Face Recognition Techniques and Applications - Lecture 14
Explore face recognition techniques, from simple approaches to advanced methods like PCA and Linear Discriminant Analysis. Learn about eigenvectors, image compression, and scatter matrices.
Matlab Tutorial
Learn MATLAB basics for computer vision: variables, vectors, matrices, image operations, filters, and more. Practical tutorial for beginners and intermediate users.
Linear Algebra Basics for Computer Vision - Lecture 2
Explore essential linear algebra concepts including vectors, matrices, transformations, and SVD, with practical applications in computer vision and machine learning.
Subspace Capsule Network
Explore Subspace Capsule Networks: a novel approach to neural networks that preserves information, norms, and angles. Learn about its principles, applications, and advantages in image classification and generation.
Fundamental Matrix and Stereo Vision - Lecture 13
Explore fundamental matrices, stereo photosynthesis, and random sampling consensus in image processing and computer vision applications.
Facial Recognition: Eigenvectors and Covariance Matrices - Lecture 14
Explore facial recognition technology, from simple approaches to advanced techniques using eigenvectors and covariance matrices. Learn about challenges and solutions in this field.
Basics of Linear Algebra for Computer Vision - Part II - Lecture 3
Explore essential linear algebra concepts for computer vision, including matrix operations, determinants, and transformations, enhancing your understanding of image processing fundamentals.
Numerical Modeling
Learn to solve linear and nonlinear algebraic equations using various numerical methods and MATLAB, including Gaussian elimination, Newton-Raphson, and secant methods for practical engineering applications.
Power Electronics: State Space Averaging and Linearization - Lecture 25
Explore state space averaging for modeling switching converters and linearization of nonlinear averaged models to realize control-to-output transfer functions in power electronics.
Linear Algebra
Explore fundamental concepts of linear algebra, including vector spaces, linear transformations, and group theory, enhancing mathematical problem-solving skills.
Digital Signal Processing Lectures, Fall 2014
Comprehensive lectures on digital signal processing, covering signals, systems, transforms, filtering, and advanced topics. Ideal for engineering students seeking in-depth understanding of DSP concepts and applications.
A Polynomial Bogolyubov-Type Result for the Special Linear Group
Explore a mathematical lecture on a polynomial Bogolyubov-type result for the special linear group. Delve into the analogy between subset properties in finite dimensional vector spaces and the special linear group over a finite field. Learn about the ach…
Two-sided Lieb-Thirring Bounds for Semi-bounded Schrödinger Operators
Explore upper and lower bounds for eigenvalues of semi-bounded Schrödinger operators, focusing on atomic Hamiltonians with Kato potentials and the landscape function in all spatial dimensions.
Projector Monte Carlo and Exact Diagonalization with Rimu.jl
Explore quantum many-body physics with Rimu.jl: implement projector Monte Carlo, perform exact diagonalization, and extend models using Julia's speed and flexibility.
Random Graphs and Nonlinear Spectral Gaps
Explore discrete Poincaré inequalities in regular expander graphs, long-range expansion properties, and their implications for Banach space-valued functions, with improved estimates for Poincaré constants.
Decoupling Identities and Oriented Matroids and Beyond
Explore advanced mathematical concepts in decoupling identities and oriented matroids, delving into their applications and extensions in physics and beyond.
Scattering Amplitudes, Multi-variate Residues and Valuated Matroids
Delve into scattering amplitudes, exploring multi-variate residues on Grassmannians and moduli spaces. Uncover connections between physical problems and geometric combinatorics.
Mathematical Snippets From Developments in AI
Explore mathematical insights arising from AI developments in this colloquium by Lek-Heng Lim, examining key observations and their implications for the field.
Symmetries of Manifolds - Lecture 3
Explore symmetries of manifolds in topology and geometry. Delve into classical and recent results, methods, and emerging conjectures about symmetry spaces of simple manifolds like spheres and discs.
Symmetries of Manifolds - Lecture 2
Delve into symmetries of manifolds, exploring classical and recent results on spaces of symmetries for simple manifolds like spheres and discs, with insights into emerging conjectural perspectives.
Symmetries of Manifolds - Lecture 1
Explore symmetries of manifolds in topology and geometry. Delve into classical and recent results, methods, and emerging conjectures about symmetry spaces of simple manifolds like spheres and discs.