'Regularization term' presentation slideshows

Manifold learning

Manifold learning. Xin Yang. Outline. Manifold and Manifold Learning Classical Dimensionality Reduction Semi-Supervised Nonlinear Dimensionality Reduction Experiment Results Conclusions. What is a manifold?. Examples: sphere and torus. Why we need manifold?. Manifold learning.

595 views • 29 slides

Summer Project Presentation

Summer Project Presentation. Presented by:Mehmet Eser Advisors : Dr. Bahram Parvin Associate Prof. George Bebis. Introduction. What is morphing ? In what areas is morphing used ? What methods are used for morphing for solid shapes?. What are Solid Shapes?. A slice from a brain MRI scan.

359 views • 22 slides

How to Control Acceptance Threshold for Biometric Signatures with Different Confidence Values?

How to Control Acceptance Threshold for Biometric Signatures with Different Confidence Values?. Yasushi Makihara ( ?? ? ) , Md. Altab Hossain , Yasushi Yagi ( ?? ?? ) ??? ? ICPR 2010. Introduction. Biometrics-based verification Quality measure False Acceptance Rate(FAR)

312 views • 14 slides

Mathematical formulation

306 views • 8 slides

Laplacian Regularization on Graph Learning

Laplacian Regularization on Graph Learning. Mingzhen. Motivation. Previous Work on exposing info. of social network Learn how laplacian regularization (LR) works. Objective of LR. Global Consistency Local Consistency. f 2. f 5. 5. 2. f 1. f 6. 2. 5. 5. 2. 5. f 7. 5. f 3. f 4.

67 views • 5 slides