/master-mva

Scripts I wrote during my master

Primary LanguagePython

master-mva

Scripts I wrote during my master

  • For the probabilistic graphical models course (F. bach)

    • K-Means (Done)
    • Gaussian Mixture Model (just to commit)
    • Hidden Markov Chain (Done)
    • Conditional Random Fields (TODO)
  • For the computer vision & object recognition course (J. Sivic, J. Ponce, C. Schmid)

    • Project: multiview CCA for caption generation using CNN (ImageNet pretrained) and Word2Vec embedding (TODO)
  • For random matrices course (TODO)

  • Semi-circle law

  • Marcenko Pastur distribution and first order perturbation

  • TP1 (eigein values of large covariance matrices estimation)

  • TP2 (spectral clustering)

  • For the stochastic image analysis course (A. Desolneux)

  • n-grams for text generation

  • binary image segmentation via MRFs (simulated annealing/MCMC for inference)

  • For the kernel methods course (J. Mairal)

  • code of our SVM (ranked 4th on the kaggle)