A. (1994): ESA Thermal Analysis Program (ESATAN): An evaluation. European Space Agency Internal Report DOPS-SST-TN-0215-SIM, Darmstadt, Germany.
  [abstract] [paper]

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