+ All Categories

Home > Education > Dimensionality reduction (pca)

Dimensionality reduction (pca)

Date post:	16-Jul-2015
Category:	Education
Upload:	suresh-kannaiyan
View:	460 times
Download:	1 times

Download Report this document

Share this document with a friend

Embed Size (px):

10

Transcript

Page 1: Dimensionality reduction (pca)

Page 2: Dimensionality reduction (pca)

Page 3: Dimensionality reduction (pca)

Page 4: Dimensionality reduction (pca)

Data CompressionImage Comparison & etcExample : Face Recognition

Page 5: Dimensionality reduction (pca)

Page 6: Dimensionality reduction (pca)

Page 7: Dimensionality reduction (pca)

Page 8: Dimensionality reduction (pca)

Page 9: Dimensionality reduction (pca)

Page 10: Dimensionality reduction (pca)

Recommended

CSE 446 Dimensionality Reduction and PCA Winter 2012

Principal Component Analysis - seas.upenn.eduese224/slides/800_pca.pdf · Principal Component Analysis (PCA) transform Dimensionality reduction Principal Components Face recognition

DIMENSIONALITY REDUCTION: PCA, MDSrita/uml_course/lectures/PCA_MDS.pdf · Relation to PCA PCA MDS Spectral Decomposition Covariance matrix ( D x D) Gram matrix (n x n) Eigenvalues

Dimensionality Reduction PCA · 2017. 2. 24. · 1 Dimensionality Reduction PCA Machine Learning –CSE446 David Wadden (slides provided by Carlos Guestrin) University of Washington

Dimensionality reduction in decentralized networks by ... · Dimensionality reduction in decentralized networks by Gossip aggregation ... In contrast to usual centralized PCA, we

Lecture 8 - Computer Science - Western University · Lecture 8. Today Continue with Dimensionality Reduction Last lecture: PCA This lecture: Fisher Linear Discriminant. PCA finds

SuperPCA: A Superpixelwise PCA Approach for ...dimensionality reduction, feature extraction, principal compo-nent analysis (PCA), superpixel segmentation. I. INTRODUCTION The research

PCA and LDA - EIEmwmak/EIE6207/PCA-LDA-beamer.pdf · Man-Wai MAK (EIE) PCA and LDA October 24, 2019 3 / 29. Dimension Reduction Given a feature vector x 2RD, dimensionality reduction

MLCC 2015 Dimensionality Reduction and PCAlcsl.mit.edu/courses/mlcc/mlcc2015/slides/MLCC_05_PCA.pdf · MLCC 2015 Dimensionality Reduction and PCA Lorenzo Rosasco UNIGE-MIT-IIT June

Dimensionality reduction Principal Component Analysis (PCA ...dprecup/courses/ML/... · Reduction to ddimensions More generally, we can create a d-dimensional representation of our

CSE446: Dimensionality Reduction and PCA Spring 2017 · 2017-05-25 · Spring 2017 Slides adapted from Carlos Guestrin and Luke Zettlemoyer. Dimensionality reduction • Input data

PCA & Fisher Discriminant Analysisjavierhr/files/slidesPCA.pdf · PCA vs LDA 23 PCA: Perform dimensionality reduction while preserving as much of the variance in the high dimensional

Lecture outline Dimensionality reduction – SVD/PCA – CUR decompositions Nearest-neighbor search in low dimensions – kd-trees.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ... · Dimensionality reduction. PCA has been extensively used to reduce the dimensionality of SIFT vectors [20], [6]. In this way,

DATA MINING LECTURE 7 Dimensionality Reduction PCA – SVD (Thanks to Jure Leskovec, Evimaria Terzi)

DATA MINING LECTURE 8 Dimensionality Reduction PCA -- SVD.

Dimensionality Reduction with PCA - Over ons · Dimensionality Reduction PCA - Principal Components Analysis PCA Experiment The Dataset Discussion Conclusion. Why dimensionality reduction?

Using PCA and Factor Analysis for Dimensionality Reduction ...