'Basis vector' presentation slideshows

Outline

1.22k views • 92 slides

Discrete Transform

Discrete Transform. Introduction. A transform maps image data into a different mathematical space via a transformation equation. One example of transform that we had encountered before is the transform from one color space to another color space. RGB to SCT (spherical coordinate transform).

1.18k views • 89 slides

Video Game Rendering Mathematics

550 views • 54 slides

VECTOR IN PLANE

VECTOR. VECTOR IN PLANE. THE PURPOSE OF LEARNING :. VECTOR. The students have ability to develop their skill in doing, applying, and solving daily life problem that connected with vector. CS :. Applying vector concept in solving a problem. BC :. Applying vector in a plane

511 views • 30 slides

Introduction

Latent semantic space: Iterative scaling improves precision of inter-document similarity measurement.

292 views • 22 slides

Linear Transformations

Linear Transformations. Hopfield Network Questions. Hopfield Network Questions. The network output is repeatedly multiplied by the weight matrix W. What is the effect of this repeated operation? Will the output converge, go to infinity, oscillate?

511 views • 20 slides

Chapter 3

Chapter 3. Section 3.4 Bases for Subspaces. Spanning Sets

186 views • 9 slides

Eigenvalues and Eigenvectors

Eigenvalues and Eigenvectors. Computations And Geometry. Eigenvalues and Eigenvectors Let A be a matrix if there exists a scalar, and x a nonzero vector such that . We call an eigenvalue of the matrix A and x an eigenvector of the matrix A . is a Eigenvalue for A

716 views • 7 slides

ROTATION

ROTATION. ROTATION. ROTATION. ROTATION. ROTATION. Pamela Leutwyler. problem: Rx = the counterclockwise rotation of x through 30 degrees. Find a matrix for the linear mapping R. Rotate conterclockwise through 30 degrees:. Rotate conterclockwise

83 views • 5 slides