J.T. Lindgren

Researcher, PhD

Context

data I'm currently with VAGC computer vision team
developing camera-based human tracking technology.

Past affiliations: Algodan, HIIT Neuroinformatics Group

Some interests

  • Computational visual processing
    • Recognition and tracking
    • Low-level vision
    • Scene interpretation
  • Statistical machine learning
    • Classification and regression
    • Input transformations and representation
  • Cultural revolution
    • Virtual realities
    • Anonymity

Publications

ContentCode
Learning Natural Image Structure with a Horizonal Product Model (with Urs Köster, Michael Gutmann and Aapo Hyvärinen). ICA 2009.
preprint
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Estimating Markov Random Field Potentials for Natural Images (with Urs Köster and Aapo Hyvärinen). ICA 2009.
preprint
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Learning Nonlinear Visual Processing from Natural Images. PhD thesis, Department of Computer Science, Report A-2008-5, 2008.
pdf
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Spatial dependencies between local luminance and contrast in natural images (with Jarmo Hurri and Aapo Hyvärinen). Journal of Vision, 8(12):6, p. 1-13, 2008.
link
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On the learning of nonlinear visual features from natural images by optimizing response energies (with Aapo Hyvärinen). Proc. International Joint Conference on Neural Networks (IJCNN'08), pp. 1027--1034, 2008.
preprint
slides
v1.0
Unsupervised learning of dependencies between local luminance and contrast in natural images (with Jarmo Hurri and Aapo Hyvärinen). Proc. International Joint Conference on Neural Networks (IJCNN'08), pp. 357--363, 2008.
preprint
slides
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The statistical properties of local log-contrast in natural images (with Jarmo Hurri and Aapo Hyvärinen). Proc. 15th Scandinavian Conference on Image Analysis (SCIA), pp. 354-363, 2007.
preprint
poster
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Emergence of conjunctive visual features by quadratic independent component analysis (with Aapo Hyvärinen). Advances in Neural Information Processing Systems, NIPS, 2006.
preprint
poster
v1.0
Online Learning of Discriminative Patterns from Unlimited Sequences of Candidates (with Ilkka Autio). Proc. 18th International Conference on Pattern Recognition, ICPR, 2006.
preprint
slides
v1.0
Attention-driven Parts-Based Object Recognition (with Ilkka Autio). Proc. 16th European Conference on Artificial Intelligence, ECAI, pp. 917-921, 2004.
preprint
v1.0
Learning High-Level Independent Components of Images Through a Spectral Representation (with Aapo Hyvärinen). Proc. 17th International Conference on Pattern Recognition, ICPR, volume 2, pp. 72-75, 2004.
preprint
v1.0
Applying machine learning methods in studying relationships between mouthfeel and microstructure in oat bread (with M. Salmenkallio-Marttila, K. Roininen, J. Rousu, K. Autio and L. Lähteenmäki). Journal of Texture Studies 35, p. 225-250, 2004.
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Discriminant Analysis in Artificiality Detection, 2004, unsubmitted manuscript
pdf
v1.0
An Encoding for Censorship-resistant sharing (with K. Bennett, C. Grothoff and T. Horozov), technical report, 2003-2005
ps
link
Stochastic Swarms of Approximative Gnats, 2003, unsubmitted manuscript
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Microscopy image analysis of bread using machine learning methods (with Juho Rousu), Technical Report C-2002-68, Department of Computer Science, University of Helsinki, 2002
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Experiments with Projection Learning (with Tapio Elomaa), 5th international conference on Discovery Science, pp. 127-140, 2002.
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Detecting Artificiality with Support Vector Machines, 2002, unsubmitted manuscript
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- jl, aug. 2009