# Meeting #1 (09/11/2022)—Introduction and Timeline 13:00-14:00, B54/9001 ## Topics: 0. Introduction 1. Timeline, future meeting arrangements 2. Project topics/ideas 3. Report write-up and presentation 4. After this meeting ## 0. Introduction ... ## 1. Timeline and Arrangement ... ## 2. Project Topics/Ideas ... ## 3. Report Write-Up Learn LaTeX in 30 minutes https://www.overleaf.com/learn/latex/Learn_LaTeX_in_30_minutes List of Math Symbols https://www.caam.rice.edu/~heinken/latex/symbols.pdf Overleaf (for online and collaborating projects) http://www.overleaf.com/ R markdown: Introduction: https://rmarkdown.rstudio.com/articles_intro.html Cheatsheet: https://www.rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf Writting Academic Thesis: https://www.personal.soton.ac.uk/cz1y20/Teaching/MATH3092/report_write_up.html ## After this meeting Think about your own project topics and search/read relevant references. We will discuss and finalise your project directions in the next individual meeting. <!-- ## 4. Unsupervised Learning Difference machine learning problems: * Supervised Learning * Reinforcement Learning * Unsupervised Learning ### - Clustering $K$-Means, density-based clustering, hierarchical clustering, spectral clustering,.... Modern Development: semi-supervised/contrastive learning,.... ### - Dimension Reduction/Principal Component Analysis PCA: \begin{align} \text{minimise}\quad &||X-L||_2\\ \text{subject to } \quad &rank(L)\le k, \end{align} MDL, random projection,... Modern Development: sufficient dimension reduction, SIR, robust/sparse PCA, PCA for high-dimensional data, manifold learning,.... ### - Applications Video Surveillance Face Recognition Computational Vision ...... -->