preprints

Preprints and Working Papers

Also see:

Note that this list may not be updated as frequently as others, see my Arxiv page and Google Scholar for the latest.

2021

  1. Generative Locally Linear Embedding
    Ghojogh, Benyamin, Ghodsi, Ali, Karray, Fakhri, and Crowley, Mark
    2021
  2. Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey
    Ghojogh, Benyamin, Ghodsi, Ali, Karray, Fakhri, and Crowley, Mark
    arXiv preprint arXiv:2101.00734 2021
  3. Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey
    Ghojogh, Benyamin, Ghodsi, Ali, Karray, Fakhri, and Crowley, Mark
    arXiv preprint arXiv:2106.02154 2021
  4. Reproducing Kernel Hilbert Space, Mercer’s Theorem, Eigenfunctions, Nystr\backslash" om Method, and Use of Kernels in Machine Learning: Tutorial and Survey
    Ghojogh, Benyamin, Ghodsi, Ali, Karray, Fakhri, and Crowley, Mark
    arXiv preprint arXiv:2106.08443 2021

2020

  1. Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks
    Ghojogh, Benyamin, Sikaroudi, Milad, Shafiei, Sobhan, Tizhoosh, Hamid R, Karray, Fakhri, and Crowley, Mark
    arXiv preprint arXiv:2004.04674 2020
  2. Locally Linear Embedding and its Variants: Tutorial and Survey
    Ghojogh, Benyamin, Ghodsi, Ali, Karray, Fakhri, and Crowley, Mark
    arXiv preprint arXiv:2011.10925 2020
  3. Multidimensional scaling, Sammon mapping, and Isomap: Tutorial and survey
    Ghojogh, Benyamin, Ghodsi, Ali, Karray, Fakhri, and Crowley, Mark
    arXiv preprint arXiv:2009.08136 2020
  4. Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    arXiv preprint arXiv:2006.15736 2020
  5. Sampling algorithms, from survey sampling to Monte Carlo methods: Tutorial and literature review
    Ghojogh, Benyamin, Nekoei, Hadi, Ghojogh, Aydin, Karray, Fakhri, and Crowley, Mark
    arXiv preprint arXiv:2011.00901 2020
  6. Stochastic neighbor embedding with Gaussian and Student-t distributions: Tutorial and survey
    Ghojogh, Benyamin, Ghodsi, Ali, Karray, Fakhri, and Crowley, Mark
    arXiv preprint arXiv:2009.10301 2020

2019

  1. Feature selection and feature extraction in pattern analysis: A literature review
    Ghojogh, Benyamin, Samad, Maria N, Mashhadi, Sayema Asif, Kapoor, Tania, Ali, Wahab, Karray, Fakhri, and Crowley, Mark
    2019
  2. The theory behind overfitting, cross validation, regularization, bagging, and boosting: tutorial
    Ghojogh, Benyamin, and Crowley, Mark
    2019
  3. Linear and Quadratic Discriminant Analysis: Tutorial
    Ghojogh, Benyamin, and Crowley, Mark
    2019
  4. Unsupervised and supervised principal component analysis: Tutorial
    Ghojogh, Benyamin, and Crowley, Mark
    2019
  5. Fisher and kernel fisher discriminant analysis: Tutorial
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    2019
  6. Quantized Fisher Discriminant Analysis
    Ghojogh, Benyamin, Pasand, Ali Saheb, Karray, Fakhri, and Crowley, Mark
    2019
  7. Distributed Voting in Beep Model
    Ghojogh, Benyamin, and Salehkaleybar, Saber
    2019
  8. Hidden Markov Model: Tutorial
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    2019
  9. Eigenvalue and Generalized Eigenvalue Problems: Tutorial
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    2019
  10. Fitting A Mixture Distribution to Data: Tutorial
    Ghojogh, Benyamin, Ghojogh, Aydin, Crowley, Mark, and Karray, Fakhri
    2019
  11. Addressing the Mystery of Population Decline of the Rose-Crested Blue Pipit in a Nature Preserve using Data Visualization
    Ghojogh, Benyamin, Crowley, Mark, and Karray, Fakhri
    2019
  12. Roweis Discriminant Analysis: A Generalized Subspace Learning Method
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    2019