APS1070 Foundations of Data Analytics and Machine Learning Fall 2021 Week 5: • LinearAlgebra • Analytical Geometry • Data Augmentation Prof. Mid-term assessment logistics ➢Platform:…
Computer Vision (7CCSMCVI / 6CCS3COV) Recap • Image formation ● Low-level vision ● Mid-level vision • • grouping and segmentation (finding matching elements within an…
ARMA Models Properties of MA(q) 7.5 Properties of MA(q) We will look at some properties of MA(q) processes Xt =μ+Wt +θ1Wt−1 +θ2Wt−2 +…+θqWt−q. Finite MA(q)…
F71SM STATISTICAL METHODS Tutorial on Section 4 SPECIAL DISTRIBUTIONS (continuous distributions): SO- LUTIONS 1. (a) MX(t) = eμt+σ2t2/2, and Z ∼ N(0,1) so 2. (a)…
5.7 PCA WITH REGRESSION (PCR) Hastie, Tibshirani and Friedman (ESL), Section 3.5 The PCs are also often used as a dimension reduction tool used…
Feature-Based Methods Matching based on sparse set of features within each image. Detect interest points in both images Find corresponding pairs of points: for each…
Deterministic Finite Automata COMP1600 / COMP6260 Australian National University Semester 2, 2020 The Story So Far … Logic. language and proofs to speak about systems…
King’s College London This paper is part of an examination of the College counting towards the award of a degree. Examinations are governed by the…
ARMA Models Parameter redundancy 7.8 Parameter redundancy Remember: A zero mean ARMA(p, q) model is defined by Xt −φ1Xt−1 −···−φpXt−1 = Wt +θ1Wt−1 +…θqWt−q φ(B)Xt…
Grammars and COMP1600 / COMP6260 Australian National University Semester 2, 2021 1/59 Formal Languages – A Reminder of Terminology The alphabet or vocabulary of a…